python_backend/notebook/machine learning intern.csv

Title,Company,Job Link,Apply Link,Description,img_link
AI/ML Intern,Hyperqube Ionic,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
As an AI/ML intern, you will have the opportunity to work on cutting-edge projects at the intersection of artificial intelligence, machine learning and private market investments. We view this internship as a 3–6 month interview for your permanent seat at the table.

You will be using your knowledge of and experience in Python, artificial intelligence, natural language processing (NLP), neural networks, machine learning, LLMs and modern, scalable AI technologies to develop innovative, technology-driven solutions for our company.

Company Overview:

Hyperqube Ionic is at the forefront of developing scalable technology infrastructure redefining how private capital forms conviction, builds trust, and moves into companies. Through our proprietary technology and machine learning algorithms, we uncover hidden signals, standardize information, unlock better decision-making, cull noise, and ensure faster outcomes.

We are pioneering the development of the missing operating system of private markets with the objective of eliminating the outdated practices that make private markets inefficient and fragmented. We are sector- and stage-agnostic, and leverage our proprietary approaches and data gathering pipelines to uncover market intelligence most relevant to modern businesses and investors. 

Founded by an IIT Delhi alumnus, NYU Stern MBA and former NYC investment banker, the firm aims to utilize a strong understanding and know-how of private markets to deliver a compelling value proposition to all participants involved.

Key Responsibilities:

Collaborate with senior leadership to develop and implement ML algorithms to integrate into our applications
Assist in building and optimizing models for various AI applications relating to the company’s objectives
Conduct data collection, analysis and preparation for training machine learning models and developing scorecards and recommendation engines
Assist in deploying and monitoring ML models in a cloud environment (AWS/GCP/Azure)
Improve our internal knowledge base using RAG architecture to make complex private market data searchable
Working on Gen AI applications of open source or proprietary LLMs
Work on NLP projects including sentiment analysis, text classification, etc
Research and implement new AI techniques to improve existing models
Assist in designing and implementing data structures for efficient data processing
Present findings and recommendations to the AI and founding teams and contribute to the overall growth of the company

If you are passionate about AI and ML, and eager to learn and grow in this field, this internship is the perfect opportunity for you to gain valuable hands-on experience and make a real impact. Join us in shaping the future of private markets!

Desired Skills and Experience:

Experience in Python, artificial intelligence, natural language processing (NLP), neural networks, machine learning, deep learning, LLMs and data science acquired through strong academic research in the field or past internships in similar roles

Preferred Qualifications:

Bachelors or Masters in computer science, math, statistics or a related field from reputed institutions with in India or abroad
Candidates nearing graduation or recently graduated are preferred

Compensation:

Base monthly stipend
One-time assured bonus payable at the end of the internship
Performance-linked incentives payable at the end of the internship at the company’s discretion

Location:

Remote",https://media.licdn.com/dms/image/v2/D560BAQGfY7IzJUkZkg/company-logo_100_100/company-logo_100_100/0/1727618037754/hyperqube_ionic_logo?e=1776297600&v=beta&t=__p3HokvIG0Fdd4sbogfOQhdo2KD751FhygnRt9WlLM
AI/ML Intern,Hyperqube Ionic,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
As an AI/ML intern, you will have the opportunity to work on cutting-edge projects at the intersection of artificial intelligence, machine learning and private market investments. We view this internship as a 3–6 month interview for your permanent seat at the table.

You will be using your knowledge of and experience in Python, artificial intelligence, natural language processing (NLP), neural networks, machine learning, LLMs and modern, scalable AI technologies to develop innovative, technology-driven solutions for our company.

Company Overview:

Hyperqube Ionic is at the forefront of developing scalable technology infrastructure redefining how private capital forms conviction, builds trust, and moves into companies. Through our proprietary technology and machine learning algorithms, we uncover hidden signals, standardize information, unlock better decision-making, cull noise, and ensure faster outcomes.

We are pioneering the development of the missing operating system of private markets with the objective of eliminating the outdated practices that make private markets inefficient and fragmented. We are sector- and stage-agnostic, and leverage our proprietary approaches and data gathering pipelines to uncover market intelligence most relevant to modern businesses and investors. 

Founded by an IIT Delhi alumnus, NYU Stern MBA and former NYC investment banker, the firm aims to utilize a strong understanding and know-how of private markets to deliver a compelling value proposition to all participants involved.

Key Responsibilities:

Collaborate with senior leadership to develop and implement ML algorithms to integrate into our applications
Assist in building and optimizing models for various AI applications relating to the company’s objectives
Conduct data collection, analysis and preparation for training machine learning models and developing scorecards and recommendation engines
Assist in deploying and monitoring ML models in a cloud environment (AWS/GCP/Azure)
Improve our internal knowledge base using RAG architecture to make complex private market data searchable
Working on Gen AI applications of open source or proprietary LLMs
Work on NLP projects including sentiment analysis, text classification, etc
Research and implement new AI techniques to improve existing models
Assist in designing and implementing data structures for efficient data processing
Present findings and recommendations to the AI and founding teams and contribute to the overall growth of the company

If you are passionate about AI and ML, and eager to learn and grow in this field, this internship is the perfect opportunity for you to gain valuable hands-on experience and make a real impact. Join us in shaping the future of private markets!

