EnchantedRainfall/confitv2-augmented
Viewer • Updated • 6.46k • 8
How to use EnchantedRainfall/confit-v2-augmented with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("EnchantedRainfall/confit-v2-augmented")
sentences = [
"Do you know modern web stacks from soup to nuts? Have opinions about clean URLs and dirty objects in ORMs? We want to talk to you!\r\nOur client's mission is to build great advertising software. Product is an easy-to-use, massive scale and high availability advertising platform founded by industry veterans who worked together at Google. It's offer customers the most extensible and transparent advertising system in the world and process billions of transactions per second. \r\n\r\n**We are looking for a Web Engineer - Backend with in-depth working knowledge of the Django framework to join our growing team.**\r\n\r\nTech stack is always evolving to meet the challenges of the massive scale of transactions on which we operate. To manage the firehose of data coming in, we explore complex tradeoffs and carefully architect high performance distributed systems. Those in turn require elegant and thoughtfully designed interfaces to make the systems accessible to both our team and our customers.\r\n\r\n**What You'll Be Doing:**\r\nYou'll take part in architectural changes as we scale to improve engineering velocity\r\nBe the \"Go-to\" for all things Django, we hire tech agnostic so having a resident expert in this framework is essential to the success of the team going forward. \r\nWork on our public REST API that supports both our customers and our own JS UI\r\nDo fun tasks like reviewing code, writing design docs and closing JIRA tickets))\r\n\r\n**Who You Are:**\r\n3+ years of Python Development experience, good communicative skills (in English)\r\nExperience with building and operating a modern REST API (ie. Swagger, monitoring, rate limiting, authentication, etc.)\r\nA solid understanding of relational databases (we use Amazon Aurora MySQL)\r\nA solid understanding of modern operational processes and concerns for web applications (deployment, provisioning, monitoring)\r\nA solid understanding of Django Rest Framework\r\nA strong grasp of software architecture (from classes or self-learning)\r\nAn appreciation (or tolerance of) bee puns\r\n\r\nMORE ABOUT the Customer:\r\nCompany was founded in 2014 and since then they’ve raised $28M in funding from leading VCs including RRE and Foundry Group and have grown rapidly.\n\n TARGET_ROLE: Senior Back-End Enginner with Django expertise | EXP_REQ: 5\nDOMAIN: AdTech\nREQUIRED_ENTITIES: Python, Django, Django Rest Framework, Amazon Aurora, MySQL, Swagger, JIRA, Docker\nPREFERRED_ENTITIES: JavaScript, SQL, Bash\nWORKFLOW: Agile, Scrum, TDD, CI/CD",
"================================================================================\nJUNIOR BACK-END SOFTWARE DEVELOPER\nSeniority: Junior | Total Experience: 1 Years\nDomain Expertise: Enterprise Spend Management Platforms\n================================================================================\n\nPROFESSIONAL SUMMARY\n--------------------------------------------------------------------------------\nHighly structured and results-oriented Junior Back-end Software Developer with 1 years of professional experience operating within the Enterprise Spend Management Platforms sector. Proven capability in navigating complex requirements and leveraging industry-standard methodologies to deliver robust, scalable solutions.\n\nTECHNICAL SKILLS & COMPETENCIES\n--------------------------------------------------------------------------------\n* Core Technologies : Ruby, Ruby on Rails\n* Tools & Frameworks : MySQL, Redis, Resque, Docker, AWS EC2, Heroku\n\nPROFESSIONAL EXPERIENCE\n--------------------------------------------------------------------------------\nROLE : JUNIOR SOFTWARE DEVELOPER\nTENURE : 1 Years\n\nI supported the backend team in maintaining the core modules of a cloud-based financial tracking platform. My daily tasks involved participating in code reviews as an observer and performing minor bug fixes under direct supervision. I focused on learning the existing codebase and understanding the CI/CD workflows established by the senior staff.\n\nKey Responsibilities & Achievements:\n - Assisted senior engineers in monitoring Resque queue processing for high-throughput data jobs.\n - Shadowed the DevOps team during the migration of micro-services to Docker containers on AWS EC2.\n - Wrote unit tests for existing MySQL database queries to assist in minor performance bug fixes.\n - Updated documentation for CI/CD pipeline triggers under the guidance of lead developers.\n\nADDITIONAL PROFILE INFORMATION\n--------------------------------------------------------------------------------\n* Previous Experience : Barista at a local coffee shop\n* Certifications : PADI Scuba Diving Certification\n================================================================================",
