Data Analytics Engineer

Country

India

Location:

Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India

Role - Data Analytics -AI/ML Engineer

Job Location – Hyderabad

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 Summary

Established professional in Data and Analytic Methods who works to achieve day-to-day objectives with moderate impact on work area. Participates in scientific and mathematical principles to collect data across processes and products. Supports in identifying problems, participates in analyzing opportunities through the use of statistical techniques. Prepares datasets and may communicate results to team.

About The Role

Job Description

• Lead the design, development, and deployment of machine learning models and algorithms.
• Manage and mentor a team of data scientists and engineers, fostering a collaborative and innovative environment.
• Collaborate with cross-functional teams to identify business problems and translate them into machine learning solutions.
• Oversee the data collection, preprocessing, and feature engineering processes.
• Conduct experiments and iterate on models to improve performance and accuracy.
• Stay current with the latest research and advancements in AI and machine learning technologies.
• Develop and implement best practices for code quality, testing, and deployment.
• Communicate findings and recommendations to stakeholders and technical teams effectively.
  
  

Specific Responsibilities For This Position Will Be

• Collect data from IoT platform, perform data quality check and filtering techniques
• Organize large-scale data to the required formats for data analysis for different service business use cases.
• Data mining using state-of-the-art methods
• Selecting features, building and optimizing classifiers using machine learning techniques
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Develop tools of visualization and dashboard to illustrate the data analysis results.
• Support the development and implementation of end-to-end cloud-based AI/ML and Data Analytics solutions.
• Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, AWS etc.).
• Take ownership and responsibility of deliverables (might involve little bit of coding as well)
  
  

Required Skills/Education

• Good knowledge of Data science life cycle
• Hands on experience in developing analytics approaches and solutions
• Expertise in Python, AI/ML libraries, ML, DL and problem solving
• Working experience on MLOps on cloud platforms like AWS/Azure.
• Knowledge of GenAI, LLM project implementation.
• Master’s degree in computer science, Statistics, Math, or Engineering with 10+ years of experience
• Ph.D in Thermal, AI/ML/Data Analytics, Statistics, Math, or Engineering is a plus.
  
  

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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