Ai Architect/ Senior Ai Engineer_ Llmops_ 6 To @ Fractal Analytics

Its fun to work in a company where people truly BELIEVE in what they are doing!

Were committed to bringing passion and customer focus to the business.

Its fun to work in a company where people truly BELIEVE in what they are doing!

Were committed to bringing passion and customer focus to the business.

Job Location:

Bangalore, Mumbai, Pune, Gurgaon, Chennai, Noida, Hyderabad, Coimbatore

Role Brief:

• You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role

Required Qualifications:

• 6-10 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
• Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
• Should have worked on proprietary and open-source large language models
• Experience on LLM fine tuning, creating distilled model from hosted LLMs
• Building data pipelines for model training
• Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability
• Experience in GenAI application deployment on cloud and on-premises at scale for production
• Experience in creating CI/CD pipelines
• Working knowledge on Kubernetes
• Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
• Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
• Experience in light weight UI development using streamlit or chainlit (optional)
• Desired experience on open-source tools for ML development, deployment, observability, and integration
• Background on DevOps and MLOps will be a plus
• Experience working on collaborative code versioning tools like GitHub/GitLab
• Team player with good communication and presentation skills

EDUCATION:

B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.

If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!