AI/ML Expert (Data Scientist & Intelligent Automation) || Pune

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title AI/ML Expert (Data Scientist & Intelligent Automation) || Pune Pune Location 5 Days - Work from Office Experience: 5+ Years Key Skills Data Science | Machine Learning | Generative AI | LLMs | GPT | Claude | RAG | AI Agents | Python | Statistics | Predictive Analytics | Data Visualization | Azure AI | Snowflake | SQL | API Development | MLOps | Automation | Performance Testing | Cloud Technologies | Business Analytics What does AI/ML Engineer, Data Scientist & Intelligent Automation Specialist do at Fiserv ? We are seeking a highly motivated AI / Machine Learning Engineer & Data Scientist to design, build, and operationalize advanced analytics, machine learning, and Generative AI solutions that drive business value. This role combines data science, AI engineering, software development, and performance optimization responsibilities. The ideal candidate will leverage data-driven insights, predictive modeling, and modern AI technologies to solve complex business problems, automate processes, and improve customer and operational outcomes.

Data Science & Advanced Analytics Analyze large and complex datasets to uncover trends, patterns, anomalies, and actionable business insights. Perform exploratory data analysis (EDA), data profiling, and data quality assessments. Apply statistical techniques and predictive modeling to solve business challenges. Develop forecasting, classification, clustering, recommendation, and optimization models. Translate business problems into analytical approaches and provide data-driven recommendations. Design and measure experiments, evaluate outcomes, and communicate findings to business stakeholders. Create dashboards, reports, and visualizations to support decision-making and operational improvements. AI & Machine Learning Design, develop, train, fine-tune, evaluate, and deploy machine learning models for enterprise business use cases. Develop scalable AI/ML solutions using industry-standard frameworks and tools. Monitor model performance, accuracy, and drift while implementing continuous improvement practices. Collaborate with engineering and business teams to operationalize machine learning solutions. Support MLOps initiatives, including model deployment, monitoring, and lifecycle management. Generative AI & Intelligent Automation Design and implement Generative AI solutions leveraging foundation models such as GPT, Claude, and other Large Language Models (LLMs). Develop advanced prompt engineering frameworks to optimize AI response quality and business effectiveness. Build Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources and vector databases. Develop agentic AI workflows and intelligent automation capabilities to improve productivity and operational efficiency. Integrate AI services and LLM capabilities into enterprise applications, APIs, and business processes. Evaluate emerging AI technologies and identify opportunities for business adoption and innovation. Software Development & Automation Develop robust, scalable, and production-grade Python applications and automation solutions. Maintain, enhance, and support existing automation frameworks and tools. Build reusable services, APIs, and integration components supporting AI and data science initiatives. Follow software engineering best practices including code reviews, testing, CI/CD, and documentation. Collaborate with development teams to embed AI and analytics