Data Scientist with Computer Vision modeling experience

Data Scientist with Computer Vision modeling experience Starts ASAP, 24-months (6 month stints with 4 concurrent renewals)must be located in San Francisco (can go all the way North to Oregon).100% remote with rare onsite travelUtility industryI'm reaching out with a request for a Data Scientist with Computer Vision modeling experience.All details for this role are below.We are actively working with our client to present candidates for an engagement starting in early April and going through 6+ months.This candidate will be part of a team and not required to be an expert/ SME. Required qualifications below.Scope of workDeveloping new computer vision models from scratch, providing maintenance and enhancements to existing computer vision modelsEvaluating, adapting, and integrating publicly available (external) computer vision modelsBridging insights from AI-driven models to end-users without requiring deep business engagement.Required & Preferred SkillsMandatory RequirementsMust have sound experience in "computer vision modeling"Must have excellent Python programming skills, including experience with machine learning frameworks (TensorFlow, PyTorch, OpenCV).Experience with cloud-based machine learning development, including model training, deployment, and pipeline management.Proficiency in feature engineering, model evaluation, and optimization techniques.Ability to work autonomously in a research-driven environment, without extensive documentation or structured handovers.Experience in structuring complex problems and building scalable, reproducible models.Ability to communicate technical findings effectively to non-data science users (e.g., end-users of model outputs).Flexible / Preferred SkillsHands-on experience in computer vision modeling, including training, optimizing, and deploying models.AWS-based ML experience (must be: SageMaker, S3, GroundTruth).Machine Learning Pipelines (MLOps) experience is useful but not mandatory, as customer has dedicated MLOps support.Some data engineering skills (ETL, working with large datasets) will be beneficial, but there are supporting team members for this.Utility industry experience is a plus but not a requirement.Prior experience integrating and adapting external AI models (e.g., from other utilities) would be beneficial.Experience in applied AI within an enterprise environment is required.Work Environment & LogisticsRole is remote-friendly, but candidates must be on west coast (San Fran) and available to work in PST hours.Target start date: Late March 2025 (subject to budget approvals).Initial contract duration: 24 months (aligning with EPIC project timelines).For quick interview and submission, please email me ALL of the following details:First and Last name as it appears on your passport:Anything we should know about you for presentation (this is our chance to showcase why this consultant is amazing compared to their competition):Reason you are looking for a change (detailed explanation or don't bother):Communication skills/C-Level interaction (1-10):Leadership skills/presence (1-10):Hourly rate, all-inclusive:US Work Status:Resume in MS Word:Education and pertinent certs - degree, year, university:Availability to start (must be in greater San Fran area, remote is fine):Email and phone number:LinkedIn Profile (must have pic):Are you TEAMS/video interview ready (Y/N):Current location (city & state):