
AI Engineer_ LLMOps
3 days ago
Required Qualifications:
- 3 - 5 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 onopen-source toolsfor 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
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