AI Model Deployment Specialist

6 days ago

Pune, Maharashtra, India beBeeMachineLearning Full time ₹ 36,00,000 - ₹ 45,00,000

**Job Overview**

This position requires a highly skilled professional with expertise in deploying and managing machine learning models in production environments. The successful candidate will have a strong background in software development, data engineering, and DevOps.

Key Responsibilities:

  • Design and implement scalable and efficient architecture for machine learning model deployment
  • Develop and maintain infrastructure required for model deployment, including containerization and orchestration
  • Deploy and manage machine learning models in production environments
  • Maintain high-performance models through continuous monitoring and optimization
  • Ensure compliance with security and regulatory requirements
  • Provide clear and comprehensive documentation for deployment processes and model performance

Requirements:

  • Bachelor's degree in Computer Science, Data Science, Statistics, or related field
  • Total 7+ years of industry experience
  • More than 3 years of experience in ML Ops, DevOps, or related role
  • Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes)
  • Familiarity with cloud services (e.g., Azure, AWS) and their ML offerings
  • Experience with CI/CD tools and practices for automating deployment pipelines
  • Experience with monitoring and logging tools to track model performance and system health

PREFERRED QUALIFICATIONS:

  • Prior experience in engineering domain
  • Prior experience in working with teams in Scaled Agile Framework (SAFe)
  • Knowledge of data engineering and ETL processes
  • Experience with version control systems (e.g., Git) and collaboration tools

About the Ideal Candidate:

You are a detail-oriented professional with excellent problem-solving skills. You have a strong understanding of machine learning concepts and can apply them to real-world problems. You are comfortable working in a fast-paced environment and can prioritize multiple tasks simultaneously.

How to Apply:

To be considered for this position, please submit your resume and cover letter outlining your relevant experience and qualifications.

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