Machine Learning Engineer II - Backend

Machine Learning Engineer 

Location: [Bengaluru] 
Team: Machine Learning Engineer 
Experience Level: Mid (3–5+ 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. 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 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 

• Bachelor's degree with 4+ years OR Master's 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. 

• Opportunity to shape new product lines powered by machine learning and AI. 

• 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. / B.Tech 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.