AI Consultant (Chemical)

Spyrosoft Synergy is seeking an AI Consultant to support pre-sales initiatives and collaborate closely with clients primarily within the Chemistry and Industrial sectors.

• A degree in Business Administration, Computer Science, Engineering, or consulting-related field is preferred.
• Knowledge of machine learning and artificial intelligence techniques, including models such as Generative AI, computer vision, classification, and regression.
• 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.
• Proficiency in spoken and written English.
• Experience working with industrial or manufacturing data systems such as SCADA or MES.
• Familiarity with operational metrics and data generated in factory or production environments.
• Experience working with time-series data (collection, storage, analysis, or monitoring).
• Ability to work with data originating from industrial monitoring systems and production processes.
• Previous experience in chemistry and/or industry would be an advantage.

• Lead pre-sales meetings, contributing to architecture design, offer creation, and overseeing project delivery from a technical perspective.
• Engage in problem-solving and brainstorming solutions for clients across various industries.
• Act as a liaison between technical teams (data engineers and scientists) and business operations, ensuring seamless integration and application of AI solutions.
• Use domain knowledge to help identify and prioritize business problems that can generate significant value when addressed.
• Translate business objectives to data professionals, aligning analytics and model development with strategic business needs.
• Ensure that analytical insights are interpretable and actionable, facilitating their transformation into effective business strategies.
• Communicate the benefits of analytics insights to business users, driving adoption and ensuring a tangible impact on the organization.
• Lead AI projects and engagements, ensuring successful execution and alignment with client objectives.