AI Engineer at Carrier

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, ML Frameworks, GCP, Azure, AWS, MLOps, CI/CD, REST APIs, SQL, Data Handling, Model Evaluation, Data Mining, Statistical Reporting, Data Analysis, Model Deployment, AI Services

Industry

Wholesale Building Materials

Description

Role: AI Engineer Location: Bangalore Full/ 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. About the role Established Data Science & Analytics professional. Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets Key Responsibilities: Build and deploy ML models and AI services using cloud‑based platforms. Implement model pipelines, APIs, and inference services following enterprise standards. Partner with data engineers to ensure high‑quality, scalable data inputs. Support monitoring, performance tuning, and model lifecycle management. Requirements Design, develop, and deploy AI/ML solutions that support Carrier’s digital, engineering, and operations initiatives. Collaborate with data scientists, data engineers, and product teams to productionize models 7 to 8 years of experience Bachelor’s/Master’s in Computer Science, Engineering, Data Science, or related field Python, ML frameworks Cloud AI platforms (GCP / Azure / AWS) MLOps fundamentals, CI/CD, REST APIs SQL, data handling, and model evaluation techniques 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 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. 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. Job Applicant's Privacy Notice: Click on this link to read the Job Applicant's Privacy Notice At Carrier we make modern life possible by delivering groundbreaking systems and services that help homes, buildings and shipping become safer, smarter and more sustainable. We exceed the expectations of our customers by anticipating industry trends, working tirelessly to master and revolutionize them. Our team of approximately 56,000 dedicated individuals continues to mold industry standards by pursuing the latest research and developments to improve the lives of our customers. We’re constantly growing, seeking out talented, likeminded people who are committed to our primary duty: to be the world’s first choice in security, shipping and HVAC technology.

Responsibilities

Build and deploy ML models and AI services using cloud-based platforms while implementing model pipelines and APIs. Collaborate with data engineers to ensure scalable data inputs and manage the model lifecycle through performance tuning and monitoring.