AI/ML Engineer
Agilisium (company site, opens in a new tab)5+ yrsChennaiOn-siteDirect career pageEst. 14–24 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own the design and deployment of production-grade ML pipelines with MLOps tools like MLFlow, Kubeflow, and AWS Sagemaker.
- Manage CI/CD pipelines and infrastructure using tools including Git, Docker, Jenkins, Kubernetes, and Kafka.
- Collaborate with architects and cross-functional teams to evolve ML architectures and operationalize models at scale.
Minimum Requirements
- Minimum 5 years of experience in AI/ML engineering roles.
- Proficient in Python and ML frameworks such as Tensorflow, Keras, or PyTorch.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Experience with CI/CD tools (Git, Jenkins), MLOps tools (MLFlow, Kubeflow, AWS Sagemaker), and production ML pipelines.
Ideal Candidate Profile
- Experienced in managing end-to-end ML lifecycle from model development to productionization using MLOps frameworks.
- Comfortable operating across technical levels, from hands-on implementation to high-level architecture design.
- Familiar with integrating third-party tools and working in collaborative, cross-geographical teams within IT services.