Posted:3 days ago|
Platform:
Work from Office
Full Time
PyTorch, TensorFlow, Python
Founding ML/AI Applied Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.
Founding AI/ML applied engineer.
We are an early stage VC-backed AI startup based in SF & Bangalore, working in the online safety space - building solutions for next generation problems like deepfake & synthetic media investigation, hate speech, multimodal content moderation, AI guardrailing and more.
This is a full-time opportunity for an ML/AI Applied Engineer role in a super-exciting early stage startup with responsibilities across the AI development lifecycle - from dataset creation and curation, model development, results data visualization and deep analysis, and deploying AI solutions for our enterprise clients.
Interested and talented folks will be asked to work on-site from our cozy Bengaluru office (Sector 4, HSR).
2. Upload updated Resume & Complete the Screening Form
3. Increase your chances to get shortlisted & meet the client for the Interview!
We help organizations detect deepfakes, prevent scams, and address high-risk safety challenges using advanced AI and agentic workflows.
Our proprietary multi-modal detection engine analyzes video, audio, and images to accurately identify synthetic media, deepfakes, misinformation, and policy violations.
Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.
With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.
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