Desired Skills and Experience:

Experience in Python, artificial intelligence, natural language processing (NLP), neural networks, machine learning, deep learning, LLMs and data science acquired through strong academic research in the field or past internships in similar roles

Preferred Qualifications:

Bachelors or Masters in computer science, math, statistics or a related field from reputed institutions with in India or abroad
Candidates nearing graduation or recently graduated are preferred

Compensation:

Base monthly stipend
One-time assured bonus payable at the end of the internship
Performance-linked incentives payable at the end of the internship at the company’s discretion

Location:

Remote",N/A
AI/ML Intern,Hyperqube Ionic,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
As an AI/ML intern, you will have the opportunity to work on cutting-edge projects at the intersection of artificial intelligence, machine learning and private market investments. We view this internship as a 3–6 month interview for your permanent seat at the table.

You will be using your knowledge of and experience in Python, artificial intelligence, natural language processing (NLP), neural networks, machine learning, LLMs and modern, scalable AI technologies to develop innovative, technology-driven solutions for our company.

Company Overview:

Hyperqube Ionic is at the forefront of developing scalable technology infrastructure redefining how private capital forms conviction, builds trust, and moves into companies. Through our proprietary technology and machine learning algorithms, we uncover hidden signals, standardize information, unlock better decision-making, cull noise, and ensure faster outcomes.

We are pioneering the development of the missing operating system of private markets with the objective of eliminating the outdated practices that make private markets inefficient and fragmented. We are sector- and stage-agnostic, and leverage our proprietary approaches and data gathering pipelines to uncover market intelligence most relevant to modern businesses and investors. 

Founded by an IIT Delhi alumnus, NYU Stern MBA and former NYC investment banker, the firm aims to utilize a strong understanding and know-how of private markets to deliver a compelling value proposition to all participants involved.

Key Responsibilities:

Collaborate with senior leadership to develop and implement ML algorithms to integrate into our applications
Assist in building and optimizing models for various AI applications relating to the company’s objectives
Conduct data collection, analysis and preparation for training machine learning models and developing scorecards and recommendation engines
Assist in deploying and monitoring ML models in a cloud environment (AWS/GCP/Azure)
Improve our internal knowledge base using RAG architecture to make complex private market data searchable
Working on Gen AI applications of open source or proprietary LLMs
Work on NLP projects including sentiment analysis, text classification, etc
Research and implement new AI techniques to improve existing models
Assist in designing and implementing data structures for efficient data processing
Present findings and recommendations to the AI and founding teams and contribute to the overall growth of the company

If you are passionate about AI and ML, and eager to learn and grow in this field, this internship is the perfect opportunity for you to gain valuable hands-on experience and make a real impact. Join us in shaping the future of private markets!

Desired Skills and Experience:

Experience in Python, artificial intelligence, natural language processing (NLP), neural networks, machine learning, deep learning, LLMs and data science acquired through strong academic research in the field or past internships in similar roles

Preferred Qualifications:

Bachelors or Masters in computer science, math, statistics or a related field from reputed institutions with in India or abroad
Candidates nearing graduation or recently graduated are preferred

Compensation:

Base monthly stipend
One-time assured bonus payable at the end of the internship
Performance-linked incentives payable at the end of the internship at the company’s discretion

Location:

Remote",N/A
Data Science Intern,Collegedunia,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
Location: Gurgaon
Mode: Work From Office (WFO)
Duration: 6 months (extendable based on performance)

About the Role
We are looking for a motivated Data Science Intern to support our AI, analytics, and automation initiatives. The
ideal candidate should have strong analytical skills, hands-on experience with Python/ML basics, and a
willingness to explore advanced AI workflows.

Key Responsibilities (KRAs)
1. Build and maintain deep learning models for analytical, forecasting, and predictive use cases.
2. Develop Agentic AI workflows and automation pipelines to enhance productivity and system efficiency.
3. Perform data cleaning, preprocessing, and feature engineering to prepare high-quality datasets.
4. Collaborate with cross-functional teams to deliver data-driven solutions aligned with business needs.

Requirements
 Strong understanding of Python, Machine Learning, and basic Deep Learning (TensorFlow/PyTorch).
 Good knowledge of data preprocessing, EDA, and feature engineering.
 Familiarity with LLMs, agent-based systems, or automation pipelines (bonus).
 Experience with SQL and basic data structures.
 Ability to work in a fast-paced team environment and learn quickly.

