Staff Data Scientist

InMobi Advertisingis a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150 countries and turns real-time context into business outcomes delivering results grounded in privacy-first principles. Trusted by 30000 brands and leading publishers InMobi is where intelligence creativity and accountability converge. By combining lock screens apps TVs and the open web with AI and machine learning we deliver receptive attention precise personalization and measurable impact.

Through Glance AIwe are shaping AI Commerce reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology Glance AI transforms every screen into a gateway for instant personal and joyful discovery. Spanning diverse categories such as fashion beauty travel accessories home décor pets and beyond Glance AI delivers deeply personalized shopping rich first-party data and unparalleled consumer access it harnesses InMobis global scale insights and targeting capabilities to create high impact performance driven shopping journeys for brands worldwide.

Recognized as a Great Place to Work and by MIT Technology Review Fast Companys Top 10 Innovators and more InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank Kleiner Perkins and Sherpalo Ventures InMobi has offices across San Mateo New York London Singapore Tokyo Seoul Jakarta Bengaluru and beyond.

AtInMobi Advertising youll have the opportunity to shape how billions of users connect with content commerce and brands worldwide. To learn more visit

What is the InMobi family like

We are an infectious bunch. Be it the way we rise to challenges the innovative products we create the dreams we chase or the fun we have at work. We are sure that if you meet us you will be infected too. Today we are proud to be the leaders in Mobile advertising and are on an accelerated path of being a leader in enterprise software for marketers. We invite you to free yourself dream big and chase your passion. We are here today because a few of us did just that.

What can we promise

We offer you an opportunity to work on building enterprise platforms that require you to acquire hone and demonstrate your ML and AI skills in designing and solving for complex problems thereby creating software that creates value for our customers in a reliable scalable secure and AI-first manner. At InMobi you get to work on innovative technologies work closely with business teams and grow as an overall technology leader.

Modern work environment flexible schedule and smart creative down-to-earth people. Internal opportunities to move roles and try out bridge assignments with different teams. Food for your soul free meals all days of the week gym or yoga class to flex those biceps cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.

What is the team like

At InMobi Enterprise team we are transforming the way finance sales marketing people and legal functions driving transformative work acrossSales Marketing People and FinancewithML and Agentic AIand were looking for passionate innovators to join us!

What you will be doing

We are looking for a Data Scientist who can operate at the intersection ofclassical machine learningGenAI andmodern 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 systemsthat autonomously observe model performance trigger experiments tune hyperparameters improve ranking policies or orchestrate ML workflows with minimal human intervention.
• ApplyLLMs embeddings retrieval-augmented architectures and multimodal generative modelsfor semantic understanding content classification and user preference modeling.
• Design intelligent agents that can automate repetitive decision-making taskse.g. 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 leadershipblogs 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 building 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 system. Continuous monitoring evaluation and retraining of models to ensure sustained performance. Ensuring model explainability accuracy compliance.
• Big data processing (Spark distributed data systems) and cloud computing.
• Designing end-to-end ML solutionsfrom prototype to production.
• Stay updated with emerging AI/ML technologies and recommend relevant innovations for the finance domain.
• Drive in design reviews sprint planning and technical discussions.
• Collaborating effectively with diverse stakeholders including technical teams and business leaders.
• Adapting to fast-paced environments and evolving priorities with high energy and autonomy.

We value curiosity problem-solving ability and a strong bias toward experimentation and production impact.

Qualifications

• Bachelors/Masters 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.

The InMobi Culture

At InMobi culture isnt a buzzword; its an ethos woven by every InMobian reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values thinking big being passionate showing accountability and taking ownership with freedom guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

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.

Visit to better understand our benefits values and more!