Fiserv
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Pune · On-site · 1-3 Yrs · Aug 12
Financial Transaction Processing · 10000+ Employees · Milwaukee, US
Fiserv, Inc. (NASDAQ: FISV), a Fortune 500 company, moves more than money. As a global leader in payments and financial technology, the company helps clients achieve best-in-class results through a commitment to innovation and excellence in areas including account processing and digital banking solutions; card issuer processing and network services; payments; e-commerce; merchant acquiring and processing; and Clover®, the world’s smartest point-of-sale system and business management platform. Fiserv is a member of the S&P 500® Index, one of TIME Magazine’s Most Influential Companies™ and one of Fortune® World’s Most Admired Companies™. Visit fiserv.com and follow-on social media for more information and the latest company news Established in 2005, Global Services works across solution development, testing, deployment, product engineering and management, and key processes across the enterprise. Operating in India through five global delivery centers at Bengaluru, Chennai, Gurugram, Noida, and Pune, our 7000+ associates support clients across the world. Our teams offer a complete spectrum of application development and management services across platforms and regions, IT infrastructure services, operations management, product implementations, testing, professional services, intelligent automation, data analytics and AI, market intelligence, cyber security services, and audit and risk management. We also offer shared services such as Integrated Business Solutions, Risk Assurance and Finance Shared Services to support key processes across the enterprise. We have specialized Centers of Excellence across multiple areas – 1. Product Management that co-owns product strategy and vision, the teams collaborate on defining roadmaps, influencing go-to-market approach, and articulating key differentiators. 2. Data Analytics team delivers advanced data engineering, and AI-driven business insights to power informed decisions for business outcomes. 3. Clover Engineering Center drives innovations across the product suite which helps small businesses through tailored business management. 4. Artificial Intelligence center hub drives adoption of responsible AI, enabling automation, personalization, and intelligent solutions. 5. Cyber Security team ensures proactive risk detection, incident response, and enterprise-wide security resilience.
Hiring: Engineering
What employees say
+ Gym Adequate Infra Nearest to the Metro Station Subisidized Food
− Poor Salary Worst Leadership No Job Security Micro-mangement Sapience 8-hr monitoring tool for employees to keep them glued to the system.
More reviews on the company profile.
Interview experience · Intern
randomly teams were formed, hackathon was conducted. we were allowed to use any agentic ai of our choice. we had to present the app we made. the interview was solely based on the hackathon product. problem statement was
Average difficulty · Chennai · 522 reports
More interview insightsJob description
Overview
AI/ML Expert (Data Scientist & Intelligent Automation) || Pune
Responsibilities
- Analyze large and complex datasets to uncover trends, patterns, anomalies, and actionable business insights.
- Develop forecasting, classification, clustering, recommendation, and optimization models.
- Design and measure experiments, evaluate outcomes, and communicate findings to business stakeholders.
- Create dashboards, reports, and visualizations to support decision-making and operational improvements.
- 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.
- Collaborate with engineering and business teams to operationalize machine learning solutions.
- Support MLOps initiatives, including model deployment, monitoring, and lifecycle management.
- 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.
- 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.
- Collaborate with development teams to embed AI and analytics capabilities into enterprise platforms.
- Design and execute load, scalability, stress, and performance testing for applications, APIs, AI models, and data processing pipelines.
- 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.
- 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.
Qualifications
- 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 ?
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field.
- Strong experience in Data Science, Machine Learning, Artificial Intelligence, and Python development.
- Expertise in statistical analysis, predictive modeling, and data mining techniques.
- Hands-on experience with Large Language Models (LLMs), Generative AI, Prompt Engineering, RAG, and AI Agents.
- Strong programming, problem-solving, and analytical skills.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Knowledge of MLOps, DevOps, CI/CD, and AI model governance frameworks.
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
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