T
AI

Generative AI Engineer

Tata Consultancy Services · Warren, MI · $90k - $140k

Actively hiring Posted 6 days ago

Role overview

**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

Tags & focus areas

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Fulltime Ai Ai Engineer Nlp Mlops Pytorch Tensorflow Generative Ai