Must have

• AI

• Degree

• Machine Learning

• Python

• Presales

• English (C1)

Requirements description

Position requirements:

• A degree in Business Administration, Computer Science, Engineering, or consulting-related field is preferred
• Knowledge of machine learning and artificial intelligence techniques, including an array of models such as Generative AI, computer vision, classification and regression, and their practical application in addressing business issues,
• Competency in structuring complex issues, spearheading problem-solving efforts, devising strategies, and articulating recommendations,
• Ability to manage stakeholder expectations and maintain strong relationships across diverse teams,
• Innovative thinking with a proactive approach to identifying and solving problems,
• Previous experience in a consultancy role, demonstrating successful project delivery and client satisfaction,
• Previous experience in the financial industry preferred,
• Proficiency in spoken and written English.
• Previous experience in chemistry and/or industry would be an advantage.

Offer description

Project Description:

In line with Spyrosoft’s strategic growth and commitment to leveraging cutting-edge technology for business transformation, we are excited to strengthen our Unit with an AI Consultant role. This position is ideal for someone who excels in transforming analytical insights into actionable business strategies, bridging the gap between technical teams and business operations. The AI Consultant will play a critical role in enhancing our capabilities, driving innovation, and fostering business growth across various sectors.

Your responsibilities

1. Lead pre-sales meetings, contributing to architecture design, offer creation, and overseeing project delivery from a technical perspective.
2. Engage in problem-solving and brainstorming solutions for clients across various industries.
3. Act as a liaison between technical teams (data engineers and scientists) and business operations, ensuring seamless integration and application of AI solutions.
4. Use domain knowledge to help identify and prioritize business problems that can generate significant value when addressed.
5. Translate business objectives to data professionals, aligning analytics and model development with strategic business needs.
6. Ensure that analytical insights are interpretable and actionable, facilitating their transformation into effective business strategies.

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