• Professional with hands-on experience developing Computer Vision solutions, working independently on projects from data exploration to delivering models into production environments. • Development of Computer Vision models for images and videos • Proficiency in Python and scientific libraries • Strong experience with CNNs, detection, classification, and segmentation • Advanced experience with PyTorch or TensorFlow • Data processing and curation (data augmentation, balancing) • Model evaluation and optimization • Model integration via APIs or pipelines • Experience with cloud or on-premises environments • Best practices for versioning and experiment tracking • Soft skills • Autonomy in carrying out tasks • Analytical ability and critical thinking • Good communication with technical and business stakeholders • Active collaboration within multidisciplinary teams • Management of priorities and deadlines

• Mid-level ServiceNow Consultant focused on the ServiceNow platform. • Service Catalog management and workflow configuration. • Requirements gathering and process mapping. • Data analysis and assessment of consolidation impacts. • User communication and training design.

• Ensure the successful implementation of the Workday HCM solution with customers through product and implementation expertise • Master at least 2 modules in the Workday HCM product suite (HCM Core, Compensation, Benefits, Recruiting, Talent and Performance, Learning) • Understand client business requirements, configure the Workday solution, and demonstrate the configurations through the development of prototype systems • Assist the client in testing the Workday solution • Work with the client to help convert legacy data into Workday • Assist the Integration team in helping to configure and test integrations between Workday and third party/custom solutions • Understand Workday’s Implementation Methodology and use it on all engagements • Ensure the client takes advantage of Workday’s proven solutions • Mentor and share product knowledge with other consultants

• Draft, review, and negotiate research-related agreements, including, but not necessarily limited to federal grants and contracts, non-profit supported research agreements, clinical trial agreements, subawards, data use agreements, confidentiality agreements, material transfer agreements, and corporate sponsored research agreements. • Ensure contract terms comply with institution policies, federal and state regulations, and funding agency requirements. • Identify and mitigate legal, financial, compliance, and intellectual property risks. • Collaborate with faculty, researchers, and departmental administrators to understand project needs and explain contractual requirements. • Adhere to established service levels, including updating the system of record.