• Design, develop and maintain AI/ML solutions for various business units. • Drive end-to-end AI/ML development including data preparation, model development/training, testing and performance monitoring. • Integrate models into workflows to support Operational goals. • Ensure solutions abide by stated organizational policies including data security and privacy. • Monitor model performance and continuously improve accuracy and reliability. • Work closely with operations, client services and IT teams to define automation needs and business requirements. • Translate operational challenges into analytical frameworks and AI solutions. • Present complex insights in clear, actionable language for management, Operations and IT staff. • Support automation initiatives that reduce manual processing and improve efficiency.

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. MAKE AN IMPACT Job Details AI Engineer: Key Responsiblities: 1. System Development: Designing and building AI models, such as neural networks, that learn from data and mimic human cognitive functions 2. Production Deployment: Transitioning research-level ML models into scalable, operational applications via APIs, microservices, or cloud platforms. 3. Data Handling & Training: Selecting, managing, and training models using large datasets, including natural language processing (NLP) and computer vision tasks. 4. Testing & Optimization: Evaluating accuracy, debugging, and improving AI performance to ensure systems run efficiently. 5. Collaboration: Working with data scientists and software engineers to align AI solutions with business objectives. Required Skills and Qualifications: 1. Programming languages: Strong proficiency in Python, Java, or C++. How to use AI tooling to build up capability. Any UI/API automation framework. 2. ML Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn. How to use MCP server. 3. Data & Cloud Tools: Proficiency in SQL, Big Data Technologies, and cloud platforms like AWS SageMaker, Azure ML, or Google Cloud 4. Technical Skills: Expertise in machine learning, deep learning, NLP, computer vision, and algorithm development. 5. Education: Typically requires a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

• Contribute to evaluation frameworks for clinical AI products, including defining acceptance criteria, test plans, clinically relevant rubrics, and performance benchmarks. • Conduct structured sampling reviews of AI-generated outputs, assessing across criteria alignment with ABA principles and BACB ethical standards. • Design and implement monitoring automation in collaboration with engineering, including automated quality checks, alerting thresholds, and drift detection for AI systems. • Contribute to the creation and maintenance of reusable governance artifacts including system cards, monitoring playbooks, evaluation of SOP templates, and risk assessment documentation. • Assist with pre-deployment validation testing for new AI products and features, executing defined testing and results of documentation. • Participate in risk tiering assessments for new and evolving AI products, providing clinical and evaluative perspectives. • Support incident investigation for AI-related issues if/as needed and in alignment with clinical best practice and CR Development Policy. • Collaborate with product management and engineering teams to provide input during product planning and development, ensuring governance considerations are integrated early. • Contribute to the development of evaluation methodology and standards for clinical AI use cases, documenting approaches and refining processes based on findings and emerging best practices. • Contribute to AI literacy and training content for internal teams and customers, drawing on hands-on clinical evaluation experience. • Stay current with developments in AI evaluation methodology, LLM behavior, ABA best practices, and relevant regulatory and ethical standards. • Support CentralReach's thought leadership in responsible AI through contributions to conference presentations, professional publications, or applied research as opportunities arise.

Role Description - Solve advanced mathematical problems across competition math, proof-based mathematics, and quantitative reasoning to generate frontier AI training data. - Evaluate and provide expert feedback on AI-generated mathematical reasoning and proofs. - Develop original, research-grade problems and solutions in areas such as number theory, combinatorics, algebra, real analysis, and probability. - Apply quantitative and statistical methods to assess and improve model performance on mathematical benchmarks. - Collaborate with AI research teams to identify gaps in mathematical reasoning and design targeted training tasks. Qualifications - Demonstrated participation or achievement in elite competitive mathematics (IMO, USAMO, Putnam, or equivalent national/international olympiads). - Deep proficiency across multiple mathematical disciplines including proof-based mathematics, combinatorics, number theory, real and complex analysis, linear algebra, and probability. - Strong quantitative background with experience applying mathematical rigor to research or industry problems (e.g., quantitative finance, theoretical CS, or academic research). - Bachelor's degree or higher in Mathematics, Applied Mathematics, Statistics, or a related field (advanced degree preferred). - Ability to produce precise, well-structured mathematical writing. Requirements - Contract position. - Compensation: $40–$60/hour. - Location: Remote. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome . - For any help or support, reach out to: support@mercor.com . - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.