Über diese ERDS-MJ - Gen AI Engineer Stelle bei Capco
Job Title: Gen AI 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:
Role: Data Engineer
Location : Bangalore
| Key responsibilities |
| 1. Design, develop, and deliver AI, Generative AI, and agentic AI use cases that improve operational efficiency, reduce cycle time, and enhance customer/colleague experience. |
| 2. Partner with cross-functional teams (Operations, Product, Technology, Risk, Compliance, Data) to identify high-value opportunities, translate them into requirements, and deliver scalable AI solutions that reduce manual effort and operational risk. |
| 3. Establish and implement data & AI governance to ensure data quality, integrity, security, model risk controls, and responsible AI practices across the solution lifecycle (build, test, deploy, monitor). |
| Qualifications / skills |
| 1. Generative AI expertise: Strong understanding of GenAI concepts and practical experience delivering solutions using LLMs, OCR, and/or RAG (prompting, evaluation, grounding, retrieval design, and productionisation considerations). |
| 2. Technical depth: Proficiency in Python and hands-on experience with ML models, NLP techniques, and deep learning (model development, fine-tuning/embedding approaches, evaluation, and MLOps fundamentals). |
