Senior AI Engineer

Location: Worldwide

About us:
At Openfair, we're making business ownership accessible to everyone. Based in the Bay Area, we are a successful startup driven by a remote, performance, and quality-based culture. By leveraging cutting-edge AI and automation, we simplify the process of buying and selling businesses, removing complexities and empowering entrepreneurs. Openfair is backed by a growing team of passionate innovators committed to building a transformative platform that makes buying businesses easy, transparent, and impactful.

What we're looking for:
We are looking for a talented Senior AI Engineer to join our dynamic team. This hybrid role merges the power of artificial intelligence with the precision of data analysis to create transformative solutions for our platform. You’ll work closely with cross-functional teams to enhance our business valuation tools, matchmaking capabilities, and overall user experience, leveraging data-driven insights to solve real-world challenges in the business acquisition space.

Responsibilities :
AI Development: Design and implement AI models to enhance the accuracy and efficiency of our business valuation tools and matchmaking systems.
Data Analysis: Analyze large datasets to uncover trends, patterns, and actionable insights that drive platform innovation and improve user outcomes.
Collaboration: Partner with product managers and developers to integrate AI solutions seamlessly into the Openfair platform.
Optimization: Continuously test, refine, and optimize AI models to ensure peak performance and alignment with business objectives.
Communication: Present complex data findings in clear, actionable formats for stakeholders and team members.
Innovation: Stay updated on advancements in AI, machine learning, and data science, applying cutting-edge techniques to drive Openfair’s growth.

Qualifications:
Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
Experience: Proven experience in AI, machine learning, and data analysis, preferably within tech or financial services.
Technical Proficiency: Strong programming skills in Python, R, or similar languages, with expertise in AI libraries like TensorFlow or PyTorch.
Data Expertise: Proficiency in data modeling, visualization, and statistical analysis.
Problem-Solving: Ability to translate business challenges into scalable AI solutions.
Communication: Strong ability to explain technical concepts and data-driven insights to non-technical stakeholders.
Adaptability: Passion for innovation and a proactive approach to learning and applying new technologies.

Core Values and Cultural Fit:
Innovation: Constantly push the boundaries of what AI can achieve in business acquisition.
Collaboration: Thrive in a team-oriented environment, working across departments to deliver impactful solutions.
Adaptability: Excel in a fast-paced, evolving startup culture.
Integrity: Commit to data transparency and ethical AI practices.

What We Offer:
Professional Growth: Opportunities for learning and career advancement in a high-growth startup.
Flexibility: Remote work options and a culture that values work-life balance.
Impact: Shape the future of AI in the business acquisition space, driving meaningful change for entrepreneurs.
Supportive Team: Join a diverse, creative, and collaborative team committed to innovation and excellence.

How to Apply:
If you’re ready to make a difference in the world of business acquisitions, please send an email to Upgrade to see actual info along with your CV and responses to our screening questions below.

Screening Questions:
AI Integration Success: Share an example of how you implemented AI to enhance a startup’s product. What tools did you use, and what results were achieved?
Customer Data Insights: How have you utilized customer data or feedback to improve an AI model or analytical framework? What was the outcome?
Startup Impact: In a fast-paced startup, how did you identify and prioritize AI or data tasks to deliver impactful solutions quickly?

NOTE: Please note that applications that do not adhere to the instructions outlined in the job posting will not be considered. Ensuring every step is completed properly helps us better evaluate candidates and maintain a fair process.