• 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.

Role Description Du bist Wegbereiter:in für die KI-Zukunft unserer Kunden. Dabei bringst du Menschen und künstliche Intelligenz erfolgreich zusammen. Du entwickelst maßgeschneiderte Trainings und Coachings, die Fach- und Führungskräfte dabei unterstützen, KI-Tools wie ChatGPT, Claude oder Copilot effektiv in ihren Arbeitsalltag zu integrieren. Weiterhin schaffst du sichere Experimentierräume, in denen Teams ohne Berührungsängste die Möglichkeiten von KI entdecken können. - Du identifizierst konkrete KI-Anwendungsfälle und entwickelst diese gemeinsam mit den Fachbereichen unserer Kunden weiter. - Du gestaltest individuelle Lernpfade, die perfekt zu den Vorkenntnissen der Teilnehmer:innen passen. - Du bietest praktische Unterstützung bei der Implementierung und stehst als Ansprechpartner:in für Troubleshooting zur Verfügung. - Du vermittelst Prompt Engineering-Expertise und hast ein hohes Verständnis von Unternehmensprozessen. - Du förderst eine positive Fehlerkultur und sicherst den Transfer von Schulungsinhalten in die praktische Anwendung. - Du sammelst kontinuierlich Feedback und verbesserst dadurch nachhaltig die KI-Kompetenz im Kundenumfeld. Benefits - Bei uns zählst du als Mensch mit individuellen Stärken und Zielen. - Starre Strukturen waren gestern. Du willst aktiv gestalten? Wir setzen auf echte Agilität und verteilte Führung. - Lebendige Startup-Kultur oder stabile Konzern-Struktur? Bei uns musst du dich nicht entscheiden. - Home-Office? Check! Arbeiten im Ausland? Check! Day Offs bei Bedarf? Check! - Wir leben Flexibilität im Alltag und eine konsequente Vertrauenskultur. - Unser herausragendes betriebliches Gesundheitsmanagement wurde mit dem Corporate Health Award prämiert. - Neben einem attraktiven Fixgehalt wartet eine gemeinschaftliche Beteiligung am Unternehmenserfolg auf dich. - Genug Benefits, um ganze Papyrusrollen zu füllen. Qualifications - Du willst wachsen statt stillstehen und bringst den Mut mit, gemeinsam mit deinem Team unternehmerisch und selbstbestimmt zu agieren. - Du verfügst über tiefes praktisches Wissen im Umgang mit modernen KI-Tools und hast mindestens 3 Jahre Erfahrung in deren Anwendung. - Du besitzt didaktische Fähigkeiten und Erfahrung in der Erwachsenenbildung – idealerweise mit einer Coaching-Grundausbildung oder Train-the-Trainer-Zertifizierung. - Du bist versiert im Prompt Engineering und verstehst es, komplexe Prozesse zu optimieren. - Du zeichnest dich durch hohe Empathie aus und erkennst individuelle Lernbarrieren, um Individuen optimal zu fördern. - Du bringst Change-Sensibilität mit und kannst Menschen auf ihrer persönlichen KI-Reise begleiten. - Du hast einen Bachelor- oder Masterabschluss, idealerweise mit technischem Bezug. - Zertifizierungen in relevanten KI-Tools sind ein großer Pluspunkt. - Sehr gute Deutsch- und Englischkenntnisse runden dein Profil ab.

• 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.