Sopra Steria is looking for a machine learning engineer to develop ML models and data-driven solutions across industries. The work covers event-driven architecture, deep learning, MLOps and Databricks/Microsoft Fabric platforms.
Responsibilities
- ▹Design and set up machine learning solutions with an event-driven approach, integrating messaging services such as Kafka and Pub/Sub
- ▹Deep learning: model training, evaluation and deployment
- ▹Set up and optimize MLOps pipelines: continuous integration, deployment and monitoring of ML models
- ▹Data handling and modelling: data collection, preprocessing and transformation for ML solutions
- ▹Build scalable and maintainable ML solutions on modern data platforms such as Databricks and Microsoft Fabric
- ▹Understand customer needs and deliver solutions that create clear value for customers
Requirements
- ▹Higher education in IT, computer science, machine learning or related fields
- ▹Minimum two years of relevant experience developing and deploying machine learning solutions
- ▹Strong programming skills, especially in Python, and experience with frameworks such as TensorFlow, PyTorch or similar
- ▹Experience with MLOps tools (MLflow, Kubeflow) and production-ready ML solutions
- ▹Experience with cloud platforms such as Azure Databricks, Microsoft Fabric or AWS SageMaker
- ▹Experience with data handling, data modelling and working with large datasets
- ▹Norwegian at minimum B2 level
Soft skills
Curiosity and willingness to learn, sharing knowledgeClose collaboration with customers and colleaguesClear communication and building trustWorking independently while solving problems in a teamInitiative and solution-oriented mindset
What we offer
- ▹Meaningful and varied projects for some of Norway's largest organizations
- ▹Continuous professional and personal development through certification programmes, training and support from professional communities
- ▹Competitive terms and flexible working conditions
About the company
Sopra Steria is Norway's leading consultancy in digitalisation, innovation and sustainability, helping private and public sector customers. It has offices in Oslo, Stavanger, Trondheim, Bergen, Drammen, Hamar, Fredrikstad, Kristiansand and Tromsø.
Languages: Norvég: legalább B2
Education: Felsőfokú végzettség informatika, számítástechnika, gépi tanulás vagy rokon területen
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