Viva.com, Europe's premier Tech Bank for Businesses, is seeking a Lead Machine Learning Engineer to join their dynamic Business Intelligence and Analytics team. This role presents an exciting opportunity to lead and inspire a team of ML Engineers while developing cutting-edge AI-driven solutions that enhance business decision-making across all sectors.
The position is based in Marousi, Greece, where you'll be part of a forward-thinking organization that's revolutionizing omnichannel payments acceptance and financial services. As the Lead ML Engineer, you'll be responsible for designing, developing, and deploying innovative AI and ML solutions that integrate seamlessly with the company's BI ecosystem using Azure cloud services.
The role requires a strong technical background with at least 3 years of experience in AI and ML technologies, combined with 2+ years of team leadership experience. You'll be working with modern technologies including Python, R, SQL, and Azure ML services, while implementing MLOps principles and staying current with the latest AI/ML trends.
What makes this role particularly exciting is the opportunity to work at the intersection of finance and technology, leveraging Azure AI services to build advanced solutions that directly impact business operations. You'll be collaborating with cross-functional teams, guiding ML engineers, and contributing to the company's mission of providing businesses with value-driven technological solutions.
The position offers attractive benefits including competitive compensation, performance-based bonuses, comprehensive health insurance for you and your family, top-tier equipment, and strong emphasis on professional development. The company culture promotes wellness through daily coached sessions and provides regular feedback for career growth.
This is an ideal opportunity for a seasoned ML professional who wants to make a significant impact in the fintech sector while leading a team of talented engineers. The role combines technical expertise with leadership responsibilities, offering a perfect balance for someone looking to advance their career in machine learning while contributing to innovative financial technology solutions.