Tata Consultancy Services
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Generative AI Engineer
role at
Tata Consultancy Services
Job Description
Programming: Expert-level proficiency in Python.
ML Frameworks: Extensive experience with PyTorch (strongly preferred) and/or TensorFlow.
LLMs & NLP: Hands‑on experience with Large Language Models (e.g., OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, or custom models) and a deep understanding of NLP concepts such as tokenization, embeddings, and attention mechanisms.
Cloud & MLOps: Proven experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools (Docker, Kubernetes, MLflow, Weights & Biases, TFX).
Problem‑Solving: Strong analytical and problem‑solving skills with the ability to iterate quickly from experimentation to production‑ready solutions.
Design & Development: Architect, train, fine‑tune, and optimize large generative models (e.g., LLMs like GPT, diffusion models like Stable Diffusion, VAEs, GANs) for specific use cases.
End‑to‑End Pipeline Ownership: Build robust, scalable data pipelines for pre‑processing and curating massive training datasets.
Model Deployment & MLOps: Implement and manage MLOps practices to deploy models into production, ensuring scalability, low latency, and high reliability (containerization, API development, CI/CD).
Performance Optimization: Apply advanced techniques such as Retrieval‑Augmented Generation (RAG), fine‑tuning, quantization, and distillation to improve model efficiency, accuracy, and cost‑effectiveness.
Research & Innovation: Stay current with the latest academic research and open‑source advancements in generative AI; prototype new ideas and conduct experiments to validate feasibility and impact.
Collaboration: Work closely with product managers, data scientists, and software engineers to integrate generative AI capabilities into products and platforms.
Qualifications
Bachelor of Computer Science (minimum).
Benefits
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Employment Details
Seniority level: Entry level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industry: IT Services and IT Consulting
Base Salary Range: $90,000 – $140,000 per annum Location: Warren, MI
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Generative AI Engineer
role at
Tata Consultancy Services
Job Description
Programming: Expert-level proficiency in Python.
ML Frameworks: Extensive experience with PyTorch (strongly preferred) and/or TensorFlow.
LLMs & NLP: Hands‑on experience with Large Language Models (e.g., OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, or custom models) and a deep understanding of NLP concepts such as tokenization, embeddings, and attention mechanisms.
Cloud & MLOps: Proven experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools (Docker, Kubernetes, MLflow, Weights & Biases, TFX).
Problem‑Solving: Strong analytical and problem‑solving skills with the ability to iterate quickly from experimentation to production‑ready solutions.
Design & Development: Architect, train, fine‑tune, and optimize large generative models (e.g., LLMs like GPT, diffusion models like Stable Diffusion, VAEs, GANs) for specific use cases.
End‑to‑End Pipeline Ownership: Build robust, scalable data pipelines for pre‑processing and curating massive training datasets.
Model Deployment & MLOps: Implement and manage MLOps practices to deploy models into production, ensuring scalability, low latency, and high reliability (containerization, API development, CI/CD).
Performance Optimization: Apply advanced techniques such as Retrieval‑Augmented Generation (RAG), fine‑tuning, quantization, and distillation to improve model efficiency, accuracy, and cost‑effectiveness.
Research & Innovation: Stay current with the latest academic research and open‑source advancements in generative AI; prototype new ideas and conduct experiments to validate feasibility and impact.
Collaboration: Work closely with product managers, data scientists, and software engineers to integrate generative AI capabilities into products and platforms.
Qualifications
Bachelor of Computer Science (minimum).
Benefits
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Employment Details
Seniority level: Entry level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industry: IT Services and IT Consulting
Base Salary Range: $90,000 – $140,000 per annum Location: Warren, MI
#J-18808-Ljbffr