Senior ML Engineer — Production AI for Time-Series & IoT

Knowit Oy

Helsinki

Hybrid

EUR 65,000 - 73,000

Full time

8 days ago
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Benefits offered by this job

Lunch benefits
Commuting benefits
Sports & culture benefits
Extensive occupational healthcare
Accident insurance
Work equipment of your choice
Remote work from abroad
Recruitment bonuses
Sales lead bonuses

Job summary

Knowit Oy is seeking a (Senior) ML Engineer to strengthen our Data & Analytics crew. You will develop, train and deploy machine learning models and production pipelines, covering the model lifecycle from data prep to serving and monitoring.

You will collaborate with data scientists, software developers and client teams to connect ML with operational systems. Many projects involve time-series, sensor and IoT data, with use cases like anomaly detection, predictive maintenance and demand

Qualifications

  • Strong Python and software engineering skills.
  • Hands-on experience developing and evaluating ML models.
  • Practical Azure and/or AWS experience.
  • Experience taking models into production and applying MLOps practices.
  • SQL and data processing skills.
  • Interest in AI-assisted coding and applying good engineering judgment.

Responsibilities

  • Develop, train and evaluate ML models and production pipelines.
  • Build automated data prep, model training, evaluation and deployment pipelines.
  • Connect ML workloads with cloud data services and event-driven architectures.
  • Collaborate with data scientists, data engineers, software developers and client teams.
  • Monitor model performance and data quality, diagnose drift and retrain as needed.

Skills

Python
Software engineering
ML modeling
Azure/AWS
MLOps
SQL
Finnish/English comms

Tools

Azure ML
IoT Hub
Event Hubs

Job description

Knowit Oy is seeking a (Senior) ML Engineer to strengthen our Data & Analytics crew. You will develop, train and deploy machine learning models and production pipelines, covering the model lifecycle from data prep to serving and monitoring.

You will collaborate with data scientists, software developers and client teams to connect ML with operational systems. Many projects involve time-series, sensor and IoT data, with use cases like anomaly detection, predictive maintenance and demand

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