Machine Learning Engineer

1 day ago

Mumbai, Maharashtra, India beBeeMachineLearning Full time ₹ 2,30,40,000 - ₹ 2,59,20,000

Job Overview:

We are seeking a highly skilled MLOps Lead to drive the deployment, automation, and scalability of Machine Learning models in production environments.

Key Responsibilities:

  • Design, implement, and maintain MLOps pipelines for model training, validation, deployment, and monitoring using MLflow or Kubeflow.
  • Automate ML workflows, including data ingestion, feature engineering, and model optimization.
  • Build and maintain CI/CD pipelines for ML applications using tools like Jenkins, GitLab CI, or AWS CodePipeline.
  • Deploy scalable ML infrastructure on AWS using services like S3, Lambda, SageMaker, EKS, EC2, and CloudFormation/Terraform.
  • Integrate containerization technologies (Docker, Kubernetes) for reproducible and scalable deployments.

Candidate Requirements:

  • 7-12 years of overall IT experience with at least 4+ years in MLOps/ML Engineering.
  • Hands-on expertise with MLflow and Kubeflow for model management and deployment.
  • Strong programming skills in Python (Pandas, NumPy, Scikit-learn, etc.).
  • Solid experience with DevOps practices and building CI/CD pipelines.
  • Proficiency in AWS cloud services related to ML (SageMaker, EKS, S3, EC2, Lambda, etc.).
  • Experience with Docker and Kubernetes for container orchestration.

Preferred Qualifications:

  • Exposure to GCP or Azure MLOps toolchains.
  • Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.
  • Knowledge of data versioning tools like DVC.
  • Understanding of data security, compliance, and governance in ML pipelines.

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