Good to Have
 Prior academic/industry ML projects (NLP, LLMs, automation, etc.).
 Knowledge of cloud platforms (AWS/GCP/Azure).
 Exposure to MLOps or workflow orchestration tools.",https://media.licdn.com/dms/image/v2/C560BAQHCm62VvmUA0Q/company-logo_100_100/company-logo_100_100/0/1630657086263/collegedunia_logo?e=1776297600&v=beta&t=H5QRjmBdkIx3jtIsLw28KsvEA0QBGBt9RYy9QATNQUA
Data Science Intern,Collegedunia,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
Location: Gurgaon
Mode: Work From Office (WFO)
Duration: 6 months (extendable based on performance)

About the Role
We are looking for a motivated Data Science Intern to support our AI, analytics, and automation initiatives. The
ideal candidate should have strong analytical skills, hands-on experience with Python/ML basics, and a
willingness to explore advanced AI workflows.

Key Responsibilities (KRAs)
1. Build and maintain deep learning models for analytical, forecasting, and predictive use cases.
2. Develop Agentic AI workflows and automation pipelines to enhance productivity and system efficiency.
3. Perform data cleaning, preprocessing, and feature engineering to prepare high-quality datasets.
4. Collaborate with cross-functional teams to deliver data-driven solutions aligned with business needs.

Requirements
 Strong understanding of Python, Machine Learning, and basic Deep Learning (TensorFlow/PyTorch).
 Good knowledge of data preprocessing, EDA, and feature engineering.
 Familiarity with LLMs, agent-based systems, or automation pipelines (bonus).
 Experience with SQL and basic data structures.
 Ability to work in a fast-paced team environment and learn quickly.

Good to Have
 Prior academic/industry ML projects (NLP, LLMs, automation, etc.).
 Knowledge of cloud platforms (AWS/GCP/Azure).
 Exposure to MLOps or workflow orchestration tools.",N/A
Data Science Intern,Collegedunia,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
Location: Gurgaon
Mode: Work From Office (WFO)
Duration: 6 months (extendable based on performance)

About the Role
We are looking for a motivated Data Science Intern to support our AI, analytics, and automation initiatives. The
ideal candidate should have strong analytical skills, hands-on experience with Python/ML basics, and a
willingness to explore advanced AI workflows.

Key Responsibilities (KRAs)
1. Build and maintain deep learning models for analytical, forecasting, and predictive use cases.
2. Develop Agentic AI workflows and automation pipelines to enhance productivity and system efficiency.
3. Perform data cleaning, preprocessing, and feature engineering to prepare high-quality datasets.
4. Collaborate with cross-functional teams to deliver data-driven solutions aligned with business needs.

Requirements
 Strong understanding of Python, Machine Learning, and basic Deep Learning (TensorFlow/PyTorch).
 Good knowledge of data preprocessing, EDA, and feature engineering.
 Familiarity with LLMs, agent-based systems, or automation pipelines (bonus).
 Experience with SQL and basic data structures.
 Ability to work in a fast-paced team environment and learn quickly.

Good to Have
 Prior academic/industry ML projects (NLP, LLMs, automation, etc.).
 Knowledge of cloud platforms (AWS/GCP/Azure).
 Exposure to MLOps or workflow orchestration tools.",N/A
"Data Science Internship in Noida, Gurgaon, Delhi, Faridabad, Ghaziabad",MCUBE AI PRIVATE LIMITED,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
This job is sourced from a job board. Learn More
work location - Gurgaon

Selected Intern's Day-to-day Responsibilities Include

 Work closely with our team of data scientists to analyze and interpret complex data sets.
 Research emerging trends in data science and AI to drive innovation.
 Assist in data cleaning, preprocessing, and visualization to extract actionable insights.
 Present findings and recommendations to senior management clearly and concisely.
 Develop and implement machine learning models to improve our AI algorithms.
 Utilize NLP techniques to enhance our natural language processing capabilities.
 Collaborate with cross-functional teams to integrate AI solutions into our products.

About Company: We are an AI native product development organization, where we design and ship fully AI-native products - from concept to production. Whether we are building an AI-powered app, internal platform, automation suite, or enterprise tool, we engineer systems that treat AI as the core engine, not an add-on.

Desired Skills and Experience
Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Python, SQL, Data Analytics, Machine Learning, Data Science",https://media.licdn.com/dms/image/v2/D560BAQEyDj86mzIOjA/company-logo_100_100/B56ZyJx4.fJUAU-/0/1771838083496?e=1776297600&v=beta&t=6bpDxSYgoD0n6ezP8Auy-55nOVNgmcT27btciSk0hI4
"Data Science Internship in Noida, Gurgaon, Delhi, Faridabad, Ghaziabad",MCUBE AI PRIVATE LIMITED,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
This job is sourced from a job board. Learn More
work location - Gurgaon

Selected Intern's Day-to-day Responsibilities Include

 Work closely with our team of data scientists to analyze and interpret complex data sets.
 Research emerging trends in data science and AI to drive innovation.
 Assist in data cleaning, preprocessing, and visualization to extract actionable insights.
 Present findings and recommendations to senior management clearly and concisely.
 Develop and implement machine learning models to improve our AI algorithms.
 Utilize NLP techniques to enhance our natural language processing capabilities.
 Collaborate with cross-functional teams to integrate AI solutions into our products.

About Company: We are an AI native product development organization, where we design and ship fully AI-native products - from concept to production. Whether we are building an AI-powered app, internal platform, automation suite, or enterprise tool, we engineer systems that treat AI as the core engine, not an add-on.

Desired Skills and Experience
Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Python, SQL, Data Analytics, Machine Learning, Data Science",N/A
"Data Science Internship in Noida, Gurgaon, Delhi, Faridabad, Ghaziabad",MCUBE AI PRIVATE LIMITED,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
This job is sourced from a job board. Learn More
work location - Gurgaon

Selected Intern's Day-to-day Responsibilities Include

 Work closely with our team of data scientists to analyze and interpret complex data sets.
 Research emerging trends in data science and AI to drive innovation.
 Assist in data cleaning, preprocessing, and visualization to extract actionable insights.
 Present findings and recommendations to senior management clearly and concisely.
 Develop and implement machine learning models to improve our AI algorithms.
 Utilize NLP techniques to enhance our natural language processing capabilities.
 Collaborate with cross-functional teams to integrate AI solutions into our products.

About Company: We are an AI native product development organization, where we design and ship fully AI-native products - from concept to production. Whether we are building an AI-powered app, internal platform, automation suite, or enterprise tool, we engineer systems that treat AI as the core engine, not an add-on.

Desired Skills and Experience
Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Python, SQL, Data Analytics, Machine Learning, Data Science",https://media.licdn.com/dms/image/v2/D560BAQEyDj86mzIOjA/company-logo_100_100/B56ZyJx4.fJUAU-/0/1771838083496?e=1776297600&v=beta&t=6bpDxSYgoD0n6ezP8Auy-55nOVNgmcT27btciSk0hI4
"Data Science Internship in Noida, Gurgaon, Delhi, Faridabad, Ghaziabad",MCUBE AI PRIVATE LIMITED,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
This job is sourced from a job board. Learn More
work location - Gurgaon

Selected Intern's Day-to-day Responsibilities Include

 Work closely with our team of data scientists to analyze and interpret complex data sets.
 Research emerging trends in data science and AI to drive innovation.
 Assist in data cleaning, preprocessing, and visualization to extract actionable insights.
 Present findings and recommendations to senior management clearly and concisely.
 Develop and implement machine learning models to improve our AI algorithms.
 Utilize NLP techniques to enhance our natural language processing capabilities.
 Collaborate with cross-functional teams to integrate AI solutions into our products.

About Company: We are an AI native product development organization, where we design and ship fully AI-native products - from concept to production. Whether we are building an AI-powered app, internal platform, automation suite, or enterprise tool, we engineer systems that treat AI as the core engine, not an add-on.

Desired Skills and Experience
Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Python, SQL, Data Analytics, Machine Learning, Data Science",N/A
"AI Researcher, Speech & Audio, Intern | Josh Talks",Josh Talks,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
This job is sourced from a job board. Learn More
form :https://forms.gle/ncGqEJrJDvEDhXtL7

AI Researcher, Speech & Audio, Intern -

Internship Opportunity at JoshTalks AI Lab

(ai.joshtalks.com)

Location: Gurgaon, India

Type: Full-time Internship (6–12 months)

Who: Final-year engineering students or recent graduates passionate about AI/ML

in speech

About Us

At JoshTalks AI Lab, we believe that voice will be the primary medium of interaction

between man and machine. Our mission is simple yet ambitious:

Help machines talk like humans.
Build the benchmarks and datasets that become the backbone of global

progress in speech AI.

Drive improvements not just through compute or algorithms — but through

high-quality, diverse, real-world data.

Our datasets today power some of the largest and most widely used speech

models in the world (you’ve definitely used them, even if we can’t name them

😉).

What You’ll Work On

This is not a “just another internship.” You’ll be directly contributing to the global

Race To Perfect Speech AI

 Benchmarking the world’s speech models

○ Design and run evaluations for ASR and speech-to-speech systems.

○ Create benchmarks that will guide top AI labs on where their models

fail and where they shine.

 Modeling & Fine-Tuning

○ Fine-tune speech recognition systems (like Whisper/wav2vec2) to push

Word Error Rates toward ~5%.

○ Experiment with multilingual, code-switched, and noisy speech

to mimic real-world conditions.

 Impact at Scale

○ Your work won’t just sit in a paper. It will influence how the

world’s largest AI models get built, tested, and improved.

Who We’re Looking For

Final-year undergraduates (B.Tech/B.E.) in CSE, EE, AI/ML, or related fields.
Strong interest in speech, audio, NLP, or multimodal AI.
Hands-on experience in one or more of:

○ Fine-tuning speech or language models (Whisper, wav2vec2,

HuBERT, SER, etc.)

○ Building speech-driven projects (assistants, classifiers, chatbots,

SER systems)

○ Working with PyTorch, TensorFlow, or Hugging Face transformers.

Bonus: past projects on GitHub, Kaggle, or research papers.

Why Join Us

Ownership: Even as a final-year student, you’ll get the chance to own

problems of global importance — from reducing ASR word error rates toward

5% to building benchmarks that influence how the next generation of

Speech-to-speech Models Are Developed. These Are Not Side Projects

the problems you’ll work on may define how billions of people interact

with machines in the future.

Front-row seat in speech AI: Your work will shape benchmarks and datasets

used by the world’s top model labs.

Learning: Work with experts solving speech challenges across 20+

Indian languages and noisy, real-world audio.

Impactful projects: The benchmarks and models you help build will

set direction for global AI progress.

Startup energy, global scale: Small team, big impact — perfect for ambitious

builders.

Co-Authorship: If any of the work you contribute to is published as a paper,

benchmark report, or dataset release, you will be credited as a co-author.

This means your contributions won’t just stay inside the lab — they’ll be

visible to the wider research community and part of the academic and

industry record.

Details

Location: Gurgaon (on-site preferred for collaboration)
Duration: 6–12 months
Type: Paid Internship (full-time)
Start Date: Flexible for final-year students (aligns with academic calendar)

If you’re someone who dreams of making speech AI as natural as human

conversation, this is your chance to work on the real frontier. Super interested?

Skills:- Machine Learning (ML)",https://media.licdn.com/dms/image/v2/C4D0BAQEhXz8cBVn4Vw/company-logo_100_100/company-logo_100_100/0/1672770926771/joshtalks_logo?e=1776297600&v=beta&t=4glboJZMLKY_sJS8edDbb-uZFG6cDzkc9lquXtMkABk
"AI Researcher, Speech & Audio, Intern | Josh Talks",Josh Talks,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
This job is sourced from a job board. Learn More
form :https://forms.gle/ncGqEJrJDvEDhXtL7

AI Researcher, Speech & Audio, Intern -

Internship Opportunity at JoshTalks AI Lab

(ai.joshtalks.com)

Location: Gurgaon, India

Type: Full-time Internship (6–12 months)

Who: Final-year engineering students or recent graduates passionate about AI/ML

in speech

About Us

At JoshTalks AI Lab, we believe that voice will be the primary medium of interaction

between man and machine. Our mission is simple yet ambitious:

Help machines talk like humans.
Build the benchmarks and datasets that become the backbone of global

progress in speech AI.

Drive improvements not just through compute or algorithms — but through

high-quality, diverse, real-world data.

Our datasets today power some of the largest and most widely used speech

models in the world (you’ve definitely used them, even if we can’t name them

😉).

What You’ll Work On

This is not a “just another internship.” You’ll be directly contributing to the global

Race To Perfect Speech AI

 Benchmarking the world’s speech models

○ Design and run evaluations for ASR and speech-to-speech systems.

○ Create benchmarks that will guide top AI labs on where their models

fail and where they shine.

 Modeling & Fine-Tuning

○ Fine-tune speech recognition systems (like Whisper/wav2vec2) to push

Word Error Rates toward ~5%.

○ Experiment with multilingual, code-switched, and noisy speech

to mimic real-world conditions.

 Impact at Scale

○ Your work won’t just sit in a paper. It will influence how the

world’s largest AI models get built, tested, and improved.

Who We’re Looking For

Final-year undergraduates (B.Tech/B.E.) in CSE, EE, AI/ML, or related fields.
Strong interest in speech, audio, NLP, or multimodal AI.
Hands-on experience in one or more of:

○ Fine-tuning speech or language models (Whisper, wav2vec2,

HuBERT, SER, etc.)

○ Building speech-driven projects (assistants, classifiers, chatbots,

SER systems)

○ Working with PyTorch, TensorFlow, or Hugging Face transformers.

Bonus: past projects on GitHub, Kaggle, or research papers.

Why Join Us

Ownership: Even as a final-year student, you’ll get the chance to own

problems of global importance — from reducing ASR word error rates toward

5% to building benchmarks that influence how the next generation of

Speech-to-speech Models Are Developed. These Are Not Side Projects

the problems you’ll work on may define how billions of people interact

with machines in the future.

Front-row seat in speech AI: Your work will shape benchmarks and datasets

used by the world’s top model labs.

Learning: Work with experts solving speech challenges across 20+

Indian languages and noisy, real-world audio.

Impactful projects: The benchmarks and models you help build will

set direction for global AI progress.

Startup energy, global scale: Small team, big impact — perfect for ambitious

builders.

Co-Authorship: If any of the work you contribute to is published as a paper,

benchmark report, or dataset release, you will be credited as a co-author.

This means your contributions won’t just stay inside the lab — they’ll be

visible to the wider research community and part of the academic and

industry record.

Details

Location: Gurgaon (on-site preferred for collaboration)
Duration: 6–12 months
Type: Paid Internship (full-time)
Start Date: Flexible for final-year students (aligns with academic calendar)

If you’re someone who dreams of making speech AI as natural as human

conversation, this is your chance to work on the real frontier. Super interested?

Skills:- Machine Learning (ML)",N/A
Computer Vision Intern,Flick2Know,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
We are looking for a Computer Vision Intern to assist in building and refining our image recognition pipeline. The role will start with dataset management—image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is complete, you’ll get hands-on exposure to model training, augmentation, and evaluation, contributing directly to our production-ready pipeline.

