Architect, AI CoE
Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103
Carrier
Carrier is the global leader in sustainable healthy buildings, HVAC, commercial and transport refrigeration solutions. Learn more about Carrier Corporation.Country:
IndiaLocation:
Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103Role: Architect, AI CoE
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
We are seeking a seasoned AI Center of Excellence (COE) Lead with extensive experience in Data Science and Solution Architecture, totaling 15+ years in IT, with a specialization in Generative AI and AI/ML. As a technical leader, this person will technically oversee a team of experts, driving the development and deployment of cutting-edge AI solutions. This role will be pivotal in shaping our AI strategy, fostering innovation, and ensuring the delivery of high-impact solutions to our clients.
Key Responsibilities:
As an Architect, AI CoE,
- Technical Leadership: Lead the COE for Generative AI and AI/ML, providing strategic direction and technical oversight to ensure the successful execution of AI projects from inception to deployment.
- Solution Architecture: Define and document technical architectures, non-functional requirements, and technical solutions for AI/ML initiatives, including RFPs and project proposals from internal teams
- AI Strategy and Innovation: Drive innovation in Generative AI applications, leveraging both open-source and cloud services to create transformative solutions for our clients.
- Responsible AI Implementation: Champion ethical AI practices, implementing frameworks for data and concept drift detection, model interpretability (Explainable AI), and fairness in AI algorithms.
- Team Leadership and Development: Mentor and upskill team members, curating training materials, and conducting technical sessions to foster a culture of excellence and continuous learning within the COE.
- Stakeholder Management: Collaborate with sales and business development teams to translate complex technical concepts into compelling business value propositions during end user engagements.
- AI/IoT Product Development: Lead end-to-end solution design, including the development of new assets, accelerators, and service lines to drive business growth and future-proof our AI capabilities.
Requirements
We are looking for people who are
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree preferred.
- 7+ years of experience in data science, machine learning, and predictive analytics, with a focus on supply chain and operations.
- Strong proficiency in Python and PySpark for data manipulation, analysis, and modelling. Experience with libraries such as Pandas, NumPy, TensorFlow, and PyTorch is highly desirable.
- Solid understanding of convolutional neural networks (CNN) and deep learning techniques for anomaly detection, forecasting, and revenue optimization.
- Experience working with large-scale datasets and distributed computing frameworks for processing and analysing big data, such as Hadoop, Spark, and Databricks.
- Proven track record of developing and deploying data science solutions in production environments, with a focus on delivering measurable business impact and value.
- Excellent communication skills and ability to effectively collaborate with cross-functional teams, including business stakeholders, data engineers, software developers, and product managers.
- Strong analytical and problem-solving skills, with a passion for using data-driven approaches to solve complex business problems and drive innovation.
- Experience in IoT product development and edge computing solutions.
- Familiarity with MLOps practices for model monitoring, retraining, and CI/CD pipelines.
- Excellent leadership skills with a track record of managing and developing high-performing technical teams.
Benefits
We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
- Enjoy your best years with our retirement savings plan
- Have peace of mind and body with our health insurance
- Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme
- 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI strategy Architecture Big Data CI/CD Computer Science Databricks Deep Learning Engineering Generative AI Hadoop Machine Learning Mathematics MLOps NumPy Open Source Pandas Pipelines Privacy PySpark Python PyTorch Responsible AI Spark Statistics TensorFlow
Perks/benefits: Career development Flex hours Health care Insurance Parental leave
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