ML AI Platform Engineer in Pune, भारत

Job Title: ML AI Platform Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by [Avtar & Seramount]( With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Title: ML AI Platform Engineer

Location: Pune/ Bengaluru/ Mumbai/ Hyderabad/ Gurugram/ Chennai (Hybrid - 2 days a week from office) Experience: Min 5yrs in Python development An Engineer in ML Platform team, will support resolve customer issues , respond to query, perform monthly RCA, identify improvement actions and ensure smooth experience for the customer, minimize issues regularly from the platform. An Engineer in ML Platform team, will understand industry trends , design, enhance, and improve/optimize ML platform solutions for model training and agent development. Visa has an internal platform similar in purpose to parts of Google Vertex AI or Amazon SageMaker. Visa’s ML developers use this platform to train models, run experiments, execute AI workloads, and develop agents. This engineer works on the platform that enables those activities. Technical Skills Skill Expectation Python Very strong hands-on development skills, including debugging, performance optimization, and backend/system-level programming Tensor Computing Good understanding of tensors, tensor operations, memory layout, and execution fundamentals Distributed Systems Hands-on experience with at least one distributed computing framework such as Apache Spark or Ray Systems Engineering Strong understanding of operating systems, processes, threads, memory management, concurrency, and parallel computing Compute Architecture Understanding of CPU, GPU, and AI accelerator fundamentals, including how compute workloads use hardware resources If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit Follow us on Twitter, Facebook, LinkedIn, and YouTube.