Sr Data Scientist GenAI
Listed on 2026-01-08
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Benefits
- Competitive salary
- Flexible schedule
- Opportunity for advancement
Sr Data Scientist (NLP / LLM / Generative AI)
LocationDallas, 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.
- 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.
- 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 UsWe 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 ApproachWe 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 PhilosophyOur 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 PolicyWe 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 FutureSelect 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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