AI Architect

Навыки

• A/B-тесты
• AI-агенты
• AI-инструменты в работе
• Проектирование архитектуры
• AWS
• Azure
• Big Data

О компании и продукте

• 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.
• 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.
• 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.
• Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

Задачи

• AI/ML Solution Architecture
• 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
• Model Development & Experimentation
• 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
• Production AI/ML Systems
• 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
• AI Guardrails & Safety
• Implement guardrails, safety frameworks, and compliance controls for AI/ML systems
• ensure models meet regulatory requirements, fairness standards, explainability requirements, and business risk tolerances
• Responsible AI adoption
• Collaborate with stakeholders to ensure responsible AI practices are adopted at scale, with a clear definition of metrics and benchmark for the same
• Support for AI Use Cases
• 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
• Drive adoption of AI/ML solutions across business units
• translate business problems into AI/ML opportunities
• work with product teams to package AI/ML capabilities into scalable products and services
• Model Monitoring & Governance
• Implement monitoring frameworks for model performance drift, data drift, and business metrics
• establish governance processes for model versioning, approval, and retirement
• Stakeholder Engagement
• Build and maintain strong relationships with stakeholders across the organization, including business leaders, technical teams, and compliance functions

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