AIML Ops Engineer

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

  • Design build and maintain scalable ML pipelines for training testing and deployment
  • Operationalize machine learning models using CI/CD best practices
  • Collaborate with Data Scientists Data Engineers and DevOps teams to productionize models
  • Monitor model performance drift and data quality in production
  • Implement model versioning reproducibility and experiment tracking
  • Automate workflows using orchestration tools
  • Ensure security compliance and governance in ML lifecycle
  • Optimize infrastructure for cost and performance

Key Skills & Requirements

Core Technical Skills

  • Strong experience in Python and ML frameworks (TensorFlow PyTorch Scikit-learn)
  • Hands-on experience with MLOps tools like MLflow Kubeflow Airflow
  • Expertise in CI/CD pipelines (Jenkins GitHub Actions GitLab CI)
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Knowledge of cloud platforms: AWS / Azure / GCP
  • Familiarity with data engineering tools (Spark Kafka Databricks)
  • Understanding of model monitoring drift detection and observability

Preferred Qualifications

  • Experience working in a consulting or enterprise-scale environment
  • Exposure to GenAI / LLMOps is a strong plus
  • Knowledge of infrastructure-as-code (Terraform CloudFormation)
  • Experience with feature stores (Feast Tecton)
Key Responsibilities Design build and maintain scalable ML pipelines for training testing and deployment Operationalize machine learning models using CI/CD best practices Collaborate with Data Scientists Data Engineers and DevOps teams to productionize models Monitor model performance drift and d...
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