sentence-transformers How to use pfrenee/distilroberta_ai_alignment with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("pfrenee/distilroberta_ai_alignment")
sentences = [
"data modeling, predictive analytics, technical writing",
"experience in data engineeringStrong understanding of Datawarehousing conceptsProficient in Python for building UDFs and pre-processing scriptsProficient in sourcing data from APIs and cloud storage systemsProficient in SQL with analytical thought processExperience working on Airflow orchestrationMust have experience working on any of the cloud platforms - AWS would be preferredExperience with CI/CD tools in a python tech stackExperience working on Snowflake Datawarehouse would be nice to haveCompetent working in secured internal network environmentsExperience working in story and task-tracking tools for agile workflowsMotivated and Self-Starting: able to think critically about problems, decipher user preferences versus hard requirements, and effectively use online and onsite resources to find an appropriate solution with little interventionPassionate about writing clear, maintainable code that will be used and modified by others, and able to use and modify other developers’ work rather than recreate itBachelor’s Degree in related field",
"requirements and deliver innovative solutionsPerform data cleaning, preprocessing, and feature engineering to improve model performanceOptimize and fine-tune machine learning models for scalability and efficiencyEvaluate and improve existing ML algorithms, frameworks, and toolkitsStay up-to-date with the latest trends and advancements in the field of machine learning\nRequirementsBachelor's degree in Computer Science, Engineering, or a related fieldStrong knowledge of machine learning algorithms and data modeling techniquesProficiency in Python and its associated libraries such as TensorFlow, PyTorch, or scikit-learnExperience with big data technologies such as Hadoop, Spark, or Apache KafkaFamiliarity with cloud computing platforms such as AWS or Google CloudExcellent problem-solving and analytical skillsStrong communication and collaboration abilitiesAbility to work effectively in a fast-paced and dynamic environment",
"Qualifications\n\n3 to 5 years of experience in exploratory data analysisStatistics Programming, data modeling, simulation, and mathematics Hands on working experience with Python, SQL, R, Hadoop, SAS, SPSS, Scala, AWSModel lifecycle executionTechnical writingData storytelling and technical presentation skillsResearch SkillsInterpersonal SkillsModel DevelopmentCommunicationCritical ThinkingCollaborate and Build RelationshipsInitiative with sound judgementTechnical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)Problem Solving (Responds as problems and issues are identified)Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields\n\n\nDesired Qualification(s)\n\nMaster's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering\n\n\nHours: Monday - Friday, 8:00AM - 4:30PM\n\nLocations: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526\n\nAbout Us\n\nYou have goals, dreams, hobbies, and things you're passionate about—what's important to you is important to us. We're looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them—friends, family, and passions. And we're looking for team members who are passionate about our mission—making a difference in military members' and their families' lives. Together, we can make it happen. Don't take our word for it:\n\n Military Times 2022 Best for Vets Employers WayUp Top 100 Internship Programs Forbes® 2022 The Best Employers for New Grads Fortune Best Workplaces for Women Fortune 100 Best Companies to Work For® Computerworld® Best Places to Work in IT Ripplematch Campus Forward Award - Excellence in Early Career Hiring Fortune Best Place to Work for Financial and Insurance Services\n\n\n\n\nDisclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position\n\nBank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
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