Senior AI/ML Implementation Expert

The Senior AI/ML Implementation Expert at Acronis will be responsible for collaborating with business stakeholders to identify AI and machine learning opportunities, designing AI/ML implementations, analyzing business data, and organizing user acceptance testing. Additionally, this role includes acting as a product owner for AI/ML initiatives related to sales and support.

Candidates for the Senior AI/ML Implementation Expert position at Acronis should have experience in business analysis, project management, or product management. A solid understanding of Salesforce Sales and Service Cloud, as well as proven experience in successfully implementing AI/ML solutions, is essential.

The Senior AI/ML Implementation Expert at Acronis will work on projects that implement AI/ML solutions to enhance customer support and sales processes, streamline analytics, and improve business outcomes. This includes overseeing project development from the initial design phase to successful implementation.

At Acronis, the Senior AI/ML Implementation Expert will work primarily with Salesforce Einstein, Analytics Studio, and other AI technologies. Familiarity with the latest developments in AI/ML will also be crucial for integrating new solutions into existing systems.

Acronis offers a competitive salary combined with excellent health insurance, flexible working models, employee recognition programs, and a focus on professional development through trainings and conferences. The company fosters an inclusive culture and encourages a work-life balance.

When answering this question, focus on specific AI/ML projects you've worked on, detailing your role and the impact of the solutions on business outcomes. Highlight your problem-solving skills and how you collaborated with other teams to achieve success.

Discuss your method for engaging with stakeholders to collect detailed requirements. Emphasize the importance of understanding both technical and business needs and how you prioritize these requirements in your approach.

Explain your familiarity with tools such as Salesforce Einstein and any specific AI/ML frameworks you’ve used. Mention how your choice of tools aligns with business goals and enhances operational efficiency.

Share a specific example highlighting the challenges you faced, your strategic approach to overcoming them, and the eventual success of the project. This demonstrates your ability to handle difficulties and lead a team effectively.

Talk about the resources you utilize such as conferences, webinars, journals, and professional networks. This shows your commitment to continuous learning in the fast-evolving field of AI/ML.

Communicate your approach for systematic testing, user feedback, and collaborating with the development team to refine the integration process. Mention how this drives both user acceptance and project success.

Detail your experience coordinating between different departments, your communication strategies, and how you kept projects on track. Use specific projects as examples to illustrate your competencies.

Provide a narrative about the data you analyzed, the tools you used, the insights you gained, and how those insights influenced business decisions or strategy.

Outline your criteria for success including aligned objectives with business goals, stakeholder buy-in, clear timelines, and measurable outcomes. This shows key strategic thinking in your project management.

Discuss your conflict resolution strategies, emphasizing the need for open communication, data-driven justifications for decisions, and finding mutually agreeable solutions to balance differing priorities.