Architect, AI CoE

5 days ago

bangalore, India Carrier Full time

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.

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