Capco - AI Architect - GenAI/Machine Learning in Bangalore, भारत

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 https://jobeax.com/link/n8dm9m6fgvJ6nEc9 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 https://jobeax.com/link/K2uKEcl6Nlws4e3t 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 https://jobeax.com/link/idQncK1ouJpaYL51 Advancement : With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own https://jobeax.com/link/5awFN7BoS76fFnci & Inclusion : We believe that diversity of people and perspective gives us a competitive https://jobeax.com/link/YDJ7hZT82MCwbR6m Summary : We are seeking a hands-on and detail-oriented Lead AI Architect for our team. In this role, you will be responsible for designing, developing, deploying and maintaining robust Machine Learning and Generative AI solutions. You will partner with value streams, businesses, and functions to deliver scalable, production-grade AI systems that drive business https://jobeax.com/link/pHyn6vZ1PO7WNzVz Responsibilities : - Design end-to-end machine learning and AI systems that solve group-wide strategic problems; ensure architecture support scalability, real-time inference, and model governance.- Develop, train, and validate machine learning models using advanced techniques (deep learning, ensemble methods, transfer learning, LLMs, agentic systems); conduct rigorous A/B testing and statistical validation.- Build production-grade AI-ML pipelines including model training, evaluation, deployment, monitoring, and retraining workflows; implement AIOps, MLOps for models & LLMs; ensure model reproducibility and versioning.- Implement guardrails, safety frameworks, and compliance controls for AI/ML systems; ensure models meet regulatory requirements, fairness standards, explainability requirements, and business risk tolerances.- Collaborate with stakeholders to ensure responsible AI practices are adopted at scale, with a clear definition of metrics and benchmark for the same.- Provide guidance and support to value streams, businesses, and functions in the development of their own AI use cases, ensuring alignment with the Group-wide AI Strategy.- Implement monitoring frameworks for model performance drift, data drift, and business metrics; establish governance processes for model versioning, approval, and https://jobeax.com/link/2K3tBVdmQ7rLR3cq Stack & Competencies : - 10+ years of professional experience in end-end AI/ML engineering development, AI/ML architecture design.- Proven track record delivering 3+ ML/AI solutions to production preferably in enterprise or financial services environments.- Experience in deploying Gen AI solutions/LLMs through integration with software applications - Open AI GPT models, Google Gemini, Mistral, etc. and orchestration frameworks like LangChain, LangGraph.- Strong Python proficiency; expertise in designing modular, testable, maintainable ML systems; experience with design patterns and architectural principles. Hands-on experience in building new APIs in enterprise setting using modern, high-performance frameworks like FastAPI.- Hands-on expertise in building & deploying solutions on the public cloud platforms AWS/GCP/Azure etc.; multi-cloud capability a plus.- Hands-on experience with large language models, prompt engineering, fine-tuning, retrieval-augmented generation (RAG), agentic systems, and considerations for production LLM deployments.- Knowledge of model security, adversarial attacks, differential privacy, encryption, secure model serving, and compliance with data privacy regulations.- Knowledge of bias detection methods, fairness metrics, explainable AI techniques, and regulatory requirements around algorithmic transparency and https://jobeax.com/link/QlUydwXNcor8eMB2 : - Highly competent, collaborative, and outcome-oriented, with a strong ability to drive results and navigate complex challenges.- Tenacious and committed to delivering necessary outcomes in alignment with Our mission and purpose.- A strong focus on customers and teammate needs, with a dedication to serving and supporting them in achieving their https://jobeax.com/link/ilgzLQSg2h3s11XJ you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. 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