Responsibilities

For one in the Seat:

Organize, clean, and preprocess large-scale retail image datasets.
Validate and manage annotations (bounding boxes, class labels, segmentation masks if applicable) using tools like Roboflow or CVAT or LabelImg.
Apply augmentation techniques and prepare datasets for training.
Support in training YOLOv5/YOLOv8-based models on custom datasets.
Run model evaluations (Precision, Recall, F1 Score, SKU-level accuracy).
Collaborate with the product team to improve real-world inference quality.
Document the dataset pipeline and share insights for improving data quality.

Must Have

Who we're looking for:

Basic understanding of Computer Vision concepts (Object Detection, Classification)
Familiarity with Python (OpenCV, Pandas, NumPy)
Knowledge of image annotation tools (Roboflow, LabelImg, CVAT, etc.)
Ability to manage and organise large datasets

Good To Have

Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning)
Exposure to image augmentation techniques (Albumentations, etc.)
Understanding of retail/commercial shelf datasets or product detection problems
Previous internship or project experience in computer vision is a plus",https://media.licdn.com/dms/image/v2/C4E0BAQEgY_MrJX98Ww/company-logo_100_100/company-logo_100_100/0/1631348826733?e=1776297600&v=beta&t=TzrkyqRv7ENwPpFDCL1hxmDLYHgh8WOiDT92ZEVZ5iA
Computer Vision Intern,Flick2Know,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
We are looking for a Computer Vision Intern to assist in building and refining our image recognition pipeline. The role will start with dataset management—image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is complete, you’ll get hands-on exposure to model training, augmentation, and evaluation, contributing directly to our production-ready pipeline.

Responsibilities

For one in the Seat:

Organize, clean, and preprocess large-scale retail image datasets.
Validate and manage annotations (bounding boxes, class labels, segmentation masks if applicable) using tools like Roboflow or CVAT or LabelImg.
Apply augmentation techniques and prepare datasets for training.
Support in training YOLOv5/YOLOv8-based models on custom datasets.
Run model evaluations (Precision, Recall, F1 Score, SKU-level accuracy).
Collaborate with the product team to improve real-world inference quality.
Document the dataset pipeline and share insights for improving data quality.

Must Have

Who we're looking for:

Basic understanding of Computer Vision concepts (Object Detection, Classification)
Familiarity with Python (OpenCV, Pandas, NumPy)
Knowledge of image annotation tools (Roboflow, LabelImg, CVAT, etc.)
Ability to manage and organise large datasets

Good To Have

Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning)
Exposure to image augmentation techniques (Albumentations, etc.)
Understanding of retail/commercial shelf datasets or product detection problems
Previous internship or project experience in computer vision is a plus",N/A
Computer Vision Intern,FieldAssist,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
We are looking for a Computer Vision Intern to assist in building and refining our image recognition pipeline. The role will start with dataset management—image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is complete, you’ll get hands-on exposure to model training, augmentation, and evaluation, contributing directly to our production-ready pipeline.

For one in the Seat:

Responsibilities

Organize, clean, and preprocess large-scale retail image datasets.
Validate and manage annotations (bounding boxes, class labels, segmentation masks if applicable) using tools like Roboflow or CVAT or LabelImg.
Apply augmentation techniques and prepare datasets for training.
Support in training YOLOv5/YOLOv8-based models on custom datasets.
Run model evaluations (Precision, Recall, F1 Score, SKU-level accuracy).
Collaborate with the product team to improve real-world inference quality.
Document the dataset pipeline and share insights for improving data quality.


Who we're looking for:

Must Have:

Basic understanding of Computer Vision concepts (Object Detection, Classification)
Familiarity with Python (OpenCV, Pandas, NumPy)
Knowledge of image annotation tools (Roboflow, LabelImg, CVAT, etc.)
Ability to manage and organise large datasets


Good to have:

Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning)
Exposure to image augmentation techniques (Albumentations, etc.)
Understanding of retail/commercial shelf datasets or product detection problems
Previous internship or project experience in computer vision is a plus",https://media.licdn.com/dms/image/v2/C4E0BAQGmAYOqBR5fMQ/company-logo_100_100/company-logo_100_100/0/1630614064062/fieldassist_logo?e=1776297600&v=beta&t=437bxOlGDi91AmCPu1tbAePGWHYdkhagMtWMHOraqY4
Computer Vision Intern,FieldAssist,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
We are looking for a Computer Vision Intern to assist in building and refining our image recognition pipeline. The role will start with dataset management—image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is complete, you’ll get hands-on exposure to model training, augmentation, and evaluation, contributing directly to our production-ready pipeline.

For one in the Seat:

Responsibilities

Organize, clean, and preprocess large-scale retail image datasets.
Validate and manage annotations (bounding boxes, class labels, segmentation masks if applicable) using tools like Roboflow or CVAT or LabelImg.
Apply augmentation techniques and prepare datasets for training.
Support in training YOLOv5/YOLOv8-based models on custom datasets.
Run model evaluations (Precision, Recall, F1 Score, SKU-level accuracy).
Collaborate with the product team to improve real-world inference quality.
Document the dataset pipeline and share insights for improving data quality.


