Computer Vision Deep Learning Engineer IRC283302

Description
The client's purpose is to make safe and intelligent mobility real, for everyone, everywhere. The company develops the complete software stack for advanced driver assistance systems and autonomous driving, from sensing to actuation. Their focus is to build a single, cutting-edge software platform in order to serve various levels of autonomy and offer unequaled scalability at the same time. The head office is in a major tech hub in Sweden. The client's first self-driving deployment will be launched on the next-generation vehicle platform from a major car manufacturer.

The company believes that self-driving cars, when a reality, are estimated to reduce fatal car accidents by more than 85%, saving over 50,000 lives from human-error-related accidents each year. They feel this is a goal worth pursuing.

Their mission is powered by a belief that technology, software, tools, and datasets would not mean much without the best people behind them. The team consists of some five hundred of the best engineering minds globally, stationed across two continents, who collaborate with a shared passion: to bring autonomous driving to the streets for real and create a safer journey for everyone. This is part of the client's culture and how they work, develop, and grow together.

The company has a flexible and modern approach, happy to offer its employees the possibility of a combination of work at the office and from home. Beyond a person's skillset, they believe a strong mindset will take them even further. With a genuine team-playing attitude and a high feeling of responsibility and thoroughness, individuals can quickly thrive and grow in their roles. The client makes space for ambition and encourages team members to mentor others by sharing their knowledge in software craftsmanship.

They strive for a T-shaped competence profile for all team members, so every member must be open to working on all topics relevant to the team while still fostering their special expertise.

Requirements
We are looking for an experienced AI & Computer Vision Engineer to design, implement, and deploy advanced deep-learning solutions for real-world perception tasks. The ideal candidate combines strong ML and software-engineering foundations with hands-on expertise in Deep Learning for Vision, MLOps, and emerging GenAI / multimodal technologies

Required:

• Master's / Ph.D. in Computer Science, Data Science, Applied Mathematics, or a related field.
• 5+ years of experience building and deploying ML or CV systems in production.
• Proficiency in Python and the ML Stack (NumPy, Pandas, PyTorch / TensorFlow).
• Strong understanding of probability, linear algebra, and optimization relevant to ML algorithms.
• Proven experience in fine-tuning and optimizing vision models (YOLO, SSD, ViT, SAM).
• Expertise in Transformer-based architectures for vision tasks and their temporal extensions.
• Experience with spatio-temporal deep learning for video understanding.
• Hands-on knowledge of sensor fusion techniques and multi-modal data integration (camera, LiDAR, radar, IMU data streams).
• Experience with cloud ML platforms (AWS SageMaker, Azure ML, Google Vertex AI).
• Hands-on use of containerization and orchestration tools (Docker, Kubernetes).
• Working knowledge of MLOps concepts and lifecycle automation.
• Solid software-engineering background (Git, testing, CI/CD, code reviews).
• Excellent analytical, communication, and teamwork skills.

Preferred:

• Commercial experience in object detection, segmentation, and 3D vision projects.
• Exposure to synthetic data generation and simulation pipelines (AirSim, UE, Blender).
• Familiarity with GenAI concepts, multimodal LLMs, and prompt-based CV integration.
• Contributions to open-source ML / CV projects or published research papers.

Job responsibilities

• Design, train, and deploy Computer Vision models (detection, segmentation, tracking) using state-of-the-art architectures (YOLO, ViT, SAM, CLIP).
• Develop spatio-temporal deep learning architectures using Transformer-based models for video understanding and temporal reasoning.
• Optimize inference for real-time performance on edge and embedded systems in unmanned/autonomous applications.
• Build and maintain synthetic-data pipelines to enhance training datasets.
• Collaborate with software, data, and DevOps teams to ensure scalable production integration.
• Apply MLOps best practices for experiment tracking, automation, and reproducibility.
• Support pre-sales PoCs through technical guidance and feasibility evaluation.
• Explore large vision–language model integration and prompt-driven workflows.

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, you'll experience an inclusive culture of acceptance and belonging, where you'll 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. You'll 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, you'll 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 what's possible and bring new solutions to market. In the process, you'll 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, you're 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 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.