Design and improve machine learning approaches in environments with limited training data
Explore and apply advanced techniques, including vision-language models (VLMs), synthetic data generation, and traditional data labeling workflows
Build and support solutions within an Azure-based development environment
Collaborate with cross-functional team members supporting the broader computer vision and data labeling effort
Serve as a trusted advisor and subject matter expert to clients by taking a hands-on approach in maturing the client's data science capabilities to create value within their business
Develop custom solutions to unique business problems using modern toolsets and platforms, including Python, SQL, Azure, and AWS
Participate in internal initiatives, such as interview support, client brainstorming, and POC development, to foster a culture of growth and collaboration
Requirements
10-15 years of experience as a data scientist developing machine learning models using Python
Experience leading teams
Strong hands-on experience in computer vision
Experience with Azure
Consulting experience and/or experience working in the utilities industry is highly preferred