InMobi Advertising is seeking a senior Data Scientist with 8+ years of experience in ML/Data Science to design and build agentic AI systems and GenAI applications. The role involves leading AI/ML experimentation, building LLM-powered applications, integrating vector databases, and deploying ML models in production. Candidates must have strong expertise in Python, ML frameworks (PyTorch, TensorFlow, Scikit-learn), big data technologies (Spark, Hadoop), cloud platforms (Azure, AWS, GCP), and experience with agentic AI frameworks like LangGraph and CrewAI. Responsibilities include designing ML pipelines, monitoring model performance, collaborating with cross-functional teams, and contributing to AI thought leadership. The position is full-time based in Bangalore, India. Benefits include a modern work environment, flexible schedule, free meals, gym/yoga classes, and a family-friendly culture.
What you'll do
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.
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
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 such as candidate generation tuning, feature selection, or context-aware content curation.
Support POCs/Pilots projects to explore and validate innovative technologies and solutions in 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 through 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.
Requirements
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.
Tech stack
PythonLLMRAGAgentic AIMCPREST APILangChainLangGraphCrewAIMilvusDBFAISSPineconeChromaPyTorchTensorFlowScikit-learnSparkHadoopAzureAWSGCPVertex AI
Benefits
Modern work environmentFlexible scheduleFree meals all days of the weekGym or yoga classesCocktails at drink cart ThursdaysFun at work on Funky FridaysBring your kids and pets to workInternal opportunities to move roles and try out bridge assignments with different teams
Apply now
Ready to take the next step in your career? Click the button below to continue to the application process.
