Leading MLOps Engineer

3 days ago

Bengaluru Bangalore Gurgaon Gurugram Chennai, India beBeeMachineLearning Full time ₹ 14,00,000 - ₹ 28,00,000
Advanced Analytics Engineer - MLOps

Collaborate with data scientists and engineers to develop and deploy machine learning models.

  • As an Advanced Analytics Engineer, you will collaborate with cross-functional teams to design, develop, and deploy advanced analytics and machine learning models. You will help automate and streamline model development and operations. You will build and maintain tools for deployment, monitoring, and operations. You will also troubleshoot and resolve issues in development, testing, and production environments.
  • Enable model tracking, model experimentation, and model automation. Develop scalable ML pipelines.
  • Develop MLOps components in the machine learning development life cycle using model repositories such as MLFlow or Kubeflow Model Registry.
  • Work with machine learning services such as Kubeflow, DataRobot, HopsWorks, or Dataiku to develop end-to-end PaaS/SaaS solutions.
  • Work across all phases of the model development life cycle to build MLOps components.
  • Build knowledge bases required to deliver increasingly complex MLOps projects on cloud platforms (AWS, Azure, GCP) or on-premises.

Qualifications:

  • 5-10 years of experience building production-quality software.
  • Strong experience in system integration, application development, or data warehouse projects across technologies used in the enterprise space.
  • Basic knowledge of MLOps, machine learning, and Docker.
  • Object-oriented languages such as Python, PySpark, Java, C#, C++.
  • Experience developing CI/CD components for production-ready ML pipelines.
  • Database programming using any flavors of SQL.
  • Knowledge of Git for source code management.
  • Ability to collaborate effectively with highly technical resources in a fast-paced environment.
  • Ability to solve complex challenges/problems and rapidly deliver innovative solutions.
  • Team handling, problem-solving, project management, and communication skills, along with creative thinking.
  • Foundational knowledge of cloud computing on one of the following platforms: AWS, Azure, or GCP.
  • Hunger and passion for learning new skills.

Key Features:

  • Collaborative environment with data scientists and engineers.
  • Opportunity to work on cutting-edge technology and projects.
  • Chance to develop and grow your skills in MLOps and machine learning.

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