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Senior Data Scientist builds and deploys ML models for a top Mexican retailer, using Python, SQL, PySpark, and cloud tools to solve business problems and collaborate with engineering teams.
Build and optimize AI-driven ad targeting, delivery, and revenue systems using machine learning and analytics for a personalized content platform.
Build AI-powered developer tools and agents that streamline coding workflows for Apple engineers, integrating AI into the software development lifecycle using Java, Python, and agent frameworks.
Develop AI/ML models to predict and optimize organoid growth protocols for biomedical research, using Python, TensorFlow/PyTorch, and biological data analysis at a NIH-funded center in Frederick, MD.
Build and deploy machine learning systems that predict, monitor, and optimize battery manufacturing processes using real-time plant data and operational context.
Lead a team to design, build, and scale enterprise-grade AI systems—including RAG, LLM agents, and retrieval pipelines—for legal, tax, and compliance domains using Python, cloud-native tools, and MLOps/LLMOps practices.
Part-time remote role building enterprise AI systems that turn technical documents into structured knowledge using LLMs, RAG, and semantic search for industries like defense and manufacturing.
Develops and optimizes SIMD kernels for AI operators (e.g., softmax, layer norm) to run on next-gen hardware, focusing on performance and SDK usability for generative AI compute engines.
Principal engineer builds and scales the AI inference software stack for d-Matrix’s custom compute engine, optimizing hardware-software co-design and collaborating across ML, compilers, and hardware teams.
Designs and deploys machine learning models and optimization pipelines to transform real-time operational data into predictions and automated actions for protein production management.
Our client is a woman-owned firm that specializes in custom Software Development, Big Data Analytics, Data Science, and Cloud Computing for both government and commercial customers. They provide cloud solutions…
Designs AI-driven systems that recursively optimize compute workloads and hardware, using agentic loops, performance profiling, and reinforcement learning to improve correctness, speed, and efficiency.
Hands-on systems engineer designing and modernizing hybrid cloud and on-prem infrastructure, platforms, and applications while ensuring reliability, security, and scalability.
Build and lead AI/ML systems for predictive maintenance and asset intelligence using LLMs, time-series models, and Industrial IoT data to automate workflows and prevent failures across industrial sites.
Build and deploy AI/ML models and Generative AI solutions for life and annuities insurance tech, using Python, LLMs, and scalable ML pipelines.
Senior MLOps Engineer designs and maintains Azure-based infrastructure for AI/ML workloads, automates CI/CD pipelines, and ensures scalable, secure cloud operations for a global SaaS provider.
Neurosoft Bioelectronics is developing next-generation AI for decoding neural time series (high-density subdural ECoG LFPs). We seek an intern machine learning scientist with interest in sequence modelling, state-space…
Technical Resilience FDE Manager As a Manager, AI Engineering (Forward Deployed Engineer) in Deloitte Cyber, you will be embedded in a client's environment to design, build, and ship production-grade AI…
Design and deploy AI/ML models to optimize manufacturing processes, predict quality issues, and improve operational efficiency using Python, PyTorch/TensorFlow, and MLOps tools.
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