Senior Cloud Machine Learning Engineer

4 days ago

Davangere, Karnataka, India beBeeMachine Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Job Title

About the Role

As a seasoned Machine Learning and Artificial Intelligence professional, you will be responsible for designing, developing, and implementing cutting-edge ML/AI solutions in cloud environments.

You will work closely with cross-functional teams to integrate Machine Learning models into production, ensuring seamless deployment and scalability.

Key Responsibilities

  1. Design and develop high-performing, scalable ML/AI applications in cloud environments.
  2. Collaborate with Data Science, Data Engineering, and Cloud teams to implement Machine Learning models into production.
  3. Implement ML/AI automation for scale and efficiency.
  4. Develop and manage industrialized processing pipelines.
  5. Define best practices in ML model life cycles and ML operations.
  6. Implement AI/MLOps frameworks and support Data Science teams in best practices.
  7. Stay up-to-date with modern techniques, tools, and frameworks in ML Architecture and Operations.
Requirements

  1. Strong understanding of ML/AI concepts, including types of algorithms, machine learning frameworks, model efficiency metrics, and model life-cycle.
  2. Experience with cloud concepts and architectures, preferably GCP.
  3. Proficiency in programming ML algorithms and data processing pipelines using Python.
  4. At least 6-8 years of experience in production-ready code development.
  5. Experience in designing and implementing data pipelines.
  6. Practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks.
Nice to Have Skills & Knowledge

  • Programming languages: PySpark, Scala, R, Java.
  • Tools like AirFlow, ADF, or Kubeflow.
  • CI/CD and DevOps concepts, GitHub Actions, GitLab, or Azure DevOps.
  • Software engineering best practices, productization of ML solutions using technologies like Docker/Kubernetes.

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