Sr Data Scientist GenAI
hace 4 meses
Dallas
Job DescriptionBenefits: • Competitive salary, • Flexible schedule Roles & Responsibilities : • Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts., • Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation)., • Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to productionensuring reliability, scalability, monitoring, and maintainability., • Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection., • Optimize models and pipelines for performance, cost, and efficiency., • Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use., • Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning., • Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt. Must-Have Qualifications: • 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI., • Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc., • Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering., • Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases., • Experience working in production / deploying models (batch and streaming), working with MLOps practices., • Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty., • Good communicator: able to translate complex technical detail to business / non-technical stakeholders. Nice to Have: • Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field., • Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems., • Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks., • Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements. Work remote temporarily due to COVID-19.