Redefine the commercial real estate industry by building, growing, and managing a team that delivers state-of-the-art GenAI and Machine Learning (ML) solutions. Improve revenue generation, risk reduction, and efficiencies by providing GenAI and ML solutions to enhance Berkadia's data and content generation capabilities.
Requirements
- Experience building and tuning machine learning models
- Experience delivering Machine Learning solutions
- Proficiency in R and/or Python, Javascript, Node.js.
- Experience with Spark.
- Strong experience with Scrum methodology and Agile practices, as well as Open Source technologies.
- Write accurate production-quality code using OpenAI, AWS, Azure, and PySpark.
- Build and test code to validate functionality against requirements and ensure full unit test coverage.
Responsibilities
- Develop and execute organizational machine learning strategy, aligning technical capabilities with business objectives and growth targets.
- Lead and grow a team of Machine Learning Engineers, Product Managers, and Software Engineers, coaching them on discovering and implementing next-generation GenAI and ML solutions and scaling their teams.
- Oversee the design, development, and deployment of scalable machine learning systems and infrastructure across multiple business domains.
- Guide technical decision-making on model architecture, framework selection, and infrastructure planning.
- Collaborate closely with product, data, and software engineering to develop their roadmap and deliverables.
- Identify ways to use ML for new business cases that produce business value.
- Lead the generation of predictive algorithms, generative AI solutions & intelligent document processing that enhance and automate workflows and decision making at the organization
Other
- Be Part of Building the Next. Be Berkadia.
- Excellent verbal and written communication skills, with strong logical, analytical, and problem-solving abilities.
- Provide staff and clients with training and technical assistance related to new, existing, and revised products.
- Provide post-release support to internal and external customers.
- Identify improvements in the software development lifecycle.