"SENIOR JAVA BACKEND ENGINNER // Senior // 7y exp========================================================================\n\n## STACK\nlang :: Java | Spring | Hibernatetools :: RESTful services | VPCs | Oracle Data Integrator | Kafkaextra :: Python | SQLmethods :: Agile | Scrum | TDDdomain :: Fintech Distributed Systems\n\n## XP\n[1] Senior Backend Enginner — 4yr\n > Architected high-throughput message processing pipelines using Spring and Hibernate to optimize transaction flow.\n > Integrated external financial gateway APIs through secure VPC tunnels, ensuring 99.9% system reliability.\n > Managed complex ETL data mappings with ODI to syncronize legacy database records into our cloud-based backend.\n > Implemented multi-threaded concurrent processing modules that reduced latency for RESTful service endpoints by 40%.\n[2] Java Developer — 3yr\n > Developed custom RESTful APIs to facilitate seamless data exchange between banking microservices.\n > Utilized Hibernate to streamline persistence layers for large-scale financial reporting applications.\n > Automated recurring data ingestion tasks via ODI workflows, significantly decreasing manual intervention requirements.\n========================================================================\n",
"================================================================================\nEDUTECH SALES CONSULTANT & CUSTOMER SUCCESS SPECIALIST\nSeniority: Mid-Level | Total Experience: 5 Years\nDomain Expertise: EdTech and Childrens Educational Services\n================================================================================\n\nPROFESSIONAL SUMMARY\n--------------------------------------------------------------------------------\nAccomplished EduTech Sales Consultant & Customer Success Specialist specializing in EdTech and Childrens Educational Services with over 5 years of progressive experience. Adept at bridging technical and business requirements to drive critical projects from conception to successful deployment.\n\nTECHNICAL SKILLS & COMPETENCIES\n--------------------------------------------------------------------------------\n* Core Technologies : CRM Platforms, Sales Engagement Tools, Communication Software\n\nPROFESSIONAL EXPERIENCE\n--------------------------------------------------------------------------------\nROLE : CUSTOMER SUCCESS & SALES REPRESENTATIVE\nTENURE : 3 Years\n\nI thrived in a fast-paced environment where I had to balance individual client needs with organizational revenue targets. My daily tasks included presenting complex educational concepts in an accessible way to parents and children. I am truly passionite about finding solutions that help students grow through technology.\n\nKey Responsibilities & Achievements:\n - Orchestrated high-volume outbound calling campaigns that increased conversion rates by 22% using Salesforce.\n - Facilitated interactive demos and in-person workshops for parents, effectively demonstrating the value of digital learning modules.\n - Managed a database of over 500 active leads, ensuring timely follow-ups and precise record keeping in the CRM system.\n - Built lasting rapport with families, resulting in a 15% improvement in long-term customer retention rates.\n\nROLE : JUNIOR ACCOUNT EXECUTIVE\nTENURE : 2 Years\n\nEarly in my carreer I focused on building the foundashon for effective communication strategies within the IT sector. I learned how to identify client pain points and present our technical educational products as the primary solution. This role solidified my ability to work independently while meeting strict dead-lines.\n\nKey Responsibilities & Achievements:\n - Spearheaded lead generation efforts by attending local community events to connect with prospective educational partners.\n - Maintained meticulous documentation of every customer interaction within HubSpot to ensure seamless team handovers.\n - Achieved 110% of quarterly sales goals by employing a personalized, trust-based approach with new accounts.\n\nADDITIONAL PROFILE INFORMATION\n--------------------------------------------------------------------------------\n* Previous Experience : Summer Camp Counselor\n* Certifications : CPR Certified, Advanced Lifesaving Badge\n* Personal Interests : Child Development Workshops, Community Volunteering, Public Speaking\n================================================================================",
