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Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Build and deploy production-grade AI systems for banks and insurers, automating back-office workflows with Python, ML frameworks, and compliance-first design.
Build and deploy cutting-edge ML/NLP models (LLMs, transformers) to power real-time call-center coaching, using Python, PyTorch, and cloud infra.
Build and deploy ML systems for video recommendations and personalization at scale using deep learning frameworks like TensorFlow or PyTorch.
Build and improve ML pipelines for media/entertainment tools, implementing deep-learning models in Python/C++ to process VFX and game data at scale.
Build and deploy AI/ML models (computer vision, NLP, LLMs) on Azure to support transportation and infrastructure projects, ensuring robust CI/CD and stakeholder communication.
Build and deploy production-grade ML systems for utility operations, focusing on time-series forecasting, anomaly detection, and geospatial intelligence with MLOps and cloud/on-prem deployments.
Build and operate the ML infrastructure powering an AI assistant, focusing on model training, deployment, inference, and observability to enable reliable, scalable, and cost-efficient production systems.
Data Scientist at Metropolis builds and deploys ML models to analyze large datasets and drive AI-powered checkout-free experiences in parking and mobility, using Python, SQL, and frameworks like TensorFlow.
Build and ship LLM-powered AI agent workflows that orchestrate multi-step tasks, integrate tools, and turn probabilistic model outputs into reliable user experiences.
Lead the design and deployment of AI/ML models for subsurface data analysis in the oil and gas sector, using Python, TensorFlow/PyTorch, and cloud platforms.
Graduate technical analyst collaborates on AI projects, implementing solutions and analyzing technologies to improve efficiency in a startup environment.
Designs rigorous AI training challenges, writes gold-standard solutions in Python/R, and audits AI-generated code for correctness and efficiency.
Build and refine AI models for mineral exploration using Python, PyTorch, and agentic systems to process geological data and support sustainable resource discovery.
Build and scale a platform to deliver machine-learning model results for chemical datasets, collaborating with ML engineers on backend services, APIs, and full-stack development.
About the Role Join the Vegetation Modeling team at a mission-driven climate-tech company that uses AI and advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation…
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI)…
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch, with cloud deployment on Azure/AWS/GCP.
Lead AI/ML engineering for medical imaging: build, evaluate, and deploy deep-learning models for segmentation, detection, and classification across dental radiographs and CBCT data.
Build and deploy AI models using Python, TensorFlow/PyTorch, and MLOps on Azure to drive predictive analytics and business insights.
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