Machine Learning Engineer · Bengaluru

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.