Punawale Pune Maharashtra Senior ai engineer Jobs – 981 Open Jobs Today

Senior AI Engineer, AI Engineering
Mastercard —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
3h
Senior AI Engineer
Teradata —Pune, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- Java
- Databases
Quick apply
3d
Senior Hyper Automation (RPA, AI, ML) Developer/Engineer
Bosch Group —Pune, Maharashtra
- Full-time
- Computer Science
- SQL
- Analysis skills
Quick apply
3d
AI Engineer-Senior
EY —Pune, Maharashtra
- AI
10d
AI Engineer / Senior AI Engineer
Blue Matter —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Databases
Senior AI Engineer
Gurucul —Pune, Maharashtra
- Email
- Azure
- Computer Science
- Java
Senior Software Engineer (AI)
Nice —Pune, Maharashtra
- Remote
- Databases
- SQL
- Electrical experience
Senior AI Engineer
Velsera —Pune, Maharashtra
- Full-time
- Remote
- DevOps
- Java
- AWS
- Health insurance
- Paid time off
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Senior AI Engineer - Agentic & Generative AI
SPAR Solutions —Pune, Maharashtra
- Full-time
- System design
- Master's degree
- Presentation skills
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9d
Senior AI Engineer
Onit —Pune, Maharashtra
- Full-time
- Azure
- Master's degree
- AWS
Senior Professional Services Engineer (AI, Chatbot)
NICE —Pune, Maharashtra
- Remote
- Bachelor's degree
- JavaScript
- APIs
Quick apply
Senior Agentic AI Engineer
XBP Global —Pune, Maharashtra
- Full-time
- Azure
- Databases
- AWS
Senior AI Engineer - Career
Equifax —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Java
- Master's degree
- Health insurance
- Paid time off
3d
Senior AI Engineer
AcquireX —Pune, Maharashtra
- Full-time
- Azure
- Master's degree
- Databases
Quick apply
AI Software Engineer - Senior
Cummins Inc. —Pune, Maharashtra
- Azure
- Computer Science
- DevOps
Senior Angular Engineer – AI-First Frontend Development
Deutsche Bank —Pune, Maharashtra
- Full-time
- Master's degree
- JavaScript
- APIs
- Health insurance
Senior Engineer - Operational Excellence (AI Solutions)
Eaton —Pune, Maharashtra
- Azure
- Computer Science
- Master's degree
Senior AI Engineer
bluebenz digitizations pvt ltd —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Senior Engineer, EMS & AI Automation
Parallel Wireless —Pune, Maharashtra
- Full-time
- Software development
- APIs
- AI
Quick apply
Senior AI Engineer
Assent —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Paid time off

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Senior AI Engineer, AI Engineering

Mastercard -
Pune, Maharashtra

Apply Now

Job details

Full-time
3 hours ago

Qualifications

BCS
TensorFlow
Power BI
Azure
Computer Science
Tableau
Information security
Master's degree
SQL
Statistical analysis
AWS
Analysis skills
Bachelor's degree
Machine learning
Neo4j
Deep learning
Natural language processing
Cloud computing
Predictive analytics
Data visualization
AI
Graph databases
Python

Full job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior AI Engineer, AI Engineering

Mastercard’s Business & Market Insights (B&MI) group empowers organizations to achieve growth & innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage.

We are currently looking for a ‘Lead Engineer, Machine Learning Engineering’ for Operational Intelligence Program, within B&MI group. This role will lead ML engineering team to execute on AI/ML strategy for the program that enables business growth, enhances customer experience, and ensures delivery of secure, scalable, and high-performing software solutions. As a technology leader, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team.

Roles and Responsibilities:

Implement multi-agent intelligence frameworks (LangGraph, CrewAI, AutoGen) to enable reasoning, coordination, and adaptive decision-making across specialized AI agents.
Design and operationalize multi-modal AI pipelines combining text, image, tabular, and graph data using transformer-based architectures (BERT, CLIP, LLaVA, T5, Whisper, etc.) for unified intelligence.
Build scalable RAG and Graph-RAG systems integrating vector stores and knowledge graphs (Neo4j, AWS Neptune) to enable contextual retrieval, semantic linking, and entity-aware reasoning.
Develop and productionize transformer-based models for NLP, vision-language understanding, and sequential prediction tasks leveraging Hugging Face, PyTorch, and TensorFlow ecosystems.
Implement advanced Python-based backend services for inference orchestration, async job handling, and distributed data workflows supporting high-throughput AI operations.
Establish end-to-end LLMOps and MLOps pipelines on Databricks (AWS) integrating MLflow, feature stores, model lineage, prompt evaluation, and continuous retraining frameworks.
Apply traditional AI/ML and statistical modeling techniques (regression, clustering, forecasting, ensemble methods) alongside deep learning models for hybrid interpretability and explainability.
Engineer state and memory management subsystems that preserve context, track embeddings, and enable agents to reason temporally across multiple modalities and interactions.
Implement Responsible AI practices—bias detection, explainability dashboards, data ethics checks, and performance governance ensuring fairness and transparency of deployed models.
Continuously research, benchmark, and productionize innovations in multimodal transformers, generative modeling, and agentic orchestration to drive enterprise-scale intelligence and automation.

All About You:

Master’s/bachelor’s degree in computer science or engineering, and a considerable work experience with a proven track-record of successfully leading and managing complex projects/products and delivering to aggressive market needs.

Expert-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions.

Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems.

Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks. Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar.

Strong programming skills in languages such as Python/SQL is a must. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Apply Now

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