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Machine Learning Ops Engineer

3-6 years

Pune

1 vacancy

Machine Learning Ops Engineer

NI India

posted 18hr ago

Job Description

As an ML Ops Engineer at Emerson, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, from deployment to monitoring and maintenance. You will work closely with data scientists, machine learning engineers, and development teams to ensure that ML models are effectively integrated into production systems and deliver high performance.

WHY EMERSON

Our Commitment to Our People

At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.

We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world s most complex problems for our customers, our communities, and the planet. You ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.

At Emerson, you ll see firsthand that our people are at the center of everything we do. So, let s go. Let s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let s go, together.

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If you have a disability and are having difficulty accessing or using this website to apply for

ABOUT EMERSON

Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.

With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.

We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you ll find your chance to make a difference with Emerson. Join our team - let s go!

No calls or agencies please.

Job Summary:

As an ML Ops Engineer at Emerson, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, from deployment to monitoring and maintenance. You will work closely with data scientists, machine learning engineers, and development teams to ensure that ML models are effectively integrated into production systems and deliver high performance.

In this Role, Your Responsibilities Will Be:

  • Deploy and manage machine learning models in production environments, ensuring they are scalable, reliable, and performant.
  • Design and implement CI/CD (Continuous Integration/Continuous Deployment) pipelines for ML models to streamline development and deployment processes
  • Develop and maintain the infrastructure required for model deployment, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud services (e.g., AWS, Google Cloud, Azure).
  • Monitor the performance of deployed models, solve 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. Implement standard methodologies for data privacy and protection.
  • Create and maintain documentation for deployment processes, model performance, and system configurations. Provide clear and comprehensive reports to customers.
  • Identify and implement improvements to model performance, deployment processes, and infrastructure efficiency.
  • Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective

Who You Are:

You promote high visibility of shared contributions to goals. You quickly and significantly take action in constantly evolving, unexpected situations. You actively seek guidance from pertinent sources to make timely and well-informed decisions. You handle the risk that comes with moving forward when the outcome is not certain.

For This Role, You Will Need:

  • In computer science, Data Science, Statistics, or a related field or or higher is preferred.
  • Total 5 to 6 years of industry experience
  • More than 3 years of experience in ML Ops, DevOps, or a related role, with a solid understanding of deploying and managing machine learning models in production environments.
  • Experience with containerization technologies 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 (e.g., Azure Pipeline, Azure DevOps).

Experience with monitoring and logging tools to track model performance and system health.

Preferred Qualifications that Set You Apart:

  • Prior experience in engineering domain would be nice to have
  • Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have
  • Knowledge of data engineering and ETL (Extract, Transform, Load) processes.
  • Experience with version control systems (e.g., Git) and collaboration tools.

Understanding of machine learning model life cycle management and model versioning.

Our Offer to You:

By joining Emerson, you will be given the opportunity to make a difference through the work you do.

Emersons compensation and benefits programs are designed to be competitive within the industry and local labor markets. We also offer a comprehensive medical and insurance coverage to meet the needs of our employees.

We are committed to creating a global workplace that supports diversity, equity and embraces inclusion. We welcome foreign nationals to join us through our Work Authorization Sponsorship.

We attract, develop, and retain exceptional people in an inclusive environment, where all employees can reach their greatest potential. We are dedicated to the ongoing development of our employees because we know that it is critical to our success as a global company.

We have established our Remote Work Policy for eligible roles to promote Work-Life Balance through a hybrid work set up where our team members can take advantage of working both from home and at the office.

Safety is paramount to us, and we are relentless in our pursuit to provide a Safe Working Environment across our global network and facilities.

Through our benefits, development opportunities, and an inclusive and safe work environment, we aim to create an organization our people are proud to represent.


Our Commitment to Diversity, Equity & Inclusion

At Emerson, we are committed to fostering 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 inspires innovation and brings the best solutions to our customers.

This philosophy is fundamental to living our company s values and our responsibility to leave the world in a better place. Learn more about our Culture & Values and about Diversity, Equity & Inclusion at Emerson .

If you have a disability and are having difficulty accessing or using this website to apply for

WHY EMERSON

Our Commitment to Our People

At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.

We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world s most complex problems for our customers, our communities, and the planet. You ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.

At Emerson, you ll see firsthand that our people are at the center of everything we do. So, let s go. Let s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let s go, together.

ABOUT EMERSON

Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.

With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.

We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an, you ll find your chance to make a difference with Emerson. Join our team - let s go!




Employment Type: Full Time, Permanent

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