Data Science with Gen AI

Overview

On Site
Contract - W2
Contract - long-term

Skills

Data Science
Gen Ai

Job Details

Job Title: Generative AI Engineer

Location: Fort Worth , Texas

Domain: Transportation

Duration: Long Term Contract

Looking for W2 Candidates. No C2C

Responsibilities:

  • Architect, develop, and optimize generative AI models including large language models (LLMs) for diverse enterprise use cases.

  • Research and prototype advanced generative AI techniques (e.g., transformers, diffusion models, RAG, LoRA).

  • Collaborate with data scientists, MLOps teams, and product stakeholders to align generative AI initiatives with business objectives.

  • Implement fine-tuning, prompt engineering, and model distillation techniques for performance optimization.

  • Integrate generative models into real-time applications and large-scale production pipelines.

  • Drive the evaluation of open-source and commercial LLMs for cost, performance, and compliance.

  • Create reusable components and APIs for LLM access, tool use, agentic orchestration, and generative tasks.

  • Ensure fairness, interpretability, and safety across all deployed GenAI applications.

Qualifications:

  • 10 years of experience in AI/ML; 3+ years in building generative AI systems.

  • Hands-on experience with Hugging Face Transformers, LangChain, OpenAI APIs, and vector DBs like Pinecone or FAISS.

  • Strong Python programming, including experience with PyTorch or TensorFlow.

  • Solid understanding of agentic frameworks (CrewAI, LangGraph) and orchestration tools.

  • Prior deployment experience on cloud platforms such as Azure, AWS, or Google Cloud Platform.

  • Knowledge of containerization (Docker, Kubernetes) and model lifecycle management (MLflow, Weights & Biases).

  • Familiarity with responsible AI, prompt injection mitigation, and safe model usage principles.

Thanks& Regards,

siri@techniproscom.

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