Descripción
On behalf of a partner company, Nordic Investin is looking for a Senior Machine Learning Engineer. You are interested in models that perform after deployment, when data shifts, latency appears and users behave differently than the notebook assumed. The partner is moving machine learning capabilities into core products and workflows. You will develop models and the production systems around them, working with data scientists, platform engineers and product teams. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Build and productionise machine learning models in Python. Design feature, training and inference pipelines. Evaluate models against product and operational requirements. Improve monitoring for quality, drift, latency and cost. Create reproducible experimentation and deployment workflows. Guide technical choices between classical ML, deep learning and simpler rules. What you will bring Strong Python and applied machine learning experience. Evidence of deployed models used in a real product or process. Solid software engineering, testing and API development. Experience with cloud compute, containers and data pipelines. Understanding of model evaluation and monitoring. Abil