Who we're looking for:

Must Have:

Basic understanding of Computer Vision concepts (Object Detection, Classification)
Familiarity with Python (OpenCV, Pandas, NumPy)
Knowledge of image annotation tools (Roboflow, LabelImg, CVAT, etc.)
Ability to manage and organise large datasets


Good to have:

Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning)
Exposure to image augmentation techniques (Albumentations, etc.)
Understanding of retail/commercial shelf datasets or product detection problems
Previous internship or project experience in computer vision is a plus",N/A
Face Recognition Engineer,Unified Consultancy Services,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
Job Title

Face Recognition Engineer – HRMS & HRIS

Location:

Remote / Onsite (Flexible)

Employment Type: Full-time - INTERN

About Unified Consultancy Services

Unified Consultancy Services is a next-gen technology and consulting company specializing in AI, automation, and enterprise digital transformation. We are building cutting-edge solutions in HRMS (Human Resource Management Systems) and HRIS (Human Resource Information Systems) with integrated AI-driven face recognition for secure, seamless, and efficient workforce management.

Role Overview

We are seeking a skilled Face Recognition Engineer with expertise in OpenCV, Python, and AI/ML-based biometric systems to design, develop, and integrate face recognition modules into our HRMS & HRIS platforms. The role involves working closely with product and engineering teams to deliver robust, scalable, and secure identity verification and attendance-tracking systems.

Key Responsibilities

Design and implement face recognition algorithms using OpenCV, Python, and deep learning frameworks.
Develop and optimize real-time face detection, verification, and recognition pipelines.
Integrate biometric authentication into HRMS & HRIS applications (attendance, KYC, employee login).
Ensure high accuracy, performance, and security in biometric verification.
Research and apply state-of-the-art computer vision techniques for face recognition.
Collaborate with backend developers to integrate APIs with enterprise HR platforms.
Conduct testing, debugging, and performance tuning for biometric modules.
Stay updated with AI, computer vision, and HR technology trends.

Required Skills & Qualifications

Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field.
Strong hands-on experience with OpenCV, Python, NumPy, Pandas, and Scikit-learn.
Proficiency in deep learning frameworks (TensorFlow, Keras, or PyTorch).
Experience with face detection, recognition, and liveness detection algorithms.
Knowledge of HRMS & HRIS systems and how biometric modules integrate.
Familiarity with REST APIs, cloud deployment (AWS, Azure, GCP).
Strong understanding of data privacy, GDPR, and biometric security standards.
Excellent problem-solving skills and ability to work in an agile team.

Preferred Skills (Good To Have)

Experience in edge AI deployment (Raspberry Pi, Jetson Nano, mobile apps).
Familiarity with Docker, Kubernetes, and CI/CD pipelines.
Knowledge of employee lifecycle management systems (HRIS/HRMS workflows).
Previous experience with enterprise-scale biometric attendance systems.

What We Offer

Opportunity to work on cutting-edge AI in HR tech.
Collaborative and innovation-driven environment.
Career growth with exposure to AI, HRMS, HRIS, and enterprise security.
Competitive salary and performance-based incentives.",https://media.licdn.com/dms/image/v2/D560BAQFlgio_qyNdJg/company-logo_100_100/B56ZsC8nG_JQAQ-/0/1765281002733/ufsnetworks_logo?e=1776297600&v=beta&t=cwNJqKgCSMnab2brwWLMDcf-FDMWk2_kWc0gXlqYuvM
AI Engineer,Taxmann,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
Job Description

About the Role

We are looking for a passionate and driven AI Engineer (Intern/Fresher/Experienced) with hands-on experience or strong academic exposure in RAG (Retrieval-Augmented Generation) approaches. You will work closely with our AI and product teams to design, prototype, and optimize intelligent solutions that integrate language models with structured/unstructured knowledge sources. This is a great opportunity to build impactful AI systems and work with modern NLP tools in real-world production environments.

Responsibilities

Design and build AI applications using RAG-based architecturesFine-tune and integrate LLMs (eg, OpenAI, LLaMA, Mistral, etc) with external data sources
Build and optimize pipelines for document ingestion, chunking, vector embedding, and retrieval
Implement and experiment with tools like LangChain, Haystack, Weaviate, Pinecone, Chroma, FAISS
Develop and maintain RESTful APIs and web applications using Python frameworks such as Flask or FastAPI
Collaborate with frontend/backend teams to integrate AI into live products
Conduct evaluations, benchmark performance, and recommend improvements
Work with team leads to convert PoCs into scalable solutions

For Experienced (2+ Years):

Proven experience in building or contributing to AI products using RAG architecture
Strong proficiency in Python for data manipulation and API development
Experience in RESTful API development using Flask or FastAPI
Solid knowledge of SQL, data analytics, and Power BI
Hands-on experience with version control (Git) and deployment tools
Exposure to cloud platforms such as AWS is a strong plus
Excellent problem-solving and communication skills

