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Data Science AI/ML Engineer Dallas TX (Day1 onsite) Deploy and maintain knowledge ingestion pipelines and integration into API based services. Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization strategies for RAG. Experience fine tuning and deploying LLMs. Stay current on the latest GenAI trends, frameworks, and coding practices. Software Development Skills Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment. Proficiency in designing and building in cloud environments such as Azure, GCP, or AWS. Uphold quality through DevOps pipeline, unit , integration , and end to end testing.
Job Responsibility:
Deploy and maintain knowledge ingestion pipelines and integration into API based services
Stay current on the latest GenAI trends, frameworks, and coding practices
Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment
Uphold quality through DevOps pipeline, unit , integration , and end to end testing
Requirements:
5+ years of experience programming with Python
3+ years of experience in Git and version control
3+ years of experience with a public cloud
4+ years using Scikit learn
2+ years of Lang chain experience
2+ years of LLM experience building RAG systems
1+ year experience with vector databases such as MongoDB Atlas or Pinecone
Portfolio of LLM applications and sample projects
5+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful soup
2+ years of LLM experience building RAG systems at scale (10,000+ documents)
5+ years experience in DevOps with Github Actions or similar CI/CD tools
5+ years of writing and deploying microservices
3+ years of Kubernetes experience
Strong code refactoring skills
Strong debugging skills
Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content, parsing output
What we offer:
medical
vision
dental
life
disability insurance
paid time off (including holidays, parental leave, and sick leave, as required by law)