Machine Learning Engineer

Bengaluru, Karnataka

Job ID Job Category Digital Technology

• Job Title – Machine Learning Engineer

Preferred Location - Bangalore, India

Full time/Part Time - Full Time

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

• We are looking for a Machine Learning Engineer to join our dynamic AI team. You will play a pivotal role in designing, developing, and deploying scalable ML solutions that drive real-world impact. Working closely with data scientists, ML engineers, and MLOps engineers, you will lead the end-to-end lifecycle of machine learning projects—from prototyping to production. This position requires a deep understanding of machine learning, data science, and software engineering principles.

Key Responsibilities:
- Design and implement robust, scalable, and efficient ML models for production environments.
- Collaborate with data scientists to transform research prototypes into production-ready solutions.
- Optimize model performance and inference pipelines for speed, accuracy, and scalability.
- Lead architecture decisions and mentor junior ML engineers.
- Work with MLOps engineers to ensure seamless deployment, monitoring, and maintenance of ML models.
- Conduct code reviews, enforce best practices, and contribute to a high-quality engineering culture.
- Stay up to date with the latest advancements in ML and AI technologies.
- Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field. PhD is a plus.
- Strong programming skills in Python and experience with ML libraries like scikit-learn, TensorFlow, or PyTorch.
- Hands-on experience with ML pipeline orchestration tools such as MLflow, or SageMaker Pipelines or VertexAI.
- Deep understanding of data engineering concepts and tools.
- Working knowledge of various machine learning algorithms, for use cases including but not limited to regression, classification, forecasting, and anomaly detection.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their ML/AI services.
- Proven experience in deploying ML models to production (e.g., REST APIs, batch pipelines).
- Familiarity with CI/CD pipelines and version control systems (e.g., Git).
- Deep internal understanding of machine learning algorithms.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
- Preferred Qualifications:
- Knowledge of Dataiku platform is preferred but not mandatory.
- Knowledge of data privacy, model fairness, and responsible AI practices.
- Experience with big data technologies (e.g., Hadoop, Spark).
- Experience in deploying Generative AI (GenAI) projects in production is preferred.

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 Program.

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.

Now

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.