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Capco

ML Engineer (Full Stack)

Reposted 7 Hours Ago
Remote or Hybrid
Hiring Remotely in India
Entry level
Remote or Hybrid
Hiring Remotely in India
Entry level
As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.
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Job Title: ML Full stack 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 Description:

ML Engineer


  1. Responsibilities
    1. Design, experiment and deploy AI/ML models with intent in a fast-paced environment
    2. Monitoring and evaluating ML model performance
  2. Qualifications (purposefully light)
    1. BS in Engineering or Computer Science
    2. Comfortable in Python and SQL
    3. Foundational understanding of statistics and probability
    4. Systematic, structured thought process
    5. Experience with ML Frameworks: Scikit-learn, PyTorch
                                        

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