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Build and own credit-risk models for a B2B Buy Now Pay Later product, deciding which small businesses get funding and on what terms using supervised ML and statistical inference.
Build and ship AI-powered features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Koniag Services Inc., a Koniag Government Services company, is seeking a talented and innovative Data Scientist to support the development and implementation of advanced data science, machine learning, and predictive…
Design and build AI-driven applications using cloud AI services and generative models, integrating them into production-ready pipelines.
Design and build AI-powered applications using cloud services and generative models, ensuring production-ready quality and integrating deep learning, chatbots, and image processing.
Build production-grade AI systems using ML tools, cloud AI services, and generative models like deep learning and neural networks for enterprise solutions.
Design and build AI-powered applications using cloud services and on-prem pipelines, integrating generative models and deep learning into production systems.
Design and build AI-driven data applications in Snowflake using Cortex AI, Cortex Functions, and Cortex Search for semantic search, LLM-powered transformations, and intelligent data retrieval.
Design and architect large language models (LLMs) to process and generate natural language, training on vast unlabeled text datasets and refining model performance.
Build and deploy AI-driven applications using generative models, deep learning, and cloud AI services. Design production-ready pipelines and integrate AI into systems.
Build and deploy AI-driven applications using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
Design and build AI-powered applications using generative models, deep learning, and cloud/on-prem pipelines to deliver production-ready solutions.
Build AI-powered applications and cloud pipelines using GenAI, deep learning, and neural networks, ensuring production-ready quality and collaborating across teams.
Build production-ready AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
Build production-grade AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch to solve complex business problems.
Design and build AI-powered applications and cloud pipelines, integrating generative AI and other models into production-ready systems.
Build and deploy production-grade ML services for a financial-services firm, turning research models into scalable APIs and MLOps pipelines on Azure and GCP.
Research and implement machine-learning models for cybersecurity, optimizing them for latency and edge deployment while collaborating with engineers and security teams.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Part-time consultant advising on computational aerothermodynamics and ML integration for aerospace simulations, requiring deep expertise in CFD and physics-informed neural networks.
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