Machine Learning & Deep Learning Innovation

• Design, train, and deploy ML models across various business functions.
• Utilize supervised, unsupervised, and reinforcement learning techniques to address a wide range of use cases.
• Collaborate with cross-functional teams to identify critical business problems and propose data-driven solutions.

Conversational AI & Large Language Models (LLMs)

• Develop, fine-tune, and deploy enterprise-level LLMs (e.g., GPT, Ollama, Groq) for both internal and client-facing solutions.
• Implement Retrieval-Augmented Generation (RAG) and dialogue management systems to enable dynamic, context-aware conversational experiences.
• Drive initiatives in prompt engineering, model optimization, and response quality improvements.

Enterprise-Level API Development & Integration

• Architect and implement RESTful APIs and microservices to connect AI models with internal and external systems.
• Collaborate with the IT team to ensure secure, scalable, and compliant data exchange practices.
• Work closely with DevOps to streamline CI/CD pipelines for seamless deployment of AI services.

Data Engineering & Governance

• Partner with Data Analysts and Data Engineers to design robust data pipelines using tools such as Apache Spark, Airflow, or similar.
• Oversee data preprocessing, feature engineering, and data wrangling to ensure high-quality input for AI models.
• Ensure alignment with the organization’s data governance policies, maintaining data security and compliance standards.

Technical Leadership & Mentorship

• Lead a small team of AI engineers and Data Scientists, providing guidance, code reviews, and best practices for ML/DL development.
• Facilitate knowledge sharing and collaboration through regular team meetings, workshops, and training sessions.
• Partner with cross-functional leaders (e.g., CIO, Data Analysts, Product Managers) to align AI initiatives with Rialto’s strategic goals.

Continuous Improvement & Collaboration

• Stay current on emerging AI trends, tools, and frameworks, evaluating their potential business impact.
• Propose and champion innovative projects that leverage generative AI to transform Rialto’s business processes.
• Work with the Director of Information Engineering & AI to track key metrics (e.g., model performance, ROI) and report progress to stakeholders.

Qualifications

• Education & Experience
  • Bachelor’s degree required in computer science, Engineering, or a related field preferred; Master’s or Ph.D. highly preferred.
  • 5+ years of professional experience developing AI/ML solutions, with a strong track record of successful enterprise deployments.
  • Experience in financial services or real estate industries is a plus.
• Technical Expertise
  • Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, and related libraries (e.g., Hugging Face Transformers).
  • Hands-on experience with LLMs, prompt engineering, and techniques for fine-tuning large-scale language models.
  • Experience with data engineering tools like SQL, Apache Spark, Airflow, and data pipeline orchestration.
• Systems & Tools
  • Familiarity with Azure cloud services (e.g., Azure Machine Learning, Data Factory) or equivalent cloud platforms.
  • Experience with containerization (Docker, Kubernetes) and CI/CD best practices for scalable deployments.
  • Solid understanding of version control systems (Git) and collaborative development workflows.
• Soft Skills
  • Excellent communication skills to translate complex AI concepts into actionable insights for business stakeholders.
  • Strong leadership, project management, and problem-solving abilities.
  • Collaborative mindset with the ability to work across multifunctional teams and drive successful outcomes.