Lead internal teams to drive innovation initiatives and deliver long term value-added propositions for internal customers
Independently develop new model architectures and frameworks, training methodologies, data representation, validation and evaluation, and integration of state-of-the-art approaches such as generative AI
Design and write programs and scripts in various languages such as Python, SQL, R, SparQL on-prem, and other big data computing platforms
Engage in large-scale model training using distributed processing systems such as Ray and SPARK
Design and develop deep learning systems that can operate on tabular and graph data which requires advanced knowledge in network architectures and graph computations
Design and implement AI systems that leverage agent-based architectures using well-known frameworks (e.g., LangChain, Pydantic AI, DsPy), enabling dynamic, context-aware decision-making and interaction across enterprise applications
Stay abreast of cutting-edge research and translate academic advancements into practical solutions
Deliver analytic insights and recommendations in succinct and compelling presentations for internal stakeholders and senior management
Identify strategies and opportunities for automation
Provide mentorship and training to junior colleagues and maintain progress on all initiatives without supervision
Requirements
Master’s degree in Computer Science, Mathematics, Statistics, or a related field plus 3 years of experience in data analytics required
Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field plus 6 years of progressive experience in data analytics also acceptable
Tech Stack
AWS
Google Cloud Platform
Kubernetes
Python
PyTorch
Ray
Scikit-Learn
Spark
SQL
Tensorflow
Benefits
flexible benefits including flexible time off for exempt associates
paid time off for non-exempt associates
up to 12 paid holidays per year
health benefits (including medical, dental, and vision plan options and health spending accounts)