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Builds and deploys AI-driven predictive models for cardiovascular risk, user engagement, and health recommendations in a healthcare-focused AI platform.
Build and improve a community-feed recommendation system for a stock-trading app used by 4 million monthly active users, using Python, PyTorch, and cloud-native serving stacks.
Riverside Research seeks a Microelectronics Security Data Scientist in Dayton, OH to apply data science, deep learning, and statistical analysis to microelectronic hardware security. Responsibilities include data preprocessing, model development, and presenting findings using Python and ML libraries.
Senior ML Engineer building reusable AI models and infrastructure (Rust/Python simulation engine, grid-data toolkits, ML libraries for forecasting/disaggregation) for utility and energy clients at a climate-focused AI startup.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive…
Senior Data Scientist applying advanced analytics, machine learning, and generative AI (LLMs, RAG pipelines, vector databases) to Medicare/Medicaid claims data to detect fraud, waste, and abuse.
Designs and implements generative AI and agentic systems for enterprise clients, focusing on LLM-powered workflows, tool integration, and reusable architectures.
Design, develop, and maintain GCP data pipelines and data warehousing solutions using BigQuery, Dataflow, Cloud Composer, and Cloud Storage while ensuring data governance and cost optimization.
Senior Data Engineer building secure, automated, scalable GCP data pipelines using Python, Apache Airflow, Apache Druid, and Spark for a global ad-tech DSP platform.
Data Engineer designing and building data pipelines, ETL/ELT processes, and data models using Azure Data Factory, SQL, and big data technologies to support analytics and business insights.
DevOps Enterprise Architect designing and managing MLOps infrastructure using Kubernetes, Docker, CI/CD tooling, and cloud platforms (Azure preferred) for enterprise digital transformation programs.
Build and deploy AI solutions for a medical spa, focusing on customer insights, marketing, and business reporting using Python, LLMs, and cloud services.
Designs and builds AI-powered test automation frameworks for carrier-grade network systems, integrating Python/Java/Go with CI/CD and AI/ML to validate network protocols and cloud-native products.
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop,…
Senior IC role architecting and building production-grade ML, generative AI, and agentic AI systems (LLMs, RAG, SLMs) with MLOps practices for commercial pharma use cases in Bangalore.
The Sr. Principal Machine Learning Engineer will architect and deploy production-grade AI systems, including LLMs, RAG, and agentic workflows, to support pharmaceutical commercial and field engagement use cases. The role involves leading technical design, implementing MLOps/LLMOps practices, and mentoring teams while ensuring scalability, governance, and performance.
Menschen und Technologien zu verbinden, den Perfect Match für unsere Kunden zu gestalten, immer die richtigen Expert:innen für die jeweilige Herausforderung zu finden - das ist unser Anspruch bei FERCHAU und dafür…
The Machine Learning Engineer will design, develop, and deploy production-grade AI solutions with a focus on geospatial applications. The role involves architecting scalable ML systems, implementing MLOps best practices, and mentoring team members using Python, PyTorch, and containerization tools.
The AI Engineer will lead the design and deployment of production-grade machine learning solutions, specifically focusing on geospatial applications. The role involves architecting scalable systems, implementing MLOps practices, and mentoring team members using technologies like Python, PyTorch, and Docker.
The AI Engineer will design, develop, and deploy AI-powered enterprise solutions using machine learning, Generative AI, LLMs, and RAG architectures. The role involves building scalable AI applications, optimizing models, and integrating them into cloud-based microservices architectures.
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