State Street
Alpha Data Operations - Assistant Manager
- Senior
- Location
- Hyderabad, India
- Job type
- Full-time
- Experience asked
- 4–8 years
- Date
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Capco
ML Engineer (Full Stack)
- Level
- Mid level
- Location
- India
- Experience asked
- 7–12 years
- Pay
- Not disclosedThe employer doesn’t state pay. We never estimate it.
- Last date to apply
- Not statedNo deadline published. Apply early: listings can close any day.
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About this job
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. 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
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