Advanced Machine Learning Infrastructure Specialist

2 weeks ago

Pune, Maharashtra, India beBeeMachine Full time US$ 1,20,000 - US$ 2,00,000
DevOps Engineer

We are seeking a highly skilled DevOps Engineer to join our team. As a DevOps Engineer, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, from deployment to monitoring and maintenance.

Job Description:

Key Responsibilities:

  • Deploy and handle machine learning models in production environments, ensuring they are scalable, reliable, and performant.
  • Design and implement CI/CD pipelines for ML models to streamline development and deployment processes.
  • Develop and maintain the infrastructure required for model deployment, including containerization, orchestration, and cloud services.
  • Supervise the performance of deployed models, seek issues, and perform regular maintenance to ensure models remain accurate and effective.
  • Ensure that model deployment and data handling align with security and regulatory requirements.
  • Create and maintain documentation for deployment processes, model performance, and system configurations.
  • Identify and implement improvements to model performance, deployment processes, and infrastructure efficiency.
Required Skills and Qualifications:

Essential Requirements:

  • Bachelor's degree in computer science, data science, statistics, or a related field or equivalent experience.
  • Total 7+ years of confirmed experience.
  • More than tried ability in ML Ops, DevOps, or a related role, with a confirmed understanding of deploying and handling machine learning models in production environments.
  • Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
  • Familiarity with cloud services Azure and AWS and their ML offerings.
  • Experience with CI/CD tools and practices for automating deployment pipelines.
  • Experience with supervising and logging tools to supervise model performance and system health.
Benefits:

We offer a comprehensive medical and insurance coverage to meet the needs of our employees. We also provide a safe working environment across our global network and facilities.

Others:

At [Company Name], we are committed to encouraging a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment contributes to the rich exchange of ideas and diversity of thoughts, that encourages innovation and brings the best solutions to our customers.

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