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ML Ops Engineer

Infosys
Bengaluru, India
5-8 Years
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  • Posted 29 days ago
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Job Description

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

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Mlops
Employment Type:
Full time

About Company

Infosys

Job ID: 147477693

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Last Updated: 15-05-2026 08:58:32 PM
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