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Generative AI Engineer

Tata Consultancy Services Warren, MI

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$90k - $140k · Senior Full-time Posted 6 days ago 2 min read

**Job Description**
Programming: Expert-level proficiency in Python.

ML Frameworks: Extensive experience with PyTorch (strongly preferred) and/or TensorFlow.

LLMs & NLP: Hands-on experience working with Large Language Models (e.g., via OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, or custom models). Deep understanding of NLP concepts (tokenization, embeddings, attention mechanisms).

Cloud & MLOps: Proven experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools (e.g., 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. This includes containerization, API development, and continuous integration/continuous deployment (CI/CD).

Performance Optimization: Apply advanced techniques like 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 their feasibility and impact.

Collaboration: Work closely with product managers, data scientists, and software engineers to integrate generative AI capabilities into our products and platforms.

Base Salary Range: $90,000 - $140,000 per annum

**TCS Employee Benefits Summary**
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.

**Qualifications:**
BACHELOR OF COMPUTER SCIENCE

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