Työnkuvaus:
Uusimmat työtiedot yritykseltä Nordea tehtävään Senior Machine Learning Engineer, MLOps. If the Senior Machine Learning Engineer, MLOps avooin työpaikka kohteessa Helsinki vastaa pätevyyttäsi, lähetä uusin hakemuksesi tai CV:si suoraan päivitetyn Jobkos-työpaikkaportaalin kautta.
Huomioithan, että työpaikan haku ei ole aina helppoa, sillä ehdokkaiden on täytettävä yrityksen asettamat vaatimukset. Toivomme, että uramahdollisuus yrityksessä Nordea tehtävään Senior Machine Learning Engineer, MLOps vastaa tavoitteitasi.
Are you passionate about shaping the future of insurance technology? We are looking for a Senior ML Engineer who can turn machine learning prototypes into reliable production services and help build long-term technical quality in a regulated business environment.
About This Opportunity
Nordea Life & Pension Suomi is a Finnish life insurance Yritys part of the Nordea Group. We focus on life insurance, savings and pension products, and our IT organization is dedicated to these domains. We are a small Yritys with close collaboration, short decision paths, and strong ownership in day‑to‑day work. The role also requires working across shared platforms and processes within the larger Nordea Group. We are building our AI capability alongside data scientists, developers, and MLOps. Technical ownership—including architecture, standards, and engineering direction—is assigned to senior engineers.
What you’ll be doing
- Own the production lifecycle of ML/AI models: serving, monitoring, scaling, and reliability.
- Design and operate model serving infrastructure (e.g., vLLM or equivalent) across hybrid environments.
- Implement ML‑specific monitoring: prediction quality, drift detection, latency, throughput, and cost per inference.
- Manage GPU infrastructure: provisioning, scheduling, and utilization optimization.
- Ensure security, compliance, and reliability for AI workloads in a regulated environment.
Who You Are
- Experience running ML/AI models in production.
- Strong Python skills for production systems.
- Deep understanding of why ML systems fail in practice: drift, data quality, silent degradation.
- Hands‑on experience with Docker & cloud infrastructure, ideally AWS, and bringing ML systems from prototype to reliable production use.
- Familiarity with model serving concepts: latency, reliability, scaling.
- Working proficiency in Finnish and English.
- Master’s or PhD in a related field.
It would be beneficial if you know/have/can
- Infrastructure‑as‑code (Terraform).
- ML monitoring: drift detection, prediction quality, model‑level observability.
- Model serving infrastructure (vLLM or similar).
- GPU infrastructure: provisioning, scheduling, memory management or cost optimization.
- Air‑gapped or isolated environment deployment.
- Data privacy, GDPR and security for AI workloads.
What We Offer
- High autonomy and ownership.
- Real influence on architecture and engineering standards.
- Hybrid working: 60 % onsite and 40 % remote.
- Lunch (on top of salary), sport & culture benefit.
- Banking benefits such as personnel mortgage margin and free daily banking services.
- Modern office above metro station and close to train station.
- Training and education possibilities.
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Tiedot työpaikasta:
- Yritys: Nordea
- Tehtävä: Senior Machine Learning Engineer, MLOps
- Työskentelypaikka: Helsinki
- Maa: FI
Näin lähetät työhakemuksen:
Kun olet lukenut ja ymmärtänyt kriteerit sekä vähimmäisvaatimukset, jotka on mainittu työpaikkailmoituksessa Senior Machine Learning Engineer, MLOps at the office Helsinki yllä, valmistele välittömästi hakuasiakirjat, kuten työhakemus, CV, kopio tutkintotodistuksesta ja muut liitteet. Lähetä hakemus 'Seuraava sivu' -linkin kautta alta.
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