Data Driven Decision Making Specialist

6 days ago

Pune, Maharashtra, India beBeeDeployment Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title:

Machine Learning Deployment Engineer

About the Position:

We are seeking a seasoned Machine Learning Deployment Engineer to join our growing data competency team.

  • Key Responsibilities:
  • Design, build, and manage scalable machine learning model deployment pipelines.
  • Automate model training, validation, monitoring, and retraining workflows.
  • Implement model governance, versioning, and reproducibility best practices.
  • Collaborate with data scientists, engineers, and product teams to operationalize machine learning solutions.
  • Ensure robust monitoring and performance tuning of deployed models.

Required Expertise:

  • Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, SageMaker, Vertex AI).
  • Proficient in containerization (Docker, Kubernetes).
  • Good knowledge of cloud platforms (AWS, Azure, or GCP).
  • Expertise in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of CI/CD, infrastructure as code, and automation tools.

What We Offer:

  • A competitive compensation package.
  • A culture focused on talent development with opportunities for growth and advancement.
  • The opportunity to work with cutting-edge technologies.
  • Employee engagement initiatives such as flexible work hours and Long Service awards.
  • Annual health check-ups.
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization.

Inclusive Environment:

We are dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference.

  • We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
  • Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.

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