We're looking for a Data Scientist for a Swedish client.

Tasks in this project include:

• Develop tools, frameworks and custom components to address common needs in machine learning platforms, such as model training, model deployments, model observability, versioning, explainability, feature store, security, infrastructure etc.

• Design, Develop, and maintain large scale data and cloud infrastructure required for machine learning projects.

• Working with CI/CD flow where we strive for total automation of bringing code from a developer to production.

• Utilize software engineering to create efficient, scalable solutions for deployment in critical production environments hosted on GCP/Azure.

• Understanding of Large Language Models.

• Leverage your expertise in working with GCP and Azure as a foundation for scaling AI and ML solutions.

Requirements:
• Experience working with open-source technologies like Nvidia Nemo Framework, Mongo, TensorRT, k Serve, K-Native, Apache Kafka etc.

• Experience with CI/CD tools like Jenkins or GitHub Actions.

• Experience of working knowledge on Docker, Kubernetes (k8s) and REST API is a must.

• Have solid experience in MLOps practices, developing ML Pipelines, and deploying ML Models to production.

• Have strong background in Python Programming and hands-on experience in GCP, & Azure.

• Have solid foundations on the DevOps principles and possess hands-on-experience with modern DevOps practices.

• Familiar with agile ways of working, team collaboration, date-driven development, reliable, and responsible experimentation

• Exposure to scalable, highly available, fault tolerance and secure system design and implementation.

Location: Malmö/Helsingborg (onsite 2-3 times/week)
Duration: 01-Sep-2025 - 28-Feb-2026
Last day to offer: 29-Aug-2025
More info tiina.hapuoja@witted.com