"\nCANDIDATE MATRIX DOSSIER\n============================================================\nHeadline Title : Agile Scrum Master (AdTech Solutions)\nSeniority Level : SeniorTotal Years of Exp. : 5Domain Expertise : AdTech and High-Traffic Transaction Systems\n\nPRIMARY COMPETENCIES\n------------------------------------------------------------\n- Python\n- Django\n- Django Rest Framework\n- Amazon Aurora\n- MySQL\n- Swagger\n- JIRA\n- Docker\n\nSECONDARY COMPETENCIES\n------------------------------------------------------------\n- JavaScript\n- SQL\n- Bash\n- Agile\n- Scrum\n- TDD\n- Code Review\n\nWORK HISTORY MATRIX\n============================================================\nROLE 1: Agile Scrum Master\nYears in Role: 3\n\nAchievement Set:\n • Điều phối các sprint Agile cho đội ngũ kỹ sư phát triển Django Rest Framework nhằm tối ưu hóa quy trình phân phối sản phẩm.\n • Quản lý lịch trình dự án cho việc chuyển đổi hệ thống cơ sở dữ liệu sang Amazon Aurora và MySQL để đảm bảo tiến độ.\n • Hỗ trợ đội ngũ kỹ thuật trong việc lập kế hoạch sử dụng Swagger để định nghĩa giao diện API mà không cần trực tiếp viết mã.\n • Theo dõi các chỉ số hiệu suất của team thông qua JIRA, đảm bảo các tài liệu thiết kế được hoàn thành đúng hạn.\n\n------------------------------------------------------------\nROLE 2: IT Project Manager\nYears in Role: 2\n\nAchievement Set:\n • Giám sát dự án triển khai các microservices Python, theo dõi tiến độ tích hợp Django Rest Framework của các lập trình viên.\n • Phối hợp với đội vận hành để thiết lập quy trình triển khai Docker và giám sát môi trường staging cho ứng dụng web.\n • Đảm bảo các quy định về xác thực và giới hạn lưu lượng truy cập (rate limiting) được tuân thủ nghiêm ngặt trong tài liệu đặc tả dự án.\n\n------------------------------------------------------------\n\nADDITIONAL PROFILE ELEMENTS\n============================================================\nInterests & Hobbies:\n- Hiking\n- Bee keeping\n- Photography\n\nPrior Employment History:\n- Bartender\n\nOther Certifications:\n- Scuba Diving Certification\n- CPR Certified\n\nEND OF MATRIX\n============================================================",
"================================================================================\nSENIOR .NET SOFTWARE ENGINNER\nSeniority: Senior | Total Experience: 7 Years\nDomain Expertise: Environmental, Health, Safety and Crisis Management Software\n================================================================================\n\nPROFESSIONAL SUMMARY\n--------------------------------------------------------------------------------\nDynamic Senior .NET Software Enginner bringing 7+ years of hands-on expertise in the Environmental, Health, Safety and Crisis Management Software industry. Track record of designing and deploying high-efficiency solutions, demonstrating deep proficiency across modern technical stacks and agile environments.\n\nTECHNICAL SKILLS & COMPETENCIES\n--------------------------------------------------------------------------------\n* Core Technologies : C#, ASP.NET, Web API 2, WCF\n* Tools & Frameworks : Microsoft SQL Server, Oracle, nHibernate, Visual Studio, Team Foundation Server, IIS, Entity Framework\n\nPROFESSIONAL EXPERIENCE\n--------------------------------------------------------------------------------\nROLE : SENIOR SOFTWARE DEVELOPER\nTENURE : 4 Years\n\nI lead the development of safety-critical modules for a large ISV firm. My work involved deep integration with complex SQL Server databases to support global crisis response teams. I ensured that all code remained maintainable and scalable within our integrated .NET architecture.\n\nKey Responsibilities & Achievements:\n - Architected enterprise-level modules for crisis management platforms using C# and ASP.NET, ensuring robust data handling across high-availability environments.\n - Refactored legacy codebases to improve performance by 20% while maintaining strict compatibility with nHibernate and Oracle database schemas.\n - Collaborated with product managers in a Scrum environment to translate complex safety requirements into reliable, unit-tested features.\n - Managed deployments to Windows Server and IIS, conducting thorough code reviews to maintain quality standards across distributed teams.\n\nROLE : SOFTWARE DEVELOPER\nTENURE : 3 Years\n\nIn this role, I focused on the implementation of backend services and frontend interfaces for mission-critical environmental software. I worked closely with QA teams to deliver high-quality solutions while adhering to tight deadlines. My efforts helped automate data reporting features for our clients.\n\nKey Responsibilities & Achievements:\n - Built dynamic web components using Javascript and jQuery to enhance the user experience of enterprise safety dashboards.\n - Implemented RESTful services via Web API 2 to facilitate seamless data exchange between internal systems and third-party safety databases.\n - Developed and maintained complex WCF services to support core application functions for external stakeholders in the health sector.\n - Executed comprehensive unit tests using Visual Studio tools to guarantee high code coverage and reduce regression issues during release cycles.\n\nADDITIONAL PROFILE INFORMATION\n--------------------------------------------------------------------------------\n* Previous Experience : Warehouse Associate\n* Certifications : CPR Certified, PADI Scuba Diving License\n* Personal Interests : Mountain Hiking, Chess, Reading Historical Fiction\n================================================================================",
