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About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the…
Lead a team of AI/ML specialists to coach customers on Snowflake’s GenAI and ML capabilities, ensuring successful activation and production workloads while driving technical sales excellence.
Build and deploy AI-driven healthcare systems, focusing on agentic LLM workflows, rigorous evaluation, and clinical-grade reliability for real-time patient care.
Design and maintain scalable data pipelines, ML model-serving infrastructure, and AI-enabling data systems (feature stores, vector DBs) for a healthcare-focused Public Benefit Corporation using Python, SQL, and cloud platforms.
Senior AI/ML Engineer designing, building, and deploying production ML and LLM systems (RAG, fine-tuning, evaluation) using Python, PyTorch, HuggingFace, and AWS/Azure for a digital agency's enterprise and non-profit clients.
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will…
Softhouse is seeking an AI/ML developer in Luleå to guide clients from strategy to production-ready AI solutions. The role involves hands-on development using frameworks like PyTorch and LangChain, while acting as a consultant to translate business needs into technical implementations.
The Practice Architect II manages complex AI/ML consulting and delivery projects, overseeing account teams, project planning, and financial profitability. This leadership role requires strong analytical skills and experience in service outsourcing to drive successful client outcomes.
Cloud Infrastructure Architect – AI/ML Security Governance Location: Remote (New York,USA) Job Type: Full-Time Job Description We are seeking a Cloud Infrastructure Architect – AI/ML Security Governance to establish…
This AI/ML Engineer Co-op role involves researching, evaluating, and prototyping cutting-edge AI/ML models to support NLign's product development and internal processes. Interns will work closely with researchers to solve real-world customer problems and present their findings to the team.
Develop AI agents using Python for Sber's data science initiatives.
Builds and automates ML pipelines for insurance risk modelling and pricing, using Python and leading-edge techniques.
This co-op researcher role at Huawei's Noah's Ark lab involves developing state-of-the-art speech and audio AI technologies through literature review, algorithm implementation, and data analysis. The position requires strong software development skills in C++ and Python, along with experience in deep learning frameworks like PyTorch or TensorFlow.
BURNT Member of Technical Staff AI/ML Engineer (MLOps-Focused) Location On-site, San Francisco · Experience 5–7 years · Compensation $150,000–$275,000 + equity About Burnt Burnt isn't building software on top of…
Role: AI/ML Engineer Experience: 10 Years Duration: 12 months Location: MC Lean , VA Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision,…
An ML Engineer working on flexible data and AI projects focused on document automation (LLM-based information extraction, data modeling) and speech-to-text transcription (audio analysis, conversation summarization).
Leads AI/ML program strategy and execution for Google Workspace, shaping ecosystem growth and product roadmaps with cross-functional teams while ensuring scalable, user-focused solutions.
Develops 3D computer vision and spatial AI systems for wearable AR tech in construction, focusing on scene understanding, BIM integration, and embedded deployment to enable real-time object recognition and quality assurance on-site.
The AI Platform & Machine Learning Engineer will build and maintain scalable infrastructure for training, deploying, and monitoring machine learning models for wearable construction technology. The role focuses on the end-to-end ML lifecycle, utilizing tools like Python, PyTorch, and containerization to bridge the gap between research and production.
Develops and refines cutting-edge ML/AI models for quantitative trading strategies at a global market-making firm, focusing on modernizing financial market analysis with advanced algorithms.
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