Agentic AI

<p>&nbsp;</p> <p><strong>About Us</strong></p> <p><strong>“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 &amp; Seramount. With our presence across 32 cities across globe, we support 100+ clients across&nbsp;banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.&nbsp;</strong></p> <p><strong>WHY JOIN CAPCO?</strong></p> <p><strong>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.</strong></p> <p><strong>MAKE AN IMPACT</strong></p> <p><strong>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.</strong></p> <p><strong>#BEYOURSELFATWORK</strong></p> <p><strong>Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.</strong></p> <p>&nbsp;</p> <p><strong>CAREER ADVANCEMENT</strong></p> <p><strong>With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.</strong></p> <p><strong>DIVERSITY &amp; INCLUSION</strong></p> <p><strong>We believe that diversity of people and perspective gives us a competitive advantage.</strong></p> <p><strong>MAKE AN IMPACT</strong></p> <p><strong>Job Details</strong></p> <p></p> <div class="ewa-rteLine">AI Engineer:</div> <div class="ewa-rteLine">&nbsp;</div> <div class="ewa-rteLine">Key Responsiblities:</div> <div class="ewa-rteLine">1. System Development: Designing and building AI models, such as neural networks, that learn from data and mimic human cognitive functions</div> <div class="ewa-rteLine">2. Production Deployment: Transitioning research-level ML models into scalable, operational applications via APIs, microservices, or cloud platforms.</div> <div class="ewa-rteLine">3. Data Handling &amp; Training: Selecting, managing, and training models using large datasets, including natural language processing (NLP) and computer vision tasks.</div> <div class="ewa-rteLine">4. Testing &amp; Optimization: