Senior Data Science Engineer – ML & Generative AI (W2)

Burbank, CA, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Database
  • Application Development
  • Artificial Intelligence
  • Data Modeling
  • Large Language Models (LLMs)
  • Data Science
  • Evaluation
  • Extraction
  • MongoDB
  • Generative Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Management
  • Normalization
  • Optical Character Recognition
  • Optimization
  • Training
  • Prompt Engineering
  • Python
  • Scalability
  • Semantic Search
  • Systems Design
  • Vector Databases
  • Workflow

Summary

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 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117479
  • Position Id: 8903183
  • Posted 4 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote or Santa Ana, California

Today

Full-time

USD 129,300.00 - 189,500.00 per year

Los Angeles, California

17d ago

Full-time

USD 201,683.00 - 322,693.00 per year

Irvine, California

4d ago

Easy Apply

Contract

$50 - $60

Pasadena, California

Today

Full-time

USD 110,000.00 - 150,000.00 per year

Search all similar jobs