Company Description
Bodhi is a cloud-based building management platform located in Fort Lauderdale, FL, offering a simple, comprehensive solution to building technology control. The platform centrally monitors and controls various technologies on properties, such as lighting, climate, water and electrical metering, audio, video, leak detection, and more, from a single interface. Bodhi is designed to be user-friendly for property managers, engineers, concierges, and homeowners.
Job Summary:
We are seeking a highly skilled and innovative AI Implementation Specialist to lead and manage the deployment of AI solutions in various business processes. The specialist will collaborate closely with cross-functional teams, including data scientists, engineers, business stakeholders, and IT teams, to ensure seamless integration and implementation of AI-driven technologies.
Key Responsibilities:
- Solution Design and Deployment:
- Work with business units to identify areas where AI can provide a competitive advantage or process improvement.
- Assist in designing AI models and developing implementation strategies tailored to business needs.
- Integrate AI models and algorithms into existing systems and workflows to optimize business performance.
- Monitor and fine-tune deployed models to ensure efficiency and accuracy over time.
- Project Management:
- Lead end-to-end AI implementation projects, including planning, execution, and monitoring.
- Collaborate with stakeholders to define project scope, objectives, and deliverables.
- Manage project timelines, budgets, and resources to meet implementation goals.
- Technical Support and Maintenance:
- Provide ongoing technical support for AI solutions post-deployment.
- Troubleshoot and resolve any issues that arise during or after AI implementation.
- Ensure AI systems remain updated and function optimally by conducting regular system audits.
- Collaboration and Communication:
- Work with data scientists to translate AI models into production-ready applications.
- Liaise between technical teams and non-technical business stakeholders to ensure alignment on AI initiatives.
- Conduct training sessions for end-users to ensure proper utilization of AI systems.
- Data Management:
- Collaborate with data engineering teams to ensure the quality and availability of the data required for AI models.
- Ensure data governance and compliance with industry standards and regulations.
- Innovation and Continuous Improvement:
- Stay up-to-date with the latest AI technologies, tools, and industry trends.
- Identify opportunities for leveraging AI advancements to improve current solutions and business processes.
- Contribute to the research and development of new AI-driven business solutions.
Key Qualifications:
- Education:
- Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a relevant experience.
- Experience:
- Proven experience in AI model deployment and implementation.
- Strong background in machine learning, deep learning, and data analytics.
- Hands-on experience with AI tools and platforms such as TensorFlow, PyTorch, or Azure AI.
- Experience with cloud-based environments (AWS, Azure, Google Cloud) for AI deployment.
- Skills:
- Proficient in programming languages such as Python, R, or JavaScript.
- Solid understanding of AI/ML algorithms, model evaluation, and tuning techniques.
- Familiarity with DevOps, CI/CD pipelines, and version control systems (e.g., Git).
- Strong analytical skills and attention to detail.
- Excellent communication and problem-solving skills.
- Soft Skills:
- Strong project management skills with the ability to manage multiple projects simultaneously.
- Ability to work collaboratively in cross-functional teams.
- Ability to explain technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Familiarity with AI ethics and responsible AI deployment practices.
- Experience with digital twin platforms or other advanced simulation technologies.
- Certifications in AI, ML, or cloud computing (e.g., Google Cloud AI Engineer, Microsoft AI Engineer, AWS Machine Learning).