"\nCONFIDENTIAL CANDIDATE DOSSIER\n====================================================================\nREPRESENTED BY: Executive Search Partners\nROLE TARGET: Senior Back-end Enginner (Django Specialist)\nEXPERIENCE LEVEL: Senior (5 YOE)DOMAIN ALIGNMENT: AdTech and High-Traffic Transaction Systems\n====================================================================\n\n>>> EXECUTIVE SUMMARY\nWe are pleased to present this exceptional profile. The candidate brings a proven 5-year track record in the AdTech and High-Traffic Transaction Systems sector. Their primary core expertise is anchored in Python, Django, Django Rest Framework, which is heavily supported by operational expertise using Amazon Aurora, MySQL, Swagger, JIRA, Docker. They are highly self-sufficient in their work, supplemented by proficiencies in JavaScript and SQL and Bash. Culturally, they thrive in Agile/Scrum/TDD/Code Review environments and consistently drive measurable technical outcomes.\n>>> TECHNICAL SNAPSHOT\n[+] Core Competencies : Python | Django | Django Rest Framework[+] Delivery & CI/CD : Amazon Aurora | MySQL | Swagger | JIRA | Docker[+] Aux. Languages : JavaScript | SQL | Bash[+] Agile/Workflow : Agile | Scrum | TDD | Code Review\n>>> ENGAGEMENT HISTORY\n--------------------------------------------------------------------\n1. EMPLOYER: \n TITLE: Senior Back-end Developer\n TENURE: 3 years\n\n Key Deliverables & Impact:\n • Architected and maintained highly-available RESTful interfaces utilizing Django Rest Framework for a platform processing high-volume traffic.\n • Optimized complex database queries within Amazon Aurora MySQL to significantly reduce latency during peak transaction periods.\n • Led the migration of legacy service modules to modern infrastructure, improving overall system deployment velocity and reliability.\n • Authored comprehensive design documentation and performed rigorous peer code reviews to ensure maintainable software standards.\n--------------------------------------------------------------------\n2. EMPLOYER: \n TITLE: Software Engineer\n TENURE: 2 years\n\n Key Deliverables & Impact:\n • Developed robust API endpoints using Python and Django to facilitate seamless communication between front-end UI and core business services.\n • Implemented secure authentication and rate-limiting protocols for public-facing REST services to protect against unauthorized access.\n • Collaborated in an Agile environment, actively participating in sprint planning and resolving complex JIRA issues to meet strict deadlines.\n\n\n====================================================================\nCONSULTANT'S NOTE: \nThis candidate is an outstanding technical and cultural match for roles requiring deep senior-level expertise in Python and AdTech and High-Traffic Transaction Systems. We highly recommend advancing to a technical interview."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [7, 7]This is a sentence-transformers model finetuned from BAAI/bge-m3 on the confitv2-augmented dataset. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
SentenceTransformer(
(0): Transformer({'max_seq_length': 1024, 'do_lower_case': False, 'architecture': 'XLMRobertaModel'})
(1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("EnchantedRainfall/confit-v2-augmented")
# Run inference
sentences = [
'**PROJECT**\r\nWe are working on different solutions for all areas of activities, like sales, marketing, logistic with focus on commercial function.\r\nGroup of our enterprise BI systems has common architecture and goals.\r\n**Scope:**\r\n- Leverage data from multiple sources (SAP, DB’s, flat files, Data lake stores etc..)\r\n- Data manipulation for analytics purposes\r\n- Data exploration and discovery techniques\r\n- Machine learning techniques\r\n- Building AutoML framework for internal use in various use cases.\r\n- Data visualization of ML output.\r\n\r\n**YOU ARE**\r\nIf you are keen to work for one of the most dynamic and interesting companies in the world, to have challenge on regular basis and to visit our great locations around the globe – come and join us! \r\n\r\n**Perfect-fit candidate must have:**\r\n- Solid experience in data exploration and analysis, ML algorithms, feature engineering, design and building ML models, AutoML concepts, ML model performance metrics.\r\n- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Classification, Clustering, Random Forest, Boosting, Trees, Text mining, etc.\r\n- Strong knowledge in Python (TenserFlow, Pandas, NumPy, Keras, etc), Docker, R, T-SQL, 2+ years of practical experience.\r\n- Hands on experience with productionalizing ML models.\r\n- Hands on experience of cloud platforms, especially Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform(GCP)\r\n- Experience visualizing/presenting data for stakeholders\r\n\r\n**Will be a plus:**\r\n- Experience with AutoML tools such as the DataRobot;\r\n- Development experience in Azure Databricks Notebooks or Jupyter notebook.\r\n- Knowledge of Agile/Scrum.\r\n\r\n**TOGETHER WE WILL HAVE**\r\n- Interesting environment with ability to communicate with people around the Globe;\r\n- Great opportunity for self-development;\r\n- Variety of interesting and challenging tasks;\r\n- Friendly team with whom you can share fresh news and knowledge; \r\n- Flexible working schedule.\n\n TARGET_ROLE: Senior Data Scientist & ML Enginner | EXP_REQ: 6\nDOMAIN: Enterprise Business Intelligence and Commercial Analytics\nREQUIRED_ENTITIES: Python, R, TensorFlow, Pandas, NumPy, Keras, Docker, T-SQL, Azure Databricks\nPREFERRED_ENTITIES: DataRobot, Jupyter\nWORKFLOW: Agile, Scrum',
