TL;DR

ML Engineer (AI): Building and optimizing scalable, production-ready AI solutions with an accent on MLOps capabilities, feature engineering, and robust monitoring systems. Focus on accelerating time-to-market for business solutions by developing reusable components and ensuring the reliability of ML-driven systems in production.

Location: Bengaluru, India (Hybrid)

Company

%hirify_global% is a global programmatic media partner for marketers and agencies, focused on leading and improving the programmatic industry.

What you will do

Build scalable, production-ready AI solutions that bridge Data Science and Software Engineering.
Develop reusable components to accelerate rapid prototyping and deployment of solutions.
Design and implement monitoring systems to track the performance and reliability of ML-driven solutions.
Improve time-to-market for key business solutions by reducing model training and deployment time.
Socialize MLOps capabilities across the organization by establishing best practices and standards.
Collaborate closely with Data Science, Product, and Engineering stakeholders to ensure seamless deployment and maintainability of ML solutions.

Requirements

2 - 4 years of hands-on experience deploying and monitoring Machine Learning Models in production.
Strong proficiency in Python and familiarity with distributed data processing frameworks like PySpark.
Excellent grasp of the basics of Machine Learning, Statistics, and Probability.
Experience with building scalable ETL pipelines for efficient feature storage, processing, and retrieval.
Experience building and deploying end-to-end model training, inferencing, and retraining pipelines.
Familiarity with standard best practices like version control, CI/CD for code management, unit testing, and quality code standards.

Nice to have

Hands-on experience with distributed data processing frameworks like Ray.
Hands-on experience with designing and maintaining Feature Stores.

Culture & Benefits

Hybrid work environment.
New hire orientation with job-specific onboarding and training, plus internal and global mobility opportunities.
Competitive healthcare benefits, bonus, and performance incentives.
Generous annual PTO, paid parental leave, and two additional paid days for holidays, cultural events, or inclusion initiatives.
Access to employee resource groups designed to connect people across all %hirify_global% regions, drive action, and support communities.
Values-driven culture emphasizing Passion, Determination, Agility, Unite, and Courage.