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Sr Data Scientist GenAI

Sr Data Scientist GenAI

Select Minds LLCDallas, TX, US
3 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Benefits :

  • Competitive salary
  • Flexible schedule
  • Opportunity for advancement

Sr Data Scientist (NLP / LLM / Generative AI)

Location : Dallas, TX

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.

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    Sr Data Scientist • Dallas, TX, US