Senior Machine Learning Operations Engineer

3 days ago

Chennai, Tamil Nadu, India Valuebound Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Description

  • Manage Data : Extract, clean, and structure both structured and unstructured data.
  • Coordinate Pipelines : Utilize tools such as Airflow, Step Functions, or Azure Data Factory to orchestrate data workflows.
  • Deploy Models : Develop, fine-tune, and deploy models using platforms like SageMaker, Azure ML, or Vertex AI.
  • Scale Solutions : Leverage Spark or Databricks to handle large-scale data processing tasks.
  • Automate Processes : Implement automation using tools like Docker, Kubernetes, CI/CD pipelines, MLFlow, Seldon, and Kubeflow.
  • Collaborate Effectively : Work alongside engineers, architects, and business stakeholders to address and resolve real-world problems efficiently.

Requirements

  • 3+ years of hands-on experience in MLOps (4-5 years of overall software development experience).
  • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP).
  • Proficiency in using Databricks, Spark, Python, SQL, TensorFlow, PyTorch, and Scikit-learn.
  • Expertise in debugging Kubernetes and creating efficient Dockerfiles.
  • Experience in prototyping with open-source tools and scaling solutions effectively.
  • Strong analytical skills, humility, and a proactive approach to problem-solving.
  • Experience with SageMaker, Azure ML, or Vertex AI in a production environment.
  • Commitment to writing clean code, creating clear documentation, and maintaining concise pull requests.

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