ML Ops Engineer
11 hours ago
- 11-14 years of experience in DevOps and MLOps; Should have strong experience in DevOps before transitioning to MLOps
- At least 5 years of experience in MLOps
- LLMOPs and AgenticOps
- Knowledge of agentic AI
- RAG architecture, vector DBs, finetuning of LLMs, model distillation and quantization
- Manage CI/CD pipelines, Jenkins, Atlassian suite or similar
- Knowledge of data pipelines and model pipelines along with knowledge of AI DLC (development lifecycle), Familiarity with ML concepts - classical ML, GenAI, AgenticAI
- Strong programming skills in Python, PySpark
- Experience with at least one cloud platform. Prometheus, Grafana, Cloud Watch and CodePipeline. Strongly preferred: AWS
- Strong stakeholder management skills and team management experience (expected to manage a team of around 15-20 people)
- Knowledge of Agile and program management practices
Qualification- BE, Btech, BCA, MCA. Mtech, BCS, Bsc or equivalent preferred
Contact Number
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