Om tjänsten
About Justera Group
Justera Group AB is a leading Swedish IT consulting firm with great experience specializing in building high-performing technology
teams and delivering end-to-end IT solutions. Led by dynamic female executives, Justera Group focuses on helping businesses
harness the power of digital technologies to continuously evolve in today’s rapidly changing economy. The company has deep
expertise in IT consultancy, software development, and recruitment services, providing clients with purpose-driven, well-trained
consultants who consistently deliver efficient and effective results. Justera Group manages the entire talent lifecycle, from
hiring to ongoing management, ensuring the right fit for each project on time and within budget. With their strong commitment to
quality, collaboration, and client success, Justera Group is a trusted partner for technology innovation across Sweden.
About the Role:
We are seeking a Senior Machine Learning Engineer to join our engineering team in Stockholm. In this role, you will be responsible
for designing, scaling, and maintaining production-grade AI/ML solutions. You will play a pivotal role across the entire machine
learning lifecycle—from optimizing data pipelines and training models to architecting robust MLOps workflows in the cloud.
The ideal candidate brings a blend of rigorous software engineering discipline and deep machine learning expertise, capable of
solving complex algorithmic challenges while ensuring code is maintainable, secure, and highly scalable.
Key Responsibilities:
- Lifecycle Contribution: Actively contribute to all phases of the AI/ML development lifecycle, translating business requirements
into scalable technical solutions.
- Pipeline Optimization: Analyze, troubleshoot, and optimize existing AI/ML applications to improve throughput, latency, and
system performance.
- MLOps & Infrastructure: Design and implement reliable model tracking, testing, and deployment pipelines to ensure stable,
reproducible production environments.
- Architecture & Standards: Apply modern software design patterns, coding standards, and testing methodologies to maximize code
maintainability and data integrity.
- Cross-Functional Collaboration: Translate complex technical details into clear user stories and documentation, maintaining
strong transparency with both technical team members and business stakeholders.
Requirements:
- Education & Experience: Master’s or Bachelor’s degree in Computer Science, Machine Learning, or a highly related technical
field, backed by extensive commercial engineering experience.
- Programming Mastery: Deep, production-grade proficiency in Python, alongside a solid understanding of software development
principles, core algorithms, and data structures.
- Cloud Infrastructure: Solid, hands-on experience with cloud-based development, with a specific focus on Google Cloud Platform
(GCP) stacks.
- MLOps & Version Control: Proven experience with version control systems (Git) and building out structured MLOps environments
(experiment tracking, continuous delivery for ML).
- Problem Solving: Ability to independently navigate high-complexity technical challenges, knowing precisely when to execute solo
and when to collaborate or escalate for efficient resolution.
- Communication: Exceptional communication skills in English, with the ability to lead knowledge sharing and maintain
architectural clarity across teams.