Machine Learning Engineer
Description
We are looking for an experienced Machine Learning Engineer for a long-term consultancy assignment in Malmö with one of the world’s most respected consumer technology companies, recognized globally for its innovation in intelligent devices and operating systems.
You will contribute to large-scale ML systems powering products used by millions of users worldwide within a highly advanced engineering environment.
Start is in ASAP, 1 years limited contract to begin with, Possibility of extension after that.
Key Responsibilities
Model Development: Design, train, and optimize machine learning models for production use.
Architecture & Scalability: Build robust, scalable ML pipelines and data processing systems.
Research & Innovation: Stay ahead of emerging AI/ML trends and integrate cutting-edge techniques.
Collaboration: Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
Mentorship: Guide and review the work of junior ML engineers and data scientists.
Deployment & Monitoring: Implement CI/CD for ML models, ensuring performance, reliability, and fairness.
Required Skills
Technical Expertise:
Strong proficiency in Python, TensorFlow, PyTorch, scikit-learn.
Experience with cloud platforms (AWS, GCP, ) and MLOps tools.
Deep understanding of NLP, Computer Vision, or Recommendation Systems.
Strong grasp of data structures, algorithms, and distributed computing.
Soft Skills: Excellent problem-solving, leadership, and communication abilities.
Strong English and Swedish communication skills.
Preferred Experience
Leading ML projects from concept to deployment.
Working with big data technologies (Spark, Hadoop).
Applying ethical AI and bias mitigation strategies.
This is a full-time consultant position in Malmö through Incluso. Start is ASAP, 1 yearslimited contract to begin with, possibility of extension after that. This role is 100% onsite in Malmö.
Please submit your CV as soon as possible since we will review the applications on an on-going basis.
For more information about this role, please contact Kanika Singhalrecruiter at Incluso.