ML Ops Engineer

Pune, Maharashtra, India
Dec 31, 2024
Dec 31, 2025
Hybrid
Full-Time
3 Years
Job Description

As an ML Ops Engineer at Emerson, you will lead the integration of machine learning models into production systems, ensuring efficient deployment, monitoring, and maintenance. Collaborate with cross-functional teams to deliver scalable and reliable machine learning solutions that meet the highest standards of performance and compliance.

Key Responsibilities

  1. Model Deployment. Deploy and manage machine learning models in production environments, ensuring scalability and reliability.
  2. CI/CD Pipelines. Design and implement CI/CD pipelines for streamlined model development and deployment.
  3. Infrastructure Development. Build and maintain infrastructure leveraging Docker, Kubernetes, and cloud services (AWS, Azure, Google Cloud).
  4. Monitoring & Maintenance. Monitor model performance, address issues proactively, and perform regular maintenance.
  5. Compliance & Security. Ensure model deployments align with security standards and regulatory requirements.
  6. Documentation. Maintain documentation of deployment processes, metrics, and configurations.
  7. Continuous Improvement. Optimize model performance, deployment processes, and infrastructure efficiency.
  8. Agile Participation. Actively contribute to Scrum events and team alignment.

Qualifications and Requirements

  1. Education. Degree in Computer Science, Data Science, or related field (advanced degrees preferred).
  2. Experience. 5-6 years of industry experience, including 3+ years in ML Ops or DevOps roles.

Technical Proficiency

  • Expertise in Docker, Kubernetes, and cloud platforms like Azure and AWS.
  • CI/CD tools (e.g., Azure Pipeline, Azure DevOps).
  • Monitoring and logging tools for model performance.

Additional Skills

  • Knowledge of data engineering, ETL processes, and version control (Git).
  • Understanding of ML lifecycle management and model versioning.
  • Experience with engineering domains and Scaled Agile Framework (SAFe) is a plus.

Preferred Qualifications

  • Experience in engineering domains and SAFe methodologies.
  • Advanced knowledge of data engineering pipelines and ETL processes.
  • Familiarity with collaborative tools and model lifecycle management.

Why Join Emerson?

  • Comprehensive medical and insurance coverage.
  • Award-winning development programs.
  • Commitment to diversity, equity, and inclusion.
  • Work Authorization Sponsorship for foreign nationals.
  • Safe and inclusive global workplace practices.

Diversity, Equity & Inclusion at Emerson

We foster an inclusive environment where diverse perspectives drive innovation and superior solutions for our customers. By valuing individual experiences, we leave the world a better place.

About Emerson

Emerson is a global leader in automation technology, driving innovation and digital transformation across critical industries. Join us to collaborate, innovate, and make a difference in a diverse and empowering environment.

Let’s go, together.