Hi,
The following requirement is open with our client.
Client : TCS
Title : Senior Data Science Engineer – ML & Generative AI (W2)
Location : BURBANK, CA (Onsite)
Duration : 12+ Months
Relevant Experience (in Yrs.): 9+
Job Description:
· Advanced Python development for ML/AI workloads
· End-to-end ML lifecycle: model training, evaluation, fine-tuning, and labeling/tagging workflows
· Generative AI systems design, including LLM-based application development
· Prompt engineering and optimization for Large Language Models
· Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking
· Embedding generation pipelines for semantic search and retrieval
· Vector similarity search using vector databases
· ML model integration with Vector Databases and MongoDB
· Production-grade ML engineering practices
· Develop and deploy ML and Generative AI solutions using Python
· Design and optimize prompt engineering strategies for LLM applications
· Build document extraction, parsing, and chunking pipelines
· Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
· Implement embedding generation and vector search solutions
· Integrate ML models with Vector DBs and MongoDB
· Ensure high code quality, scalability, and production readiness
Strong Fit If the Candidate:
· Has expert-level Python skills
· Has hands-on experience building ML/Generative AI systems (not just theoretical knowledge)
· Has worked on end-to-end ML pipelines (data → model → deployment)
· Has experience with Document AI, embeddings, and vector search
· Thinks like an engineer — writes scalable, maintainable, production-ready code
Must Have Skills:
· Python
· End-to-End ML Pipelines
· LLM/GenAI Applications
· Embeddings & Vector DB
· MongoDB
· Production ML Deployment
Thanks and Regards,
Grace
Technical Recruiter |ASCII Group LLC.
Email: |Direct:
38345 W. 10 Mile Rd, Ste.#365; Farmington, MI 48335