Machine Learning Engineer II - Backend (AI)

TL;DR

Machine Learning Engineer II - Backend (AI): Designing, developing, deploying, and maintaining cutting-edge ML systems that power product experiences with an accent on fast, reliable experimentation and building APIs/microservices for ML models at scale. Focus on robust data pipelines, scalable platforms, production-ready ML services, and end-to-end ML solutions from ideation to production.

Location: Onsite in Bengaluru, India

Company

hirify.global is a global technology leader in advertising, helping marketers reach over 2 billion people across 150+ countries through an AI and machine learning-powered platform, and shaping AI Commerce with Glance AI.

What you will do

• 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.
• Develop and maintain data ingestion, preprocessing, and model training pipelines.
• Deploy scalable data and model solutions to improve ML workflow efficiency.
• Define and execute end-to-end ML solutions from ideation to production.
• Monitor model performance in production using statistical methods to ensure robustness.

Requirements

• 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, and distributed systems.
• Strong development and coding experience in OO Programming (Java), Scala, Spark, or Python, with expertise in Data Structures, Algorithms, and Concurrency.
• Experience working on Big Data technologies and applications.
• Familiarity with various design and architectural patterns.
• English: B2 required

Nice to have

• Demonstrated ability to rapidly validate hypotheses through experimentation.
• Experience in building recommendation systems or similar ML applications.
• Exposure to advertising, ranking, or personalization systems.
• Familiarity with SQL, data warehousing, and distributed data systems.
• Hands-on experience in Databricks.

Culture & Benefits

• 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.
• Values creativity, ownership, and continuous learning.
• Nurturing and investing in development through continuous learning and career progression via the "hirify.global Live Your Potential" program.
• Committed to providing reasonable accommodations to qualified individuals with disabilities.