Our client is a leading full-service global Contract Research Organization (CRO). We are looking for a specialist based in Lithuania to join our team.

DataArt provides end-to-end AI services that empower clients to create smart, scalable workflows. As a leader in artificial intelligence, DataArt unlocks new possibilities for organizations by delivering innovative AI solutions.

We are seeking a professional with a deep understanding of AI technologies and hands-on experience with generative AI, large language models (LLMs), LangChain frameworks, cloud services, and MLops, including model training and deployment practices.

Python, Microsoft Azure, Azure OpenAI, Azure AI Studio / Foundry, LangChain, scikit-learn, pandas

• Strategically lead and advise on AI initiatives, ensuring alignment with the AI Lab and overall company objectives
• Work alongside diverse client teams to assess business requirements and design tailored AI solutions that integrate generative AI, LLMs, and MLops practices
• Present recommendations and proposals to current and prospective AI clients by showcasing innovative offerings and business value
• Lead and develop the Proof of Concepts (POCs) and Accelerator projects, incorporating advanced cloud integration and generative AI technologies
• Stay up to date on industry trends and advancements, fostering a culture of continuous learning and innovation within the team, and disseminating relevant insights to clients and internal groups

• Minimum of 4 years of practical experience in the implementation and leadership of AI/ML projects
• Practical experience in AI roles such as Consultant or AI Solution Architect is required
• Master’s/Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
• Demonstrable hands-on experience implementing AI/ML solutions in a business context
• Proven experience with at least one major cloud platform (AWS, GCP, or Azure)
• Expertise in Generative AI/LLMs; candidates should be comfortable working with modern frameworks and tools such as LangChain
• A solid understanding of MLOps practices, including setting up model training pipelines, continuous integration/deployment, and monitoring ML models
• Strong communication and leadership skills to collaborate with cross-functional teams, present proposals, and manage stakeholder expectations

• Experience with state-of-the-art generative AI/LLMs, including frameworks like LangChain

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com