Hydro Global Business Services (GBS) is an organizational area that operates as an internal service provider for the Hydro group. Its ultimate purpose is to deliver relevant IT, financial and HR business services to all business areas within the company.

About the job

The AI/ML Engineer is responsible for developing, deploying, and optimizing machine learning models and AI-driven solutions that directly contribute to the company's technological innovation and product excellence.

You will work on

• Model Development: Build, train, and optimize machine learning models, utilizing techniques from Generative AI, Computer Vision, and traditional Machine Learning / Deep Learning to address business challenges and improve product functionality
• Algorithm Optimization: Fine-tune and optimize models for efficiency, accuracy, and performance, addressing challenges like overfitting, scalability, and latency
• Collaboration: Work closely with data scientists, software engineers, and stakeholders to ensure smooth end-to-end development and deployment of AI/ML models and systems
• Model Validation and Testing: Develop testing methodologies to validate model performance, ensuring solutions are robust and effective in real-world applications
• Prototyping and Experimentation: Create prototypes and run experiments to explore new model architectures, features, and improvements, demonstrating their feasibility to teams
• Automation and Deployment: Automate model retraining and monitoring workflows, ensuring that AI/ML solutions are continuously updated and perform reliably in production environments
• Performance Monitoring: Continuously monitor and refine deployed models to improve performance, address drift, and ensure stability over time
• Security and Ethics: Ensure AI/ML models adhere to ethical guidelines and security standards, with a focus on data privacy, compliance, and fairness in AI decision-making
• Continuous Learning: Stay informed about emerging AI/ML techniques, tools, and frameworks, applying new advancements to enhance AI solutions and maintain the organization’s competitive edge
   

What we offer you

• Working at the world’s only fully integrated aluminum and leading renewable energy company
• Diverse, global teams
• Flexible work environment/home office
• We provide you the freedom to be creative and to learn from experts
• Possibility to grow with the company, gain new certificates
• Attractive benefit package
   

Your qualifications and skills

• Proven experience as AI/ML Engineer or similar role, preferably in software engineering, cloud technologies or infrastructure area
• Knowledge in finance, HR or production domain is an advantage
• Specialized courses or obtained certifications in AI, machine learning, natural language processing, computer vision, or other relevant AI domains is advantage
• Bachelor's Degree in Computer Science, Data Science, or a related field
• Strong understanding of AI/ML concepts, algorithms, and techniques
• Proficiency in Python is essential; familiarity with other programming languages is an advantage.
• Experience with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Knowledge of common computer vision technologies, such as YOLO, R-CNN, SSD, or Vision Transformers, to support AI projects involving image processing or object detection
• Familiarity with cloud platforms (Azure is preferred)
• Experience with front-end technologies such as React or Angular, adding value for AI-based web applications is advantage
• UX/UI design skills with familiarity in tools like Adobe Photoshop, Adobe Illustrator, or Inkscape, which can aid in building user-friendly interfaces is advantage
• Solid data cleaning, preprocessing, and feature engineering skills
• Ability to deploy and maintain AI/ML models in production environments
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
• Fluency in English is mandatory
   

Hydro values diverse skills and perspectives among employees. We encourage all qualified candidates to apply. Qualified applicants will be considered regardless of race, religion, nationality, ethnicity, age, gender, sexual orientation, gender identity or expression, protected veteran status, or disability. We strive to provide equal opportunities for all to contribute and succeed with us.

If you have any questions, please contact: 

Recruiter
Anita Baloni-Kovacs
Anita.Ghh.Kovacs@hydro.com