Machine Learning Engineer II - Backend
Machine Learning Engineer II - Backend
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Job Description
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 dcor 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
Machine Learning Engineer
Location: Bengaluru
Team: Machine Learning Engineer
Experience Level: Mid (35 years)
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. Were 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 experimentation.
- Build APIs and microservices to serve ML models at scale.
- Feature development & Engineering
- Design & deliver asks on backend features & efficiently deliver features.
- Work closely with the analytics architects & PM to deliver features asks as per ETA.
- 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 pipelines.
- Deploy scalable data and model solutions that improve efficiency across ML workflows.
- Collaboration & Integration
- Work closely with
- Define and execute end-to-end ML solutions from ideation to production.
- Monitoring & Research
- Monitor model performance in production using statistical methods to ensure robustness.
- Ownership & Delivery
- Lead or contribute to POCs and full-scale ML feature rollouts.
- Manage project deadlines and deliverables in an agile environment.
Basic Qualifications
- Bachelors degree with 4 years OR Masters degree with 3 years in Computer Science Machine Learning Data Science or related field.
- Proven experience in developing and deploying ML models in production.
- Strong proficiency in Python and ML libraries like TensorFlow PyTorch or scikit-learn spark java & distributed systems.
- Understanding of statistical methods and hypothesis testing.
- Comfortable working with structured and unstructured data.
- Experience working in collaborative cross-functional teams.
- Loves to code and learn new concepts technologies and frameworks
Preferred Qualifications
- Demonstrated ability to rapidly validate hypotheses through experimentation.
- Experience in building recommendation systems or similar ML applications.
- Exposure to advertising ranking or personalization systems is a significant plus.
- Familiarity with SQL data warehousing and distributed data systems.
- Prior research experience or involvement in a data science-focused role.
- Strong mathematical foundation particularly in statistics and linear algebra.
- Excellent verbal and written communication skills.
- Hands on experience in Databricks is a plus.
- Experience in the ad tech industry a plus
Why Join Us
- Contribute to a fast-paced and innovative product impacting millions of users.
- Work alongside world-class AI/ML talent in a collaborative environment.
- Grow with a team that values creativity ownership and continuous learning.
What do we expect from you
- Experience: 2-5 years development experience.
- Education: B.E. / in Computer Science or equivalent
- Strong development coding experience in one or more programming languages like OO Programming (Java) Scala Spark Python. 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 priorities.
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 AWS.
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.
Employment Type
Full Time
