MLOps/AIOps Platform Engineering: Design and implement reusable platform components and golden paths for experiment tracking, model registry, pipeline orchestration, deployment, monitoring, feedback and retraining using Databricks, MLflow and approved AWS services.
Conduct research and development on multimodal processing algorithms and models, including but not limited to image and video understanding and generation, as well as alignment and integration of multimodal information with textual data.
Provide technical leadership in the design, development, and deployment of production-grade AI and machine learning solutions, with a focus on geospatial applications.
Participate in the development of core capabilities for the advertising system, including AI infrastructure, machine learning and recommendation algorithms, to enhance ad recommendation effectiveness. Analyze foundational data, uncover user interests, and improve the prediction capabilities of the advertising system.
Lead and grow a multidisciplinary team of AI scientists, machine learning engineers and researchers to advance HTX's Voice AI capabilities, translating applied AI R&D into operational products and mission-ready solutions for the Home Team.
Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.
Contribute to unified AI/ML capabilities by integrating classical ML models with Generative AI platforms (primarily AWS Bedrock) for applications in semiconductor manufacturing and risk analytics.
Dynamics 365 & Power Platform Sales: Act as the primary technical lead to upsell and cross-sell the full Dynamics 365 suite (Sales, Service, Finance, Supply Chain) and Power Apps.