Staff Engineer I.

InMobi Advertising; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

InMobi Advertising in Bengaluru is looking for a Data Scientist to lead the development of AI/ML systems at the intersection of classical machine learning, GenAI, and agentic AI. The ideal candidate will have over 8 years of experience in building LLM-powered applications and a strong engineering background. Responsibilities include leading the design of AI systems, applying advanced ML techniques, and collaborating with cross-functional teams. A Bachelor's/Master's degree in a relevant field is required.

Qualifications

• 8+ years of industry experience in ML/Data Science with deep proficiency in Python.
• Hands-on experience with LLMs and agentic/autonomous ML systems.
• Strong problem-solving and analytical skills.

Responsibilities

• Lead the experimentation and design of agentic AI systems.
• Apply LLMs and multimodal generative models for semantic understanding.
• Document designs and best practices to promote knowledge sharing.

Skills

AI/ML Engineering

Python

LLM

RAG

Agentic AI

MCP

REST API

Education

Bachelor’s/Master’s in relevant field

Tools

PyTorch

TensorFlow

Scikit-learn

Big data (Spark, Hadoop)

Cloud platforms (Azure, AWS, GCP)

Job description

What You Will Be Doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, GenAI, and modern agentic AI systems with a strong engineering appetite. You will build and deploy intelligent AI/ML systems that will help transform the business process across the core. This role blends deep ML craftsmanship with forward‑looking innovation in autonomous/agentic systems.

Your Responsibilities Will Include

• Lead the experimentation, design and build of agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
• Apply LLMs, embeddings, retrieval‑augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
• Design intelligent agents that can automate repetitive decision‑making tasks—e.g., candidate generation tuning, feature selection, or context‑aware content curation.
• Support POCs/Pilots projects to explore and validate innovative technologies and solutions in the ML/AI space.
• Build and operate machine learning models on diverse, high‑volume data sources for forecasting, classification, and prediction.
• Develop rapid experimentation workflows to validate hypotheses and measure real‑world business impact.
• Design pipelines for data preparation, model training, evaluation, and deployment in collaboration with engineering counterparts.
• Define best practices for monitoring ML model performance using statistical techniques; identifying drifts, failure modes, and improvement opportunities.
• Contribute to ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
• Thrive in a multi‑functional, highly collaborative team environment with engineering, product, business, and creative teams.
• Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
• Document designs, development processes, and best practices to promote knowledge sharing and operational efficiency.

What do we expect from you?

We are seeking candidates with deep expertise in ML and hands‑on experience building GenAI and Agentic AI systems.

Skillset

AI/ML Engineering, Python, LLM, RAG, Agentic AI, MCP, REST API

You Should Have Experience With

• Design, build, and deploy LLM‑powered applications, chatbots, and multi‑agent systems to improve efficiency, accuracy, and decision‑making.
• Implement and customize GenAI and multi‑agent systems using AI frameworks such as LangChain, LangGraph, CrewAI, or similar.
• Create, refine, and maintain prompt templates, chains, and workflows.
• Integrate vector databases (MilvusDB, FAISS, Pinecone, Chroma, etc.) for semantic search and memory.
• Classical ML and deep learning techniques across NLP, clustering, and time series.
• Proficient in deploying ML workflows/models in production systems; continuous monitoring, evaluation, and retraining of models to ensure sustained performance; ensuring model explainability, accuracy, and compliance.
• Big data processing (Spark, distributed data systems) and cloud computing.
• Designing end‑to‑end ML solutions—from prototype to production.
• Stay updated with emerging AI/ML technologies and recommend relevant innovations for the finance domain.
• Drive design reviews, sprint planning, and technical discussions.
• Collaborate effectively with diverse stakeholders, including technical teams and business leaders.
• Adapt to fast‑paced environments and evolving priorities with high energy and autonomy.

Qualifications

• Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
• 8+ years of industry experience in ML/Data Science, with deep proficiency in Python and one or more frameworks: PyTorch, TensorFlow, Scikit‑learn.
• Solid understanding of ML fundamentals, regression, tree‑based models, clustering, and time series.
• Hands‑on experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
• Experience building Agentic frameworks such as LangGraph, AutoGen, CrewAI, n8n or ReACT‑style agents.
• Expertise with algorithms in NLP, Time Series, and Deep Learning, applied on real‑world datasets.
• Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
• Experience with Model Context Protocols (MCPs) — building or integrating MCP tools, servers, or capabilities.
• Comfortable working in cross‑functional teams.
• Strong problem‑solving and analytical skills with the ability to work in agile environments.
• Good understanding of data pipelines, APIs, and cloud platforms (Azure/GCP/AWS).
• Excellent communication skills with the ability to simplify complex technical concepts.

InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.