- Location
- Bengaluru East, Karnataka, India
- Job type
- Full-time
Required skills
- Python
- AWS
- Azure
- compliance
- containerization
- Docker
- GCP
- GitHub
- Jenkins
- Kubernetes
- TensorFlow
- Pytorch
About the role
Infosys
Website:
infosys.com
Job details:
Required Skills:
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Familiarity with cloud platforms (AWS, Azure, GCP) and ML services.
- Expertise in CI/CD tools (GitHub Actions, Jenkins, Argo).
- Knowledge of feature stores, model registries, and ML observability tools.
- Understanding of data versioning and experiment tracking (MLflow, DVC). Key Responsibilities:
- Develop and maintain CI/CD pipelines for ML models and data workflows.
- Automate model training, testing, deployment, and rollback processes.
- Implement monitoring and alerting for model performance and data drift.
- Optimize infrastructure for cost, scalability, and reliability (cloud or hybrid environments).
- Collaborate with data scientists and software engineers to integrate ML models into production.
- Ensure compliance with security, governance, and reproducibility standards. Experience:
- 5–8 years of experience in software engineering or data engineering, with at least 3+ years in MLOps. Preferred Qualifications:
- Experience with large-scale ML systems and distributed training.
- Familiarity with GenAI model deployment and optimization.
- Strong problem-solving and debugging skills in production environments
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