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
Key Skills
Ranked by relevance
Related Jobs
3 roles aligned with this opportunity
Lead Machine Learning Engineer/ AI Systems Architect
2026-06-19
Backend Engineer - AI Trainer
2026-06-18
Full Stack Engineer - AI Trainer
2026-06-18
- Posted
- May 05, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Helsinki
- Company
- Green Factory AI
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
Lead Machine Learning Engineer/ AI Systems Architect
2026-06-19
Backend Engineer - AI Trainer
2026-06-18
Full Stack Engineer - AI Trainer
2026-06-18