Sr. ML Engineer
Carrier
Job Title - ML Engineer
Preferred Location - Bangalore/Hyderabad, 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.
**Job Description:** We are seeking a highly skilled and experienced **Senior Machine Learning Engineer** to join our AI Platforms Team. The ideal candidate will play a crucial role in ensuring that projects developed by our Data Science teams are production-ready. This position requires a deep understanding of machine learning, data science, and software engineering principles.
**Key Responsibilities:**
+ Collaborate with Data Science teams to refine and enhance machine learning models and data science projects at every stage of development.
+ Ensure that machine learning models and data science projects are production-ready, scalable, performant, and fault-tolerant.
+ Develop and enforce best practices, controls, and governance frameworks for machine learning projects.
+ Implement robust monitoring and maintenance strategies for deployed models to ensure continuous performance and reliability.
+ Work closely with cross-functional teams to integrate machine learning solutions into production environments.
+ Provide technical leadership and mentorship to junior engineers and data scientists.
+ Stay up-to-date with the latest advancements in machine learning and data science technologies and methodologies.
**Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related field. PhD is a plus.
+ Proven experience in machine learning, data science, and software engineering.
+ Strong programming skills in languages such as Python and SQL.
+ Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
+ Working knowledge of various machine learning algorithms, for use cases including but not limited to regression, classification, forecasting, and anomaly detection.
+ Familiarity with cloud platforms, especially AWS and SageMaker.
+ Experience in building and deploying large-scale machine learning projects in production.
+ 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 governance and compliance standards.
+ Experience with big data technologies (e.g., Hadoop, Spark).
+ Familiarity with CI/CD pipelines and DevOps practices.
+ 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.
Apply 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.**
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