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Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Lead Benevity’s AI/ML strategy, designing scalable GenAI systems, LLM-powered features, and MLOps pipelines to deliver measurable business value from model training to production monitoring.
Leads advanced data science projects, building ML/DL models and pipelines to extract insights and drive business decisions in a large financial institution.
Build and deploy ML models for real-time ride-sharing recommendations using deep learning frameworks like PyTorch or TensorFlow.
Lead the ML vision for Lime’s supply and fleet optimization systems, building forecasts and deployment strategies that power millions of rides worldwide.
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.
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.
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.
Lead AI/ML development for autonomous systems, building and deploying models in Python while mentoring junior developers and overseeing full-stack C#/.NET and JavaScript applications.
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…
Build and deploy ML models to classify and extract data from real estate financial reports, then maintain the ETL pipelines that normalize this data for analytics at scale.
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch, with cloud deployment on Azure/AWS/GCP.
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