-
Deploja

Machine Learning Engineer

Deploja
Sweden · Full-time · Entry

We now have a new requirement and are looking for a consultant colleague with the qualifications listed below. The position is part of our consulting business, which means you will be employed by us and work either with clients or on internal projects and assignments.

As part of your application, you may be presented to clients/partners as part of the recruitment process. If selected for the assignment, you will be employed by us and work either with clients or on internal projects and assignments as part of our consulting business.

Job Description

Develop AI/ML software products and solutions, including but not limited to explore large data set, feature engineering, data pipelines, test and evaluate model output, deploy the solution for production usage and scale out for a maintainable solution in the comprehensive fashion network.

Design, develop and maintain the large-scale data infrastructure required for the AI/ML projects.

Leverage on understanding of software architecture and software design patterns contributing to architectural decisions, technical roadmap planning, technical documentation, and to write scalable, maintainable, well-designed, and future-proof code.

Develop solutions, components, services and frameworks to address both specific and common needs in AI/ML projects, like feature reuse, model traceability, monitoring, A/B test, versioning, release, and serving of both online inference endpoints and batch inference.

Work in cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders

Your Profile (Must-have Requirements)

  • Have a BSc or MSc degree in Computer Science, Machine Learning or related technical field, or equivalent practical experience.
  • Have 5+ years’ professional experience working in relevant role(s) for a senior level Machine Learning Engineer, ideally with experience in supply chain and demand forecasting business and solutions.
  • A hands-on person, with great software engineering skills, who loves coding, and knows how to apply good software engineering practices, DevOps, testing and SRE principals - also to machine learning and AI projects.
  • Have extensive experience in developing software products that have been successfully deployed to production and scaled in a bigger organization, also ensuring and fulfilling product quality, cybersecurity and performance requirements.
  • Have several years of coding experience in modern programming languages, and strong background in Python programming, i.e. 4+ years, developing back-end services and preferably also using FastAPI.
  • Have great hands-on experience with cloud technologies for cloud solutions and ML development, ideally Google Cloud Platform, and also including Vertex AI.
  • Have solid experience in MLOps practices, developing ML pipelines, data pipelines and deploying ML applications to production.
  • Have a foundational data science background and a strong working knowledge of a variety of AI/ML techniques and experience working with different frameworks.
  • Have experience handling and developing for high volume heterogeneous data (both batch and stream), preferably also including hands-on development in SQL and DBT, and have a solid understanding of cloud data storage technologies and data quality.
  • Have experience from aligning and analyzing requirement; driving design solutions; breaking down work into stories and tasks; communicating with stakeholders and supporting team members; and making sure organizational standards and best-practices are implemented and followed.
  • Familiar with agile ways of working, team collaboration and data-driven development.

Application deadline: 20-04-2025

About Us

We currently employ experienced consultants in areas such as System Development, AI, Machine Learning, Testing, Cloud, Infra DevOps, and IT Project Management.

Working at Deploja is something entirely different from working at an ordinary consulting company—and we are really proud of that. So, what makes us unique?

We simply offer more than just a high salary and greater freedom; that’s just the beginning. With us, you’ll find the work environment and opportunities you deserve. Welcome to Deploja, where the grass is indeed greener!

Vi erbjuder dig följande, Valet är ditt!

🚀 Exciting assignments with our many clients. We focus on long-term projects, which gives you the opportunity to create value for the client while also developing yourself.

🌟 A secure monthly salary – together we’ll agree on a base salary depending on your assignments.

🚗 Company car – we encourage you to choose an electric car for a more sustainable future.

💼 Occupational pension and great opportunities for salary conversion.

🌴 Vacation – Would you like more than 30 days of vacation, perhaps 60 days?

🏥 Private health insurance, accident insurance, and life insurance for increased security.

📚 Skills development – you set your own budget and choose the training you wish to attend.

🕑 Quality of life – Are you struggling to balance everyday life and wish to work a little less while still earning as much, if not more?

We handle applications continuously, and due to the high workload, it's especially important to include a short motivation for the position, explaining how you meet the requirements.

Key Skills

Ranked by relevance

cloud machine learning devops ai google cloud platform design patterns cybersecurity storage python mlops sql
Login to Apply
Posted
Mar 27, 2025
Type
Full-time
Level
Entry
Location
Solna
Company
Deploja

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Deploja
Related

Senior iOS Engineer

2026-05-26

Full-time
Not Applicable
Sweden
IT Services
Engineering
View Job Details
Deploja
Related

Senior Android Engineer

2026-05-26

Full-time
Not Applicable
Sweden
IT Services
Engineering
View Job Details
Deploja
Related

iOS Engineer

2026-05-20

Full-time
Not Applicable
Sweden
IT Services
Engineering