What You'll Gain

Opportunity to work on cutting-edge AI projects with real-world users
Exposure to both product delivery and research-level challenges
Mentorship from experienced AI Engineers and Product Leads
Flat team structure, creative freedom, and a learning-oriented culture

Job Type: Full-Time Internship

Location: New Delhi (Work from Office)",https://media.licdn.com/dms/image/v2/D560BAQHlrEuQG1w8uA/company-logo_100_100/B56Zy8QaZdHUAQ-/0/1772684945477/taxmann_logo?e=1776297600&v=beta&t=IlmXLLOOH5HYOrLR-ZzV2G644lZ_GpLJ8RCcmNvzvkk
Artificial Intelligence Intern,Zoo Media,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
AI Developer Intern (Pathway to Junior Developer)

Open Roles: 2 Positions

About the Role
We are looking for two curious and driven AI Developer Interns to join our engineering team at an exciting stage of building AI-powered products and internal tools.
This is not a typical internship. From day one, you will be contributing to real systems - integrating large language models, building product features, and shipping production-ready code alongside experienced engineers.

This role includes a structured progression plan, where high-performing interns can transition into a full-time Junior Developer role within 120 days.

What You’ll Work On

AI & LLM Integration
Build and iterate on prompt pipelines using APIs such as OpenAI, Anthropic Claude, and open-source models
Integrate LLM capabilities into product features such as summarisation, generation, classification, and retrieval
Experiment with RAG (Retrieval-Augmented Generation) architectures and vector databases
Evaluate model outputs and optimise prompts for quality, cost, and latency
Use modern AI-assisted development tools such as Cursor, GitHub Copilot, and Claude Code

Full-Stack Development
Contribute to a Next.js-based full-stack application
Build and maintain API routes, backend logic, and integrations
Write clean, well-tested code and participate in code reviews
Support deployment pipelines using Docker and CI/CD tooling

Who We’re Looking For

Essential
Comfortable writing JavaScript or TypeScript
Curious about AI, LLMs, and emerging developer tooling
Able to learn quickly and work independently when given direction
Comfortable using Git and collaborating in a team codebase
Strong written communication skills

Nice to Have
Experience with React or Next.js
Exposure to LLM APIs, LangChain, or LlamaIndex
Familiarity with Docker or Linux environments
Personal projects, open-source contributions, or a portfolio
Currently studying or recently graduated in Computer Science, Software Engineering, or related fields

What We Offer
A real engineering role - not a support internship
Direct mentorship from experienced engineers
Access to AI tooling, API credits, and learning resources
Opportunity to ship production-level features
Structured progression plan with the opportunity to become a Junior Developer within 60–120 days

Growth Path
This internship includes a structured 5-phase progression plan covering:
Codebase onboarding and first pull requests
Independent feature development
Ownership of modules or integrations
Production deployments
Transition to a Junior Developer role for strong performers

Progression is based on demonstrated capability, not just time.

How to Apply

Please send your resume along with a short note telling us:
What you’ve built
What you’re currently learning about AI
Why this role interests you

Include links to any GitHub repositories, projects, or portfolios you’d like us to see.

Kindly email your application to careers@zoomedia.in with the subject line “Name – AI Developer Intern.”

Applications will be reviewed on a rolling basis, and we encourage early-career developers who are passionate about AI to apply.",https://media.licdn.com/dms/image/v2/D4D0BAQHZ_P2DkI6MEQ/company-logo_100_100/company-logo_100_100/0/1666351483697/zoomedia_network_logo?e=1776297600&v=beta&t=S-P5TPTHkaH95Y3_BpK49e6aQfaHFXNF-zAZ45LRZ8A
"Data Science Intern, 2026",Data Workers,https://www.linkedin.com/jobs/search-results/,https://www.linkedin.com/jobs/search-results/,"About the job
Company 
Data Workers revolutionizes data management by automating tasks and reducing data operation times to less than five minutes. Leveraging specialized MCP servers, each agent is tailored for specific data processes, ensuring precise and efficient workflows. With seamless integration via a single command, Data Workers offers innovative solutions to simplify and expedite data operations for users across multiple domains.

Role Description
This is a remote internship role as a Data Science Intern, 2026. The intern will be responsible for conducting data analysis, assisting with data analytics projects, applying statistical techniques, and contributing to data-driven decision-making processes. Additional duties may include developing and improving data science models, supporting analytical reporting, and collaborating with team members on various data science initiatives.

Qualifications
Proficiency in Data Science, Data Analytics, and Data Analysis methods
Strong foundation in Statistics and Analytical Skills
Familiarity with programming languages and tools used for data science such as Python, R, or SQL is a plus
Excellent problem-solving and critical-thinking abilities
Effective communication skills for presenting data insights
Currently pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field",https://media.licdn.com/dms/image/v2/D4E0BAQFPFBdpaLPfKw/company-logo_100_100/B4EZ0nlh7EJUAQ-/0/1774485643823/data_workers_proj_logo?e=1776297600&v=beta&t=D-kBgwx2-mVlKFsmJuE4h4_svO6TC3-TwqTLogEEpGU