4 monitoring tech jobs found

Job Description About the Role We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. We enable MLEs at Cruise to Run and debug ML pipelines, Initiate data collection, Manage model training, Evaluate model performance, Deploy models to the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Build UX experiences and agentic workflows to improve MLE workflows and productivity Build backend integrations to provide unified experience across ML lifecycle Raise the bar on system...

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time. Who We’re Looking For Toyota's Enterprise Data team within OneTech is looking for a passionate and highly-motivated Data Solution Architect / Tech Lead. The primary responsibility of this role is to lead the design and implementation of comprehensive data architectures that support manufacturing operations, supply chain, quality control, and product innovation. You will architect scalable, secure,...

Job Title: AI Product Manager Location: Dallas, TX or Seattle, WA Job Type: - Contract On-Site Job Description: Key Responsibilities AI product vision, roadmap aur strategy define karna Business problems ko AI/ML use cases me convert karna Data scientists, ML engineers aur tech teams ke saath collaboration Product requirements (PRDs, user stories) create karna Model performance metrics (accuracy, precision, recall, ROI) define karna Data readiness, feature selection aur experimentation guide karna AI ethics, bias, privacy aur compliance ensure karna Go-to-market planning aur stakeholder communication User feedback aur model performance ke basis par product improve karna Required Skills Product management fundamentals (roadmaps, OKRs, Agile/Scrum) Strong understanding of AI/ML concepts (supervised/unsupervised learning, NLP, CV) Data analysis & metrics-driven decision making Stakeholder management & communication skills Problem-solving aur...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Dell Technologies. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Senior Principal AI Systems Development Engineer Our customers' system requirements are usually highly complex. Bringing together hardware and software systems design, Systems Development Engineering operates at the very cutting edge of technology to meet them. We design and develop rack scale GPU based AI platforms conduct feasibility studies on engineering proposals and prepare installation, operation and maintenance specifications and instructions. We're proud to...