'================================================================================\nSENIOR DATA SCIENCE ENGINNER\nSeniority: Senior | Total Experience: 5 Years\nDomain Expertise: Commercial Enterprise BI and Analytics\n================================================================================\n\nPROFESSIONAL SUMMARY\n--------------------------------------------------------------------------------\nHighly structured and results-oriented Senior Data Science Enginner with 5 years of professional experience operating within the Commercial Enterprise BI and Analytics sector. Proven capability in navigating complex requirements and leveraging industry-standard methodologies to deliver robust, scalable solutions.\n\nTECHNICAL SKILLS & COMPETENCIES\n--------------------------------------------------------------------------------\n* Core Technologies : Python, R, T-SQL\n* Tools & Frameworks : TensorFlow, Pandas, NumPy, Keras, Docker, Microsoft Azure, AWS, GCP, Azure Databricks\n* Scripting & Secondary : Bash, PowerShell\n* Methodologies : Agile, Scrum, Test-Driven Development\n\nPROFESSIONAL EXPERIENCE\n--------------------------------------------------------------------------------\nROLE : LEAD MACHINE LEARNING SPECIALSIT\nTENURE : 3 Years\n\n\nKey Responsibilities & Achievements:\n - Architected an automated pipeline for model selection using DataRobot, cutting deployment cycles by 40% for sales forecasting.\n - Engineered predictive classification models with Random Forest and Gradient Boosting to identify high-value customer segments.\n - Deployed containerized ML services on Azure Kubernetes Service, ensuring high availability of real-time scoring endpoints.\n - Visualized complex performance metrics in PowerBI to assist stakeholders in making data-driven commercial decisions.\n\nROLE : DATA SCIENTIST\nTENURE : 2 Years\n\n\nKey Responsibilities & Achievements:\n - Executed exploratory analysis on multi-source flat files using Python and Pandas to reveal hidden operational inefficiencies.\n - Built custom regression models in Jupyter environments to improve supply chain accuracy by 15%.\n - Streamlined database queries using T-SQL to extract features for model training, significantly reducing memory overhead.\n - Presented findings from clustering analysis to the executive board to guide regional logistic expansion.\n\n================================================================================',
'\nSENIOR R / SAS DATA SCIENTIST\nSenior Professional━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nABOUT ME\n────────────────────────────────────────────────────────────\nI am a Senior Senior R / SAS Data Scientist specialising in Commercial Enterprise BI Systems.\nMy core stack centres on R, SAS, and I\ncomplement that depth with working proficiency in\nJulia, SQL. \nSKILLS & TOOLING\n────────────────────────────────────────────────────────────\nMy day-to-day toolkit spans SAS Enterprise Guide, T-SQL, Azure Databricks, Docker.I also reach for Julia and SQL\nwhenever the problem calls for lighter scripting or automation.\n\nPROFESSIONAL EXPERIENCE\n────────────────────────────────────────────────────────────\nSENIOR DATA SCIENTIST (4 years)\nLed the advanced analytics team in developing robust statistical solutions for global commercial operations. Responsible for migrating legacy data processes into efficient, automated pipelines within the SAS ecosystem. Collaborated extensively with cross-functional stakeholders to translate complex ML model outputs into actionable business intelligence. · · · · · · · · · · · · · · · · · · · ·\nDATA ANALYST (2 years)\n • Developed comprehensive reporting dashboards using R and SQL for marketing optimization efforts.\n • Performed deep-dive exploratory data analysis on multi-source SAP data using SAS statistical procedures.\n • Collaborated with IT teams to containerize legacy SAS models using Docker for improved consistency.\n\nPERSONAL INTERESTS\n────────────────────────────────────────────────────────────\nAway from the keyboard I enjoy Marathon Running, Classical Guitar, Chess and more.I believe a curious life outside work fuels creativity inside it.\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.7619, 0.5607],
