AI/ML Engineer
Rockwell Automation (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 22–35 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy machine learning models and generative AI systems (LLM-powered applications, RAG pipelines, agentic AI workflows) to solve real business problems at scale.
- Manage full ML/AI lifecycle including data exploration, model training, production deployment, monitoring, and optimization for latency, throughput, and cost.
- Collaborate cross-functionally with Data Science, Product, and Engineering teams to translate business requirements into scalable AI solutions, with a focus on responsible AI practices and model performance validation.
Minimum Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Machine Learning, or related field (or equivalent practical experience).
- 2–5+ years of hands-on experience building and deploying machine learning models in production (5–8+ years if Senior/Staff level).
- Strong programming skills in Python and proficiency with ML/DL frameworks (TensorFlow, PyTorch, scikit-learn).
- Experience with generative AI/LLMs (OpenAI, Anthropic, Llama etc.), RAG pipelines, agentic AI workflows, and cloud platforms (Azure) along with containerization tools (Docker, Kubernetes).
Ideal Candidate Profile
- Experienced AI/ML engineer specialized in cutting-edge generative AI technologies, especially LLM-powered and agentic AI system development.
- Proven ability to operationalize research and prototypes into production-grade, scalable, monitored AI services with MLOps best practices.
- Comfortable working collaboratively with multidisciplinary teams (Data Science, Product, Engineering) to deliver responsible and impactful AI solutions aligned to business needs.