AI/ML Engineer
Rockwell Automation (company site, opens in a new tab)3+ yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Build LLM applications, RAG pipelines and agentic workflows alongside classical ML to automate or improve business processes.
- Own the ML/AI lifecycle from data pipelines, experimentation and model development through production deployment, monitoring and retraining.
- Improve production reliability and business impact through MLOps, model evaluation, responsible AI practices, and optimization for latency, throughput and cost.
Minimum Requirements
- Work Experience Required: 2–5+ years building and deploying ML models in production; 3+ years across the ML lifecycle and 3+ years with model serving and APIs.
- Bachelor’s degree in a related field or equivalent practical experience; strong Python skills, familiarity with SQL, and experience with ML/DL frameworks and MLOps tooling.
- Hands-on LLM application development, RAG pipeline implementation, and agentic AI workflows; working knowledge of vector databases, prompt engineering, and production trade-offs for LLM applications.
- Hybrid work at a Rockwell location at least Mondays, Tuesdays and Thursdays, unless business obligations require working elsewhere.
Ideal Candidate Profile
- Has taken ML and GenAI systems beyond prototypes into production, including deployment, monitoring, evaluation and ongoing improvement.
- Can build practical LLM solutions using retrieval, tools or multi-step workflows, while balancing quality, safety, latency and cost.
- Works across data, product and platform teams to turn business requirements into measurable ML solutions and communicate model limitations and trade-offs.