Green Factory AI

Senior Data Scientist

Helsinki, Uusimaa, FI

4 days ago
Save Job

Summary

Overview:


At Green Factory AI, we are pioneering the transformation towards a sustainable industrial future. We are seeking a visionary Senior Data Scientist with hands-on expertise and leadership qualities to steer the development of our AI-powered process optimization software. You will spearhead initiatives in machine learning, deep learning, and optimization for smarter and more efficient manufacturing controls.


Key Responsibilities:

  • Design, develop, and deploy advanced AI/ML solutions in Python that drive real-time prediction and optimization in manufacturing environments.
  • Drive the hands-on development of core AI capabilities, translating complex industrial challenges into robust, production-ready machine learning and optimization solutions.
  • Lead the end-to-end development of scalable deep learning models that understand complex process behavior and improve production outcomes.
  • Architect and enhance our no-code ML pipeline, ensuring reliability, modularity, and extensibility for industrial use cases.
  • Implement and maintain robust MLOps workflows for monitoring, updating, and automating models in production.
  • Collaborate with software engineers, domain experts, and product managers to align model outputs with factory system requirements and business objectives.
  • Guide the use of Explainable AI to build trust and transparency into model decisions for critical operations.
  • Pioneer knowledge transfer strategies using reusable AI templates and leveraging both historical and domain-specific data.
  • Integrate AI models with industrial data systems (e.g., OPC-UA, MQTT) and factory platforms (e.g., SCADA, MES, ERP) for seamless deployment and closed-loop optimization.


Qualifications:

Skills & Experience

  • 5+ years in machine learning, deep learning, AI for time-series/industrial process data.
  • Expert-level Python skills and proficiency in frameworks like PyTorch, TensorFlow, or equivalent.
  • Hands-on experience with MLOps, Docker, and deploying models in production environments.
  • Familiarity with historian databases, cloud data lakes, or system log file integration.
  • Experience with industrial environments, process industries, or OT/IT systems is a strong plus.
  • Practical experience with OPC, MQTT, or similar industrial protocols is highly valued.

Mindset & Personality

  • Curious and hands-on: You enjoy solving real-world problems, not just tuning models.
  • Collaborative and communicative: You work well across teams and disciplines.
  • Outcome-driven: You focus on getting AI to work reliably in production.
  • Comfortable in a startup: You take initiative, move fast, and iterate with purpose.


Why Join Us:

  • Build AI that has a direct impact on sustainability, energy efficiency, and industrial performance.
  • Be part of a skilled, ambitious, and collaborative team.
  • Help define the future of cloud-to-factory AI deployment and optimization.
  • Enjoy flexibility, ownership, and the opportunity to grow with the company.
  • Equity package available.


Green Factory AI is excited to consider your application. Join us and contribute to a more sustainable, intelligent, and efficient industrial future.


#ai #ml #datascience #deeplearning #timeseries #optimization #sustainability #greenfactory #industry4.0 #mlops #dataops #mlengineering

How strong is your resume?

Upload your resume and get feedback from our expert to help land this job