Location: Pune, Mahārāshtra, India

- Job ID: R-10399962
- Category: Technology
- Onsite

Posting Start Date: Posting Start Date: 09-August-2026

- Posting End Date: Posting End Date: 17-August-2026

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 ?

Key Responsibilities 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. 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. Evaluate emerging AI technologies and identify opportunities for business adoption and innovation.

Software Development & Automation

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 capabilities into enterprise platforms.

Performance Engineering & Optimization

Establish performance benchmarks, KPIs, and operational metrics for AI and data systems. Analyze performance bottlenecks and partner with engineering teams to implement optimization strategies. Implement monitoring, observability, and alerting solutions for production AI and analytics workloads. Ensure reliability, scalability, and operational efficiency of deployed AI solutions.

Collaboration & Innovation

Partner with business stakeholders, product teams, architects, data engineers, and developers to deliver AI-driven business outcomes. Present analytical findings and AI recommendations to technical and non-technical audiences. Document data science methodologies, AI architectures, models, and operational procedures. Lead proof-of-concept (POC) initiatives and contribute to enterprise AI and analytics strategy. Stay current on advancements in AI, machine learning, data science, cloud technologies, and industry best practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field. Robust experience in Data Science, Machine Learning, Artificial Intelligence, and Python development. Expertise in statistical analysis, predictive modeling, and data mining techniques. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar technologies. **Hands-on experience with Large Language Models (LLMs), Generative AI, Prom

📌 Ai/ml Expert (Data Scientist & Intelligent Automation) Pune
🏢 Fiserv
📍 Pune