Senior Machine Learning Infrastructure Engineer

1 day ago

Chennai, Tamil Nadu, India beBeeMLOps Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Machine Learning Model Deployer

We are seeking a skilled expert to manage the entire machine learning lifecycle, from model deployment to maintenance. The ideal candidate will work closely with data scientists and engineering teams to automate the machine learning process, optimize model performance, and ensure smooth integration with data pipelines.

Key Responsibilities:

  • Develop and maintain scalable machine learning pipelines and infrastructure across cloud platforms such as AWS, Azure, and GCP.
  • Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models deployed.
  • Work with cross-functional teams to deploy, monitor, update, and manage models in production.
  • Develop logging, alerting, and mitigation strategies for handling model errors and optimize performance.

Requirements:

  • Bachelor's degree in computer science, analytics, mathematics, or statistics.
  • Strong experience in Python, SQL, Pyspark.
  • Solid understanding and knowledge of containerization technologies (Docker, Podman, Kubernetes).
  • Proficient in CI/CD pipelines, model monitoring, and MLOps platforms (e.g., AWS SageMaker, Azure ML, MLFlow).
  • Experience with serving models using FastAPI, Flask, or similar frameworks for real-time inference.
  • Certifications in AWS, Azure, or ML technologies are a plus.
  • Experience with Databricks is highly valued.
  • Strong problem-solving and analytical skills.
  • Ability to work in a team-oriented, collaborative environment.

Preferred Qualifications:

  • Master's degree in computer science, analytics, mathematics, or statistics.
  • Experience with cloud platforms, specifically AWS, Azure, and GCP.
  • Knowledge of batch processing integration for large-scale data pipelines.

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