Machine Learning Engineer II - Backend

Overview

Design, develop, deploy and maintain machine learning systems that power InMobi's product experiences, owning end-to-end ML workflows in collaboration with data scientists and cross-functional teams.

What you'll do

• Design, train and deploy machine learning models with a strong focus on fast, reliable performance.
• Build APIs and microservices to serve ML models at scale.
• Design and deliver backend features and asks efficiently, working closely with analytics, architects and PM.
• Identify solutions that improve scalability, minimize bugs and reduce cost.
• Diagnose bugs and issues efficiently, and escalate questions and issues that arise during development when needed.
• Develop and maintain data ingestion, preprocessing and model training pipelines.
• Deploy scalable data and model solutions that improve efficiency across ML.
• Define and execute end-to-end ML solutions from ideation to production.
• Monitor model performance in production, using statistical methods to ensure quality.
• Lead or contribute to POCs and full-scale ML features.
• Manage project deadlines and deliverables in an agile environment.

What you'll need

• 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 developing and deploying ML models in production.
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch or scikit-learn, Spark, Java and 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.
• Experience: 2-5 years of development.
• Education: B.E. / B.Tech in Computer Science or equivalent.
• Strong development and coding experience in one or more programming languages such as OO programming (Java) and Scala, plus Spark.
• Expertise in data structures, algorithms and concurrency.
• Experience working on Big Data technologies and applications.
• Experience in microservices architecture, multi-threading, performance-oriented programming and design.
• Good organization, communication and interpersonal skills.
• Proven performer and team player who enjoys challenging assignments in a high-energy, fast-growing workplace.
• Self-starter who can work well with minimal guidance in a fluid environment.
• Good attention to detail.
• Excited by challenges in developing highly scalable and distributed systems for audience targeting.
• Agility and ability to adapt quickly to changing requirements and scope.

Nice to have

• Demonstrated ability to rapidly validate hypotheses through experimentation.
• Experience building recommendation systems or similar ML systems.
• Exposure to advertising, ranking or personalization systems.
• Familiarity with SQL, data warehousing and distributed data systems.
• Prior research experience or involvement in a data science-focused project.
• Strong mathematical foundation, particularly in statistics and linear algebra.
• Excellent verbal and written communication.
• Hands-on experience in Databricks.
• Experience in the ad tech industry.
• Experience of the online advertising domain.
• Experience working on massively large-scale data systems in production environments.
• Experience leveraging user data for behavioral targeting and ad relevance.
• Experience in the Big Data analytics domain.
• Experience building products powered by data and insights.
• Experience hosting and deploying applications on public cloud such as Microsoft Azure or GCP.

Details

• Location: Bengaluru.