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Machine Learning Engineer

3 months ago

Visakhapatnam, India Indian School of Business Full time

Job Description: MLOps Engineer

  • Collaborate with Business and IT teams for understanding and collecting data.
  • Experience in designing and building data pipelines, provisioning engineering infrastructure, deployment of model training pipelines in the cloud with emphasis on data security and system scalability.
  • Implementing CI/CD pipelines for automated testing, building, and deploying machine learning models following the industry best practices.
  • Build Data Pipelines for predictive models and deployment from different sources like
  1. SalesForce – Numerical, Text and Call Logs
  2. Web-Scraping
  3. SQL Server
  4. Adobe Email Marketing Cloud
  5. Call Log Audio data from Systems like OzoneTel etc
  • Setting up Data Warehouse Tables(Schemas) by parsing, cleaning and processing the Input pipeline data
  • Deploy ML Models to update Prediction data into SalesForce/other systems.

Technical Skills

  • At least 2-3 years of experience in building data pipelines, setting up Data Warehouse and Model deployments.
  • Proficient in setting up version control systems like Git or Jupyter Notebooks or MLFlow for tracking changes in code, artifacts and model versions.
  • Hands-on experience with deploying popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with containerization tools like Docker and container orchestration systems like Kubernetes.
  • Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
  • Strong understanding of software testing, benchmarking, and continuous integration
  • Experience deploying ML services and applications to at least one major cloud platform (AWS, Azure, GCP etc)
  • Proficient in Python, Spark (PySpark), and SQL
  • Experience in building custom integrations between cloud-based systems using APIs.