Machine Learning Engineer II - Backend

InMobi (Corporate)

InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.

InMobi Advertising

InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.

Glance

Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com.

About the Role

As a Machine Learning Engineer at InMobi, you will be instrumental in designing, developing, deploying, and maintaining cutting-edge ML systems that power our product experiences. We're looking for someone with a passion for elegant problem-solving, rapid experimentation, and owning end-to-end machine learning workflows.

You will work closely with data scientists and cross-functional teams to build robust data pipelines, scalable platforms, and production-ready ML services.

Key Responsibilities

• Model Development & Deployment
• Design, train, and deploy machine learning models with a strong focus on fast, reliable
• Build APIs and microservices to serve ML models at
• Feature development & Engineering
• Design & deliver asks on backend features & efficiently deliver
• Work closely with the analytics, architects & PM to deliver features asks as per
• Identify solutions that can help us improve scalability, minimize bugs and reduce cost
• Understanding of when to escalate questions/issues that arise during development
• Able to efficiently diagnose bugs and issues
• Familiar with various design and architectural patterns
• Pipeline & Infrastructure
• Develop and maintain data ingestion, preprocessing, and model training
• Deploy scalable data and model solutions that improve efficiency across ML
• Collaboration & Integration
• Define and execute end-to-end ML solutions from ideation to
• Monitoring & Research
• Monitor model performance in production, using statistical methods to ensure
• Ownership & Delivery
• Lead or contribute to POCs and full-scale ML feature
• Manage project deadlines and deliverables in an agile

Basic Qualifications

• Bachelor's degree with 4+ years OR Master's degree with 3+ years in Computer Science, Machine Learning, Data Science, or related
• Proven experience in developing and deploying ML models in
• Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, or scikit-learn, spark, java & distributed
• Understanding of statistical methods and hypothesis
• Comfortable working with structured and unstructured
• Experience working in collaborative, cross-functional
• Loves to code and learn new concepts, technologies and frameworks

Preferred Qualifications

• Demonstrated ability to rapidly validate hypotheses through
• Experience in building recommendation systems or similar ML
• Exposure to advertising, ranking, or personalization systems is a significant
• Familiarity with SQL, data warehousing, and distributed data
• Prior research experience or involvement in a data science-focused
• Strong mathematical foundation, particularly in statistics and linear
• Excellent verbal and written communication
• Hands on experience in Databricks is a
• Experience in the ad tech industry a plus

Why Join Us?

• Contribute to a fast-paced and innovative product impacting millions of
• Work alongside world-class AI/ML talent in a collaborative
• Opportunity to shape new product lines powered by machine learning and
• Grow with a team that values creativity, ownership, and continuous

What do we expect from you?

• Experience: 2-5 years development
• Education: E. / B.Tech in Computer Science or equivalent
• Strong development, coding experience in one or more programming languages like OO Programming (Java), Scala, Spark, Expertise in Data Structures, Algorithms, Concurrency.
• Experience of working on Big Data technologies and applications
• Experience in Micro-services Architecture, multi-threading, performance-oriented programming and designing skills
• Good organization, communication and interpersonal skills
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace
• Must be a self-starter who can work well with minimal guidance and in fluid environment
• Provide good attention to details
• Must be excited by challenges surrounding the development of highly scalable & distributed system for building audience targeting capabilities
• Agility and ability to adapt quickly to changing requirements and scope and

Nice to have skills

• Experience of online advertising domain
• Experience of working on massively large scale data systems in production environments
• Experience in leveraging user data for behavioral targeting and ad-relevance
• Experience of Big Data analytics domain
• Experience of building products that are powered by data and insights
• Experience on hosting and deploying application on public cloud like Msft Azure, GCP,

The InMobi Culture

At InMobi, culture isn’t a buzzword; it's 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 https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

Since 2007, InMobi has built the extraordinary. Beyond just technology. It has built a way of working.

Across 16 offices globally, through every pivot and breakthrough, one thing has remained constant: we are builders, dreamers, doers. We are fluid enough to move fast, grounded enough to own outcomes, and human enough to care deeply about the work and about one another.

Culture is at the core of that ethos. It has been co-created by the people who built this company and by those continuing to shape it every day. It lives in how we work, how decisions are made, how teams show up for one another, and how seriously we take the responsibility to build the best.

This is a place where ambition and belonging occupy the same space. Where the bar is high and the support is real. Where freedom comes with trust, and trust comes with accountability. Where you are valued not only for what you do, but for the perspective, judgment and humanity you bring to the work. Where you will be challenged by the work and supported by the communities, passions and experiences that shape who you are beyond your role.

If this sounds like the place you have been looking for, join us.

Find out more here: InMobi Culture