AI Engineer

Apply in 2 minutes! Clarvo is currently recruiting on behalf of a client for an AI Engineer position. This is a full-time, permanent role based in Helsinki, offering a hybrid working model. This position requires professional proficiency in either English or Finnish.

About the Company

Our client is a data-driven technology firm that specializes in developing advanced analytics and artificial intelligence solutions. They focus on creating products that enable businesses to leverage data for predictive insights and automation, serving a diverse international clientele.

The Role

In this position, you will be a key part of the product development team, focusing on designing, building, and deploying machine learning models. Your daily responsibilities will include processing and analyzing large datasets, training and validating models, and integrating these models into production environments. You will be expected to contribute to the entire AI development lifecycle, from conceptualization and data sourcing to monitoring model performance and iteration. You will collaborate closely with data scientists, software engineers, and product managers to ensure the successful implementation of AI-driven features.

Required Qualifications and Skills

• Proven experience working as an AI Engineer, Machine Learning Engineer, or in a similar role.
• Strong programming skills, particularly with Python and its data science ecosystem (e.g., Pandas, NumPy).
• Hands-on experience with core machine learning and deep learning frameworks, such as TensorFlow or PyTorch.
• A solid understanding of MLOps principles and experience with tools for model deployment and lifecycle management.
• Proficiency in working with cloud platforms, preferably AWS, Azure, or GCP.
• Experience with data engineering and building data pipelines is highly beneficial.
• Strong analytical skills and the ability to translate business problems into data-driven solutions.
• A degree in Computer Science, Data Science, Engineering, or a related quantitative field.

What’s On Offer

• A competitive salary and comprehensive benefits package.
• The flexibility of a hybrid work schedule.
• Opportunities for professional growth and learning new technologies.
• A modern technology stack and the chance to work on challenging AI and machine learning projects.
• A collaborative and innovative team environment.