Description

Our client is dedicated to making safe, intelligent mobility a reality. Headquartered in Sweden, they develop a complete, scalable software stack for ADAS and autonomous driving— from sensing to actuation—soon to launch with a major global automaker. Driven by the goal of reducing fatal accidents by 85%, their team of 500+ global engineers combines technical excellence with a shared passion for saving lives. The company values a T‑shaped competence profile, prioritizing a strong mindset, responsibility, and collaboration over pure skillset. They offer a flexible hybrid work environment where ambition, mentorship, and software craftsmanship thrive.

Requirements

To be considered for this expert role, you must demonstrate the following:

The "Expert" Criteria

Proven Experience: You must have a substantial history of previous work‑life experience specifically in MLOps. Theoretical knowledge or certifications alone are insufficient. You have successfully deployed ML models to production in a corporate or industrial setting before.

Technical Core

• Programming: Mastery of Python for both scripting and building complex applications.
• Database Design: Expert‑level skills in SQL design and usage; ability to architect efficient data storage solutions.
• Data Specialization: Deep experience handling Time‑Series Data (e.g., handling windowing, seasonality, high‑frequency ingestion).

Infrastructure & Platform

• Containerization: Advanced proficiency with Kubernetes and OpenShift.
• HPC Schedulers: Hands‑on experience with PBS (Portable Batch System) and integrating it with modern ML workflows.
• API Development: Strong ability in API design (REST/gRPC) for exposing ML capabilities to external systems.

Engineering Fundamentals

• Software Engineering: A strong background in core software engineering principles, algorithms, and system design.
• Data Engineering: Ability to build the "plumbing" that feeds the models, not just the models themselves.

Nice‑to‑Haves

• Experience with specific time‑series databases (e.g., InfluxDB, TimescaleDB).
• Experience with workflow orchestration tools (e.g., Airflow, Kubeflow, Argo).
• Background in High‑Performance Computing (HPC).

Job responsibilities

The team’s mission is to ensure that the DL neural network is at all times ready to be shipped in the product. To achieve that goal, the teams tasks include setting up a continuous training and evaluation pipeline, providing KPI observability, organizing model version and lineage tracking, handling artifacts, as well as being a provider of tools. As a member of this team, you will be a major enabler for DL development.

You will work closely with:

• Teams in the MLOps area, to ensure a flow of models from training to deployment in the car
• DL teams to provide them with tools, services, and automation
• DL backbone teams to build the fundamental training and eval procedures, and ensure training speed and reliability
• DevOps and IT teams for deployments, providing tools, and working with server clusters

In many ways, you will build bridges between all DL areas and surrounding enabler teams.

Your mission and day-to-day tasks

• Ensure continuous training of the main DL model. Define the training schedule, maintain the stability of the training through CI testing, monitor, and improve training speed and resource usage.
• Provide full observability of the model KPIs, including the evolution of metrics over time, per-use-case breakdown, low-level metrics of the PyTorch model, high-level metrics of the deployed and integrated model, etc.
• Enable full traceability from the model deployed in the product to the data, configuration parameters, and code used to train it.
• Provide a centralized platform for experiment tracking.
• Assist DL task teams with workflow automation.

What we offer

Culture of caring

At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, youll experience an inclusive culture of acceptance and belonging, where youll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.

Learning and development

We are committed to your continuous learning and development. Youll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands‑on opportunities to grow personally and professionally.

Interesting & meaningful work

GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, youll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem‑solving skills as you help clients reimagine whats possible and bring new solutions to market. In the process, youll have the privilege of working on some of the most cutting‑edge and impactful solutions shaping the world today.

Balance and flexibility

We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization

We are a high‑trust organization where integrity is key. By joining GlobalLogic, youre placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the worlds largest and most forward‑thinking companies. Since 2000, weve 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.