AI Consultant

Nowy Jork

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Position overview

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