ML Engineer- GenAI Specialization

ML Engineer- GenAI Specialization

Work Location: San Francisco, CA (Onsite – Hybrid)

Job Description:

• RAG architecture
• Structured output and retries
• Hallucinations elimination
• Hardware optimization
• Cost management and optimization
• LLM evaluator
• Implement few shot learning
• Vector database and semantic search services
• Hybrid search a plus
• LoRA finetuning a plus

Primary Skills:

• GenAI, RAG architecture, Hardware optimization, Cost management and optimization, LLM evaluator, Vector database, Semantic search services, Hybrid search, LoRA finetuning

Secondary Skills:

• Python, Machine Learning, Deep Learning, Data Engineering, Cloud Platforms (AWS/Azure/GCP), Git, Docker, Kubernetes, Data Visualization

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Safe return to office:

In order to comply with LTIMindtree's company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.