Senior Machine Learning Engineer

Dear Aspirants,

We at ValueLabs have an Opening for AI / ML Engineer role. Below is the JD for the same..

Role : AI / ML Engineer

Experience 5+ Years

Responsibilities

At least 5+ years of relevant AI / ML experience or previous ML experience with strong engineering competencies and at least 3+ years in Generative AI.

Broad experience analysing complex, large-scale data sets, data pipelines, ingestion, and making data-driven decisions.

Familiarity or hands-on experience with NLP techniques and applications is a plus.

Proven experience successfully delivering high-quality solutions in complex environments.

Strong track record of operating credibly at all levels in a fast-paced organization.

The role involves designing, developing, and deploying enterprise-grade AI solutions with a focus on Large Language Models (LLMs).

The ideal candidate should have strong expertise in open-source LLMs such as Mistral, Qwen, or LLaMA, with hands-on experience in fine-tuning techniques (LoRA, PEFT, adapters), RAG-based chatbot development, and prompt engineering for commercial LLMs (Gemini, OpenAI).

Candidates must have solid Python programming and API development skills and experience applying LLMs for structured data extraction and automation workflows.

Familiarity with cloud-based ML environments (AWS, GCP, Azure) and exposure to vector databases (FAISS, Pinecone, Weaviate, Milvus) is desirable.

Knowledge of MLOps practices for deploying and monitoring LLM-based applications will be an added advantage. In addition, experience with the US Benefits domain is highly valued for this role.

The position requires close collaboration with cross-functional teams to translate business requirements into scalable AI solutions and active contribution across all phases of AI-related projects, from ideation to deployment.

If Interested to Explore kindly share your CV to