AI/ML Engineer
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About the role
Rockwell Automation provides technology that helps manufacturers improve productivity, sustainability, and agility. The AI/ML Engineer will build, deploy, and monitor production machine-learning and generative AI systems, including LLM applications, RAG pipelines, and agentic workflows.
What you'll do
- Build LLM applications, RAG pipelines, and agentic AI workflows
- Develop scalable data pipelines for model training and inference
- Deploy models using MLOps practices and monitor production performance
- Evaluate models through experiments and optimize inference latency, throughput, and cost
- Apply responsible AI practices across model development
Skills
Must have
- Python
- SQL
- TensorFlow
- PyTorch
- Scikit-learn
- Xgboost
- Lightgbm
- MLOPS
- LLMs
- RAG
Nice to have
- Multi-agent systems
- Kafka
- Flink
- Responsible AI
- Model interpretability
- Privacy-preserving machine learning
Tools
- Mlflow
- Kubeflow
- Sagemaker
- Vertex AI
- Airflow
- Azure
- Docker
- Kubernetes
- LangChain
- Llamaindex
Who it's for
- Education
- Bachelor's degree
- Degree
- computer science, data science, statistics, mathematics, machine learning
- Experience
- 2 to 5 years
- Domain
- industrial automation
About Rockwell Automation
Rockwell Automation has 8 open roles in Bangalore, at Rockwell automation. See every Rockwell Automation role.
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