# [0.7619, 1.0000, 0.6091],
# [0.5607, 0.6091, 1.0000]])
anchor, positive, negative_1, negative_2, negative_3, negative_4, and negative_5| anchor | positive | negative_1 | negative_2 | negative_3 | negative_4 | negative_5 | |
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| type | string | string | string | string | string | string | string |
| details |
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!!!Accommodation in Vinnytsia or relocate!!! |
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Experienced in DevOps engineering, with software development orientation (+3 years). |
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Has familiarity with a broad portfolio of AWS infrastructure tools (EKS, RDS, S3, EC2) and experience with cloud infrastructure as Code (IoC) technologies (Cloudformation / Terraform / Pulumi) |
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Has knowledge of CI/CD methodologies and tools such as Jenkins, GitHub Actions, CircleCI or similar. |
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Knowledge of programming languages such as Python or Java, and writing code according to common design patterns - as an advantage. |
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Is committed to high standards, clean code, and test-driven development. |
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More specifically, what will you be doing? |
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Develop tooling to orchestrate and provision Skai’s production services on the public cloud. |
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Create and improve dev productivity tools to help streamline the R&D day-to-day work. |
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Enhance Skai’s Infrastructure as Code self-service offering to R&D and platform teams. |
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Work to modernize Skai’s components, automate an... |
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# About us |
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Telemedicine is transforming the delivery of Healthcare globally and was a booming sector even before the Coronavirus made it an essential service. Minxli provides Telemedicine software to Doctors and Healthcare providers in Germany, enabling them to deliver their service remotely. This provides greater convenience for all and a more cost-effective scenario for Doctors. |
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Our mission is to use design and technology to streamline the process of accessing and providing high-quality medical treatment. There has been an alarming decline in access to doctors in recent years and new doctors are demanding more flexibility in their working practices. The old ways of doing things are not providing doctors or patients with the experience they want. An opportunity has arisen for system-wide disruption, and Minxli is leading the way in providing the solution with our mobile and web apps. |
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We are looking for a passionate and talented Product Designer with a st... |
PRODUCT DESIGNER CHUYEN VE HEALTHCARE UI/UX // Mid-Level // 3y exp======================================================================== |
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3D MOBILE VISUALIZATION ENGINNER // None // experienced======================================================================== |
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SENIOR PHP ENGINNER // Senior // 7y exp======================================================================== |
SR SOFTWARE ENGINNER - BACKEND & INDUSTRIAL AUTOMATION // Senior // 7y exp======================================================================== |
# Key Responsibilities |
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- Take full responsibility for iOS apps development in the company (development, releases, app store compliance, adherence to best practices and recommendations) |
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- Build and maintain native iOS apps with impact on millions of users worldwide |
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- Design, build, and maintain high performance, reusable, and reliable Swift code |
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- Actively participate in scrum meetings, plannings, release processes |
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- Create and maintain documentation in English |
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# Requirements |
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- 3+ years of experience as an iOS Developer (Swift) |
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- Solid background in OOP, POP and popular architecture patterns |
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- Experience with AppStore billing, popular 3rd party libraries and SDK’s |
