Description

We are looking for a Senior MLOps / Machine Learning Engineer with 6+ years of experience to design, build, and scale our next-generation machine learning infrastructure. In this role, you will bridge the gap between Data Science and Core Engineering, ensuring our predictive models move from experimental notebooks to high-throughput, production-grade systems seamlessly.

This isn't a role for standing up low-traffic inference endpoints; we deal with real-world scale. You will work closely with data scientists to optimize distributed training using Ray, orchestrate complex pipelines via Airflow/Composer, and manage scalable deployments on GCP. If you love deep-diving into Python optimization, writing clean Terraform code, and architecture built for high-volume data and traffic, this role is for you.

Requirements

Seniority: 6+ years of experience in an MLOps, DevOps, or Data Engineering role with a heavy focus on productionizing machine learning models.
Python Mastery: Exceptional Python programming skills with a deep understanding of asynchronous programming, performance profiling, and backend frameworks like FastAPI.
Production ML Scale: Proven track record of deploying and monitoring ML models at scale. You know how to handle high-concurrency traffic, model drifting, and resource optimization.
Cloud & Data Proficiency: Strong expertise in the GCP ecosystem and writing complex, optimized SQL queries for large datasets.
Tooling Agility: Comfortable working across a diverse ecosystem of package managers and frameworks, with a keen interest in adopting high-performance tools (like uv).
Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).

Job responsibilities

Infrastructure & Automation: Design, provision, and maintain scalable ML infrastructure on GCP using Terraform.
Scalable Deployment: Architect and deploy high-throughput, low-latency ML inference endpoints capable of handling heavy production traffic.
Pipeline Orchestration: Build, monitor, and optimize robust data and ML pipelines using GCP Cloud Composer / Apache Airflow.
Distributed Computing: Implement and scale distributed training and data processing workloads using Ray.
MLOps Evolution: Transition our current logging and metadata tracking from native GCP tools toward advanced open-source stacks (e.g., MLflow) as our infrastructure matures.
Collaboration & Standards: Partner with Data Science teams to standardize package management (utilizing uv, Poetry, etc.) and establish best practices for code quality, containerization (Docker), and model reproducibility.

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

AI ML Engineer IRC291763

AI ML Engineer IRC291763