Sr. MLOps Engineer

Country:

India

Location:

Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103

Location: Bengaluru

skills- Sr.ML Ops Engineer

Build a career with confidence:

Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.

Description 

We are seeking a highly skilled and experienced MLOps Engineer to join our AI Platform team. In this role, you will be responsible for developing, implementing, and maintaining robust MLOps processes and infrastructure to support our machine learning initiatives. You will work closely with data scientists, platform engineers, and other stakeholders to streamline the deployment and management of ML models in production environments. The ideal candidate will have a strong background in both machine learning and DevOps practices, with a focus on automation, scalability, and reliability.

Primary responsibilities: 

• Develop and manage deployment processes for machine learning models, ensuring seamless integration into production environments

• Design and implement automated CI/CD pipelines for ML workflows, adhering to company standards and best practices

• Create and maintain monitoring tools to track model performance, reliability, and accuracy in production

• Optimize infrastructure for model training, testing, and deployment, including the development of template scripts and automation to accelerate the development process

• Collaborate with data scientists, data engineers, and platform engineers to streamline ML operations and integrate new AI technologies into the platform ecosystem

• Ensure security and compliance of ML models and workflows with industry standards, regulations, and company governance frameworks

• Research and integrate best practices and new technologies in MLOps to improve efficiency and effectiveness

• Assist in the creation and implementation of rigorous evaluation and validation processes for ML models, focusing on automation of validation scripts for deployment

• Contribute to the development and maintenance of training materials and user guides for the AI platform

Experience and Skills Required: 

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

• 6+ years of experience in software engineering or DevOps, including at least 2-3 years of hands-on experience with machine learning operations or AI platform engineering

• Demonstrated experience in deploying and maintaining machine learning models in production environments

• Strong programming skills in Python and proficiency with shell scripting

• Extensive experience with CI/CD tools (e.g., Jenkins, GitLab CI, or Azure DevOps)

• In-depth knowledge of containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes)

• Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and their ML-specific services

• Practical experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn

• Strong understanding of data pipelines, ETL processes, and data storage solutions

• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)

• Excellent problem-solving skills and ability to optimize complex systems

• Strong communication skills and ability to work effectively in a collaborative environment

• Knowledge of data governance, security best practices, and compliance regulations related to AI/ML

• Experience with version control systems (e.g., Git) and ML model versioning tools (e.g., MLflow, DVC)

Benefits:

• We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.

• Have peace of mind and body with our health insurance

• Make yourself a priority with flexible schedules and leave Policy

• Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Programme

Our commitment to you:

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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