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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.
Lead a team to design, build, and deploy ML/NLP systems and LLM integrations, while setting the technical roadmap and mentoring engineers.
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.
Research role developing AI/ML models to advance next-gen solar cell technologies, analyzing datasets and publishing findings in a university lab.
Research Engineer building and evaluating AI/ML systems in Python, transforming prototypes into production-ready solutions with FastAPI, Docker, and Kubernetes.
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 evaluate AI coding agents that generate and review ML/AI engineering solutions for complex tasks.
Build and deploy AI/ML models for government contracts with a focus on security-cleared software development and operational excellence.
AI/ML Solution Architect – Generative AI & Agentic AI - Fulltime Domain: Healthcare & Life Sciences | Generative AI | Agentic AI | Machine Learning Experience: 10–15 years with strong AI/ML Architecture and AWS…
Build and deploy AI models using Python, TensorFlow, or PyTorch, while mentoring junior engineers and leading innovative ML projects from data prep to deployment.
Build and deploy ML models for proactive AI and self-healing systems that power Grab’s food ecosystem, moving beyond forecasting into reliability and GenAI-driven user experiences.
Build and operate production-grade ML pipelines on Databricks, implementing MLOps practices like CI/CD, model monitoring, and secure deployment while collaborating with data science and engineering teams.
Build production-grade medical imaging AI pipelines, from data prep to deployment, using computer vision and ML in a cloud environment.
Build and deploy production-grade ML systems from validated prototypes, optimizing performance and ensuring global scalability for consumer intelligence solutions.
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 production-grade AI systems from ML prototypes, using Python and Docker to scale models globally.
Build and deploy scalable ML systems from prototypes, using Python and statistics to turn PoCs into global production solutions.
Build and deploy production-grade ML systems that turn prototypes into scalable solutions for global market research, using Python and statistical modeling.
Lead the design and build of JPMorgan’s global AI/ML deployment platform on AWS, owning control plane, APIs, and multi-region infrastructure that powers model deployments at scale.
Build and deploy ML models that optimize hotel pricing using forecasting, reinforcement learning, and experimentation systems, turning data into revenue decisions.
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