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- Experience with implementing interconnections (HTTP/S, REST, JSON, WebSocket) |
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- Ability to take a project from outlining requirements to the launch |
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# 1st-month objectives |
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1) Learn current iOS products codebase |
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2) Identify and cover knowledge gaps |
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3) Update libraries, SDK’s and start implementing new f... |
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CachedMultipleNegativesRankingLoss with these parameters:{
"scale": 20,
"similarity_fct": "cos_sim",
"mini_batch_size": 4,
"gather_across_devices": false,
"directions": [
"query_to_doc"
],
"partition_mode": "joint",
"hardness_mode": null,
"hardness_strength": 0.0
}
anchor, positive, negative_1, negative_2, negative_3, negative_4, and negative_5| anchor | positive | negative_1 | negative_2 | negative_3 | negative_4 | negative_5 | |
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| type | string | string | string | string | string | string | string |
| details |
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| anchor | positive | negative_1 | negative_2 | negative_3 | negative_4 | negative_5 |
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Requirements: |
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● 4+ years of technology-related, staffing-related sales or business development experience; |
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● Fluent/Advanced level of written and spoken English; |
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● Exceptional communicator and negotiator; |
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● Deep understanding of b2b sales cycle and decision making process; |
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● Experience in identifying, developing, negotiating, and closing staff augmentations deals; ● Experience in proactively growing customer relationships while expanding their understanding of the customer’s business; |
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● Fluent in working with various CRM systems; |
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● Result-oriented and focused on continuous improvement and optimization; |
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● Collaborative nature and getting-things-done approach. |
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Our ideal candidate can succsesfully manage all the stages of client relati... |
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## Who we are looking for: |
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- Passion for digital advertising; |
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- Entrepreneurial Mindset; |
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- 1-3 years of marketing experience in the tech world; |
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- Sufficient understanding of lead generation process; |
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- Sufficient understanding of main marketing metrics; |
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- Sufficient knowledge of product marketing management; |
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- Understanding of startup world and rules there; |
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- Solid knowledge of Google Analytics / Google Adwords / GTM/ Facebook ads/ Snapchat Ads/ Tiktok ads; |
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- Sufficient understanding of SEO concepts; |
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- Basic understanding of UI/UX concepts; |
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- Strong analytical skills and ability to make data-driven decisions; |
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- Strong eye for all things creative (creative management, A/B testing etc); |
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- Self-motivating and self-starting: proven track record in personal initiatives; |
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- Creative thinking and experience in close cooperation with product and design teams; |
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- Strong written English B2+; |
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## Good to have: |
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- Experience in working with tech startups from the USA |
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- We’ll tea... |
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CHUYÊN GIA MARKETING TĂNG TRƯỞNG (HỆ SINH THÁI META/GOOGLE) // None // experienced======================================================================== |
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BACK-END NODE.JS ENGINNER // Mid-Level // 3y exp======================================================================== |
