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2 machine learning engineer jobs in Vilnius

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Analysts Vilnius machine learning engineer
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Full time  (2)
Nasdaq
24/08/2026
Full time
Data Scientist
Nasdaq Vilnius, Lithuania
As a Data Scientist within the Core AI Development team, you'll play a role in developing innovative Machine Learning solutions, and helping build the future of our products, services, and client experiences! You'll thrive in this role if you're curious and ambitious professional who enjoys solving sophisticated problems, exploring new technologies, and translating data into business impact. You'll work closely with cross-functional teams to deliver solutions that drive smarter decisions and measurable results. Key Responsibilities Design, develop, and implement machine learning and AI solutions that create measurable value across the organization. Transform complex data into actionable insights and recommendations for both technical and non-technical audience. Partner with business and technology teams to understand challenges, find opportunities, and deliver data-driven solutions. Communicate project progress, key findings, and business impact to partners at various...
Nasdaq
31/07/2026
Full time
Mid-Level Data Scientist
Nasdaq Vilnius, Lithuania
As a Mid-Level Data Scientist reporting to the Director of Data Science, you'll play a meaningful role in crafting solutions, translating data into meaningful insights, and helping build the future of our products and client experiences. You'll thrive in this role if you're curious, data driven, and curious about technology — someone who enjoys collaborating across teams and communicating sophisticated ideas in clear, compelling ways. Key Responsibilities Design, research, and develop machine learning and AI solutions that drive measurable business outcomes across the enterprise. Translate data insights into practical, decision-ready recommendations for both technical and non-technical collaborators. Partner with key business collaborators to understand their objectives and communicate the value and impact of data science initiatives. Provide regular updates on project progress, findings, and potential impact on key performance indicators. Foster a collaborative, informed...
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