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Sr Data Scientist GenAI

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Select Minds
Full Time position
Listed on 2026-01-08
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

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 production—ensuring 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, Tensor Flow, Hugging Face 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 Lang Chain or similar frameworks.
  • Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements.

Work remote temporarily due to COVID-19.

Compensation

$ - $ per year

About Us

We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.

Work Approach

We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.

Our Philosophy

Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.

Work Policy

We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.

The Future

Select Minds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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