About the Position
DataArt provides end-to-end AI services, enabling clients to create smart workflows, significantly increase productivity, and reduce costs. We are an artificial intelligence services company that helps organizations unlock new possibilities. DataArt’s AI/ML team is expanding, and we are looking for motivated and energetic people to join us.
The estimated salary range for this position is USD 200,000–240,000 per year.
Responsibilities
- Being a part of AI ML Center of Excellence, assume a leading role and advise on the strategic direction of AI within the Company, ensuring alignment with AI ML CoE and the broader company's goals
- Cooperating with leadership and internal stakeholders to identify AI opportunities and promote DataArt AI Ready Program
- Working collaboratively across client teams to understand their product and business needs, design and engineer AI solutions to help clients achieve their goals
- Facilitating communication, prioritization and decision making between client and DataArt stakeholders
- Communicating with current AI clients, presenting recommendations, new offerings, identifying new business opportunities and developing proposals for future projects
- Supervising the development and implementation of forward-looking Proof of Concepts (POCs) and Accelerators in the field of AI
- Establishing and overseeing relationships with vendors and partners, ensuring effective collaboration that aligns with our aspirations
- Representing the company at industry events, showcasing our competencies, and upholding our position as a frontrunner in AI
- Staying up to date with industry developments, nurturing a culture of continuous learning and innovation within the team, and sharing relevant information with clients and internal teams
Requirements
- Minimum of 3 years of AI experience in roles such as Consultant or AI Solution Architect
- Possession of a Master's degree in fields like Computer Science, Artificial Intelligence, Machine Learning, or a closely related area
- Verifiable hands-on experience in AI and machine learning, showcasing practical implementation of these technologies within a business context