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(Our customer) is a conglomerate of fintech applications providing integrated financial solutions for global investors, regardless of experience or location. By harnessing the power of crowdsourcing and blockchain technology, Sprinkle Group’s vision is to become the new standard within capital markets. |
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О проекте |
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SprinkleXchange www.sprinklexchange.com |
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SprinkleXchange is the world’s first borderless exchange, offering cross-asset investments in growth companies and cryptocurrencies. |
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Обязанности |
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• Development of the new features along with bug fixing and supporting existing software; |
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• Participate in peer design and code reviews; |
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• Proactively collaborate with teammates and communicate with remote team members; |
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• Build robust and scalable micro-services; |
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• Work in a full Agile collaborative environment — including meetings, iterative development, estimations, and design sessions; |
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• Collaborate with Product management to estimate and plan work, provide status upd... |
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CachedMultipleNegativesRankingLoss with these parameters:{
"scale": 20,
"similarity_fct": "cos_sim",
"mini_batch_size": 4,
"gather_across_devices": false,
"directions": [
"query_to_doc"
],
"partition_mode": "joint",
"hardness_mode": null,
"hardness_strength": 0.0
}
per_device_train_batch_size: 32num_train_epochs: 1learning_rate: 1e-05lr_scheduler_type: cosinewarmup_steps: 0.15weight_decay: 0.01gradient_accumulation_steps: 8bf16: Truelogging_nan_inf_filter: Falseper_device_eval_batch_size: 32batch_sampler: no_duplicatesper_device_train_batch_size: 32num_train_epochs: 1max_steps: -1learning_rate: 1e-05lr_scheduler_type: cosinelr_scheduler_kwargs: Nonewarmup_steps: 0.15optim: adamw_torch_fusedoptim_args: Noneweight_decay: 0.01adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08optim_target_modules: Nonegradient_accumulation_steps: 8average_tokens_across_devices: Truemax_grad_norm: 1.0label_smoothing_factor: 0.0bf16: Truefp16: Falsebf16_full_eval: Falsefp16_full_eval: Falsetf32: Nonegradient_checkpointing: Falsegradient_checkpointing_kwargs: Nonetorch_compile: Falsetorch_compile_backend: Nonetorch_compile_mode: Noneuse_liger_kernel: Falseliger_kernel_config: Noneuse_cache: Falseneftune_noise_alpha: Nonetorch_empty_cache_steps: Noneauto_find_batch_size: Falselog_on_each_node: Truelogging_nan_inf_filter: Falseinclude_num_input_tokens_seen: nolog_level: passivelog_level_replica: warningdisable_tqdm: Falseproject: huggingfacetrackio_space_id: trackioeval_strategy: noper_device_eval_batch_size: 32prediction_loss_only: Trueeval_on_start: Falseeval_do_concat_batches: Trueeval_use_gather_object: Falseeval_accumulation_steps: Noneinclude_for_metrics: []batch_eval_metrics: Falsesave_only_model: Falsesave_on_each_node: Falseenable_jit_checkpoint: Falsepush_to_hub: Falsehub_private_repo: Nonehub_model_id: Nonehub_strategy: every_savehub_always_push: Falsehub_revision: Noneload_best_model_at_end: Falseignore_data_skip: Falserestore_callback_states_from_checkpoint: Falsefull_determinism: Falseseed: 42data_seed: Noneuse_cpu: Falseaccelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}parallelism_config: Nonedataloader_drop_last: Falsedataloader_num_workers: 0dataloader_pin_memory: Truedataloader_persistent_workers: Falsedataloader_prefetch_factor: Noneremove_unused_columns: Truelabel_names: Nonetrain_sampling_strategy: randomlength_column_name: lengthddp_find_unused_parameters: Noneddp_bucket_cap_mb: Noneddp_broadcast_buffers: Falseddp_backend: Noneddp_timeout: 1800fsdp: []fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}deepspeed: Nonedebug: []skip_memory_metrics: Truedo_predict: Falseresume_from_checkpoint: Nonewarmup_ratio: Nonelocal_rank: -1prompts: Nonebatch_sampler: no_duplicatesmulti_dataset_batch_sampler: proportionalrouter_mapping: {}learning_rate_mapping: {}| Epoch | Step | Training Loss |
|---|---|---|
| 0.2469 | 5 | 2.0542 |
| 0.4938 | 10 | 0.6505 |
| 0.7407 | 15 | 0.3528 |
| 0.9877 | 20 | 0.2872 |
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
@misc{gao2021scaling,
title={Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup},
author={Luyu Gao and Yunyi Zhang and Jiawei Han and Jamie Callan},
year={2021},
eprint={2101.06983},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
Base model
BAAI/bge-m3