About Info Edge India Ltd. :

InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms.

Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers.

At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent.

Team: AI Team – Central Function

Title: Lead ML Engineer

Required Educational Qualification: BE/B.Tech in Computer Science/IT/ Electronicsfrom reputed Institute

Desired Experience: 3-7 Years

As a Lead AI Engineer you will:

- Design and develop a centralized ML platform, including feature store, model registry, experiment tracking, and serving layer.
- Design and own model serving infrastructure, including real-time and batch inference pipelines with SLA-grade reliability.
- Evaluate and implement inference optimization strategies, including quantization, tensor parallelism, vLLM/Triton-based serving, and TensorRT compilation.
- Develop GenAI applicationsleveraging LLMs, RAG, tool calling, agentic workflows, and knowledge retrieval systems.
- Establish MLOps best practices, including CI/CD for ML, model versioning, drift detection, and automated retraining pipelines.
- Design and maintain automated load-testing pipelinesto benchmark model performance under peak and spike traffic conditions.
- Implement advanced deployment strategiessuch asshadow testing to evaluate new model versions on live traffic without impacting user experience.




- Partner with Data Scientiststo productionize models by translating prototype code into scalable, maintainable production services and providing actionable feedback on infrastructure and engineering constraints.
- Collaborate with Platform, DevOps, and Product Engineering teamsto embed ML capabilitiesinto the product stack.

Required Skills:

- Robust Python programming skills with experience building production-grade applications.
- Hands-on experience building and deploying ML/AI systems in production environments.
- Production experience with LLMs or large-scale deep learning models.
- Experience with serving frameworks such as vLLM, Triton Inference Server, TorchServe, or BentoML.
- Experience with inference optimization techniquesincluding ONNX, TensorRT, quantization (INT8/FP16), Experience with MLflow, Kubeflow, or similar experiment tracking and pipeline orchestration tools.
- Basic understanding of Data Science concepts, including classification, regression, clustering, ranking methods, and evaluation metrics.
- Hands-on experience working with Vector Databases such as Milvus or Chroma.

Preferred Skills :

- Hands-on experience with feature stores (Feast, Tecton, or custom implementations).
- Experience with data streaming technologies such as Kafka or Kinesis for real-time ML.
- Familiarity with LLM fine-tuning and PEFT techniques (LoRA, QLoRA).
- Experience with LangChain, LangGraph, LlamaIndex, or similar GenAI frameworks.
- Understanding of model safety, fairness, and responsible AI principles.

Why Join us: This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast-paced environment and are ready to enhance their skills by learning something new. Being a part of the Info Edge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing.

To learn more about Info Edge visit :- http://www.infoedge.in/

📌 Lead ML Engineer (Noida)
🏢 Info Edge
📍 Noida