ML Engineer (Full Stack)

Job description

**Job Title: ML Full stack Engineer Exp : 7 to 12yrs** **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***](https://avtarinc.com/what-we-do/enrich-diversity/best-companies-for-women/)*. 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** Python, ML Frameworks: Scikit-learn, PyTorch,Integration Engineer, integration specialist, integration consultant, API, AWS, Python ML + Python+React+AWS **Responsibilities:** Design, experiment and deploy AI/ML models with intent in a fast-paced environment Monitoring and evaluating ML model performance **Qualifications:** BS in Engineering or Computer Science Comfortable in Python and SQL Foundational understanding of statistics and probability Systematic, structured thought process Experience with ML Frameworks: Scikit-learn, PyTorch