The Opportunity

You will be a key contributor to a "thrilling journey" of AI capability creation, developing architectural solutions that directly impact the efficiency of autonomous systems used in some of the world's most challenging environments.

Core Responsibilities

• Architectural Delivery: Design and implement end-to-end AI architectures for large-scale industrial data.
• Technical Ownership: Lead the delivery of production-grade ML models, ensuring they are scalable and robust.
• MLOps Integration: Bridge the gap between data science and software engineering by managing the full lifecycle of models within a cloud environment.
• Innovation & Collaboration: Work alongside international stakeholders to align AI strategies with the roadmap of next-generation autonomous tech.

Key Qualifications

• Technical Expertise: Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or scikit-learn).
• Cloud Architecture: Extensive experience with Azure (or AWS) for deploying and scaling AI solutions.
• Education: A Master’s degree (or PhD) in Computer Science, Data Science, or a related engineering field is required.
• Experience: Proven track record in a Senior or Lead capacity, ideally within industrial IoT, robotics, or autonomous systems.

Position Details

• Role Type: Permanent
• Location: Tampere, Finland (Hybrid)
• Tech Stack: Python, Azure, PyTorch, SQL, MLOps, Scikit-learn.