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Senior Machine Learning Engineer - Azure Data Factory/Databricks

3 years

0 Lacs

Chennai Tamil Nadu India

Posted:1 month ago| Platform: Linkedin logo

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Skills Required

learning azure data databricks extract airflow sagemaker ml vertex spark processing automate automation docker kubernetes mlflow resolve software development aws python sql tensorflow pytorch debugging prototyping scaling ai writing code documentation

Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities

  • 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.
(ref:hirist.tech)

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