AIML Expert (Data Scientist & Intelligent Automation) || Pune

Calling all innovators find your future at Fiserv.

Were 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 were involved. If you want to make an impact on a global scale come make a difference at Fiserv.

Job Title

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.

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.
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 capabilities into enterprise platforms.

Performance Engineering & Optimization

Design and execute load scalability stress and performance testing for applications APIs AI models and data processing pipelines.
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

Bachelors or Masters 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.
Experience with machine learning frameworks such as Scikit-learn TensorFlow PyTorch or similar technologies.
Hands-on experience with Large Language Models (LLMs) Generative AI Prompt Engineering RAG and AI Agents.
Experience in data visualization and storytelling using analytical tools and dashboards.
Strong programming problem-solving and analytical skills.
Experience with API development automation frameworks and software engineering best practices.
Knowledge of cloud platforms such as Azure AWS or GCP.


Preferred Qualifications

Experience with Azure OpenAI Azure AI Services Azure Machine Learning or equivalent AI platforms.
Experience with Snowflake Databricks Spark SQL ADF or modern data engineering platforms.
Knowledge of MLOps DevOps CI/CD and AI model governance frameworks.
Experience building enterprise-scale AI analytics and automation solutions.
Familiarity with performance testing tools and application observability platforms.
Exposure to responsible AI model monitoring AI governance and regulatory compliance practices.

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin gender gender identity sexual orientation age disability protected veteran status or any other category protected by law.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.