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Capco

ML AI Platform Engineer

Capco is hiring an ML AI Platform Engineer in Bengaluru, Chennai and Gurugram, India. Level rates it ; you can apply on Capco.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Vertex AI, SageMaker and Python among its tools and skills.
  • Capco has 687 other open roles on Level.
  • Posted in the last few days.

AI in this role

Design, optimize, and maintain ML and AI platform solutions for model training and agent development.

vertex-aisagemakerpython
machine-learningdistributed-systemstensor-computingplatform-engineering

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

Role – 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 www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

How we rate this

ML AI Platform Engineer at Capco rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningDistributed SystemsTensor ComputingPlatform EngineeringVertex AISageMakerPython

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where tensor computing was part of your work. What did you do?
  4. Tell me about a project where platform engineering was part of your work. What did you do?
  5. Walk me through how you've used Vertex AI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Machine learning, Distributed Systems, Tensor Computing, Platform Engineering, and Vertex AI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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