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Senior Software Engineer (AI)

Senior Software Engineer (AI)

Mastercard

3 - 7 years

15 - 19 Lacs

pune

Posted:2 weeks ago| Platform:

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Skills Required

python ai solutions artificial intelligence pipeline mcp continuous integration microsoft azure machine learning data engineering iot application development data bricks tensorflow computer vision pytorch software engineering api aws ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Overview

Marketing Technology Solutions (MarTS) group is building cutting edge technology solutions for Marketing teams, building sites and apps across multiple channels like web, mobile, IoT etc. Mastercard is looking for strong technical professional to be part of this exciting journey. This position is responsible for providing senior application development and design support within MarTS group. Specifically, this person will provide exceptional application development to all marketing projects. This is a career opportunity to be a senior software engineer for providing global marketing solutions for one of the most well-known brands in the world. Passion, rigour, and drive are required. Provide high quality deliverables within the constraints of budget, scope and time. Design & develop high quality, secure software solutions as per technical requirements and design artifacts.

Role

Design and implement generative AI models and applications for marketing and personalization use cases
Build advanced solutions leveraging Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), tool calling, and LangChain/LangGraph for dynamic workflows
Develop and optimize machine learning pipelines for fine-tuning large language models (LLMs) and other foundation models
Implement content generation systems for text, image, and multimodal outputs
Apply computer vision techniques for image analysis, creative generation, and visual search
Implement evaluation frameworks for GenAI applications, including hallucination detection, bias checks, and quality scoring
Build observability and monitoring solutions for AI systems, including latency, cost tracking, and model performance metrics
Build scalable solutions on cloud platforms (AWS, Azure) and leverage data platforms like Databricks
Integrate AI models into production systems with a focus on performance, security, and compliance
Stay current with the latest advancements in AI/ML research, particularly in generative AI, and apply them to real-world problems
Promote engineering best practices and contribute to a culture of innovation and collaboration.

All About You

Strong hands-on experience in building and deploying generative AI solutions (e g , LLMs, diffusion models, transformers)
Expertise in RAG pipelines, MCP-based integrations, tool calling frameworks, and LangChain/LangGraph
Proficiency in Python and popular AI/ML frameworks such as PyTorch or TensorFlow
Experience with content generation systems (text, image, multimodal) and computer vision models
Experience with evaluation techniques for GenAI (eg, hallucination detection, factuality scoring, bias evaluation)
Knowledge of observability tools for AI systems (eg, monitoring latency, cost, and performance metrics)
Experience with MLOps practices, including model versioning, CI/CD for ML, and monitoring in production
Experience with cloud platforms (AWS, Azure) and data engineering tools like Databricks
Solid understanding of prompt engineering, fine-tuning, and model evaluation techniques
Knowledge of API development and integration of AI models into web or mobile applications
Strong problem-solving skills and ability to work in a fast-paced, high-impact environment
Excellent communication and collaboration skills to work effectively with technical and non-technical stakeholders

Education

: Bachelor or Master's Degree in Computer Science or equivalent

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Senior Software Engineer (AI)