Headline

Senior Machine Learning Engineer @ Haleon | Building Scalable AI Solutions

About

As a Senior Machine Learning Engineer at Haleon, I focus on building and scaling ML and AI systems in production, with expertise in MLOps, GenAI, and agentic RAG. My work emphasizes delivering reliable ML infrastructure and AI solutions across cloud platforms, including Azure, GCP, and Databricks, to support global teams. With an M.Sc. in Physics from IIT Kanpur, my career has spanned roles in machine learning engineering, AI platform development, and computer vision applications. I am motivated to contribute to impactful AI innovations and scalable solutions that empower organizations and drive meaningful outcomes.

Location

Bengaluru

AI stack

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claudecode

Work experience

Senior Machine Learning Engineer at Haleon, May 2026 - Present · 4 mos, Bengaluru, Karnataka, India, Senior Machine Learning Engineer with 5+ years building and scaling ML/AI systems in production. Experienced in MLOps, GenAI, AI Agents, and Agentic RAG across cloud platforms i.e Azure, GCP and Databricks. Focused on delivering reliable ML infrastructure and AI solutions used by global teams.

Machine Learning Engineer at Haleon, Apr 2024 - May 2026 · 2 yrs 2 mos, Bengaluru, Karnataka, India, Led the design and deployment of enterprise-scale GenAI and agentic AI platforms, including a secure Haleon GenAI Assistant leveraging Azure OpenAI, RAG, semantic search, and modular agent frameworks. Owned end-to-end MLOps and ML infrastructure, enabling scalable CI/CD, Kubernetes-based deployments, and cloud-native microservices. Delivered federated search and RAG-ready document intelligence solutions across multiple business domains with measurable impact. Recognized with multiple Global Employee Recognition awards for driving GenAI innovation, platform reliability, and cross-team impact.

Machine Learning Engineer at CARS24, Sep 2021 - Apr 2024 · 2 yrs 8 mos, Gurugram, Haryana, India, Worked on end-to-end machine learning solutions for large-scale, consumer-facing systems, focusing on data-driven decisioning and model deployment. Built and optimized ML pipelines for production use, collaborating closely with product and engineering teams to translate business problems into scalable ML solutions. Gained strong experience in model lifecycle management, data preprocessing, experimentation, and performance monitoring in a high-throughput environment. This role laid the foundation for my later work in production ML, MLOps, and platform engineering.

Computer Vision Software Engineer at DeepSight AI Labs Pvt Ltd, Jun 2021 - Sep 2021 · 4 mos, Gurugram, Haryana, India, • Object detection, Object tracking and Video Surveillance using Deep Learning • Built direction based entry-exit, Object Counting Feature using DeepSort • Tflite model conversion of DeepSort with implementation on Raspberry PI

Artificial Intelligence Engineer at DocBot, Apr 2021 - May 2021 · 2 mos, Remote, • Built Mathematical formulation for symptoms recommendation • Worked on Data Analysis and Built random Datasets for Rec_Systems • Built an adaptive approach for symptoms recommendation

Machine Learning Researcher at Shiv Nadar University, Aug 2020 - Oct 2021 · 1 yr 3 mos, Noida, Uttar Pradesh, India, • Teaching Assistant in "Computational Physics Using Python" • Advance knowledge of DL algorithms such as ANN, CNN, RNNs and LSTMs. • Knowledge of Computer Vision techniques such as Image Classification, Object detection, tracking, Semantic and Instance Segmentation • Attended conference on Computer Vision and Pattern Recognition

Education

M.Sc, Physics, Indian Institute of Technology, Kanpur

Bachelor of Science Hons., Physics, Maharshi Dayanand University (MDU), Rohtak