Machine Learning Engineer

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 and maintain AI/ML solutions, including exploring large datasets, feature engineering, building data pipelines, testing and evaluating model outputs, and deploying solutions for production use in a scalable manner.

Design and develop the large-scale data infrastructure needed for AI/ML projects.

Contribute to architectural decisions and technical roadmaps while ensuring code quality, maintainability, and scalability.

Develop reusable components and frameworks that address common needs in AI/ML, such as model traceability, monitoring, versioning, and online/batch inference serving.

Collaborate with cross-functional teams including engineers, data scientists, and business stakeholders to build and enhance our AI ecosystem.

Your Profile (Must-have Requirements)

• A BSc or MSc degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• 5+ years of professional experience in relevant roles for a Senior Machine Learning Engineer, with a strong focus on AI/ML development.
• Strong software engineering background with hands-on experience in coding, DevOps, testing, and Site Reliability Engineering (SRE) principles, applied to AI/ML projects.
• Proven experience developing and deploying software solutions to production in large-scale environments, ensuring product quality, cybersecurity, and performance.
• Proficiency in modern programming languages, particularly Python (4+ years), with experience in back-end development and familiarity with FastAPI.
• Expertise in cloud technologies, especially Google Cloud Platform (GCP) and Vertex AI, for cloud-based ML development.
• Solid experience with MLOps practices, including developing ML pipelines and deploying applications to production.
• A strong data science background with proficiency in various AI/ML techniques and frameworks.
• Experience with high-volume heterogeneous data (both batch and stream), with expertise in SQL, DBT, and cloud data storage technologies.
• Experience with requirement analysis, solution design, breaking down work into tasks, and collaborating with stakeholders to ensure implementation of organizational standards and best practices.
• Familiarity with agile working methodologies and a strong focus on data-driven development.
  
  

Application deadline: 30-03-2025

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.