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Develops and deploys LLM-driven agentic systems to accelerate drug discovery workflows, integrating data from LIMS/ELN, structural biology, assays, and DMPK to automate multi-step scientific tasks and improve decision-making for project teams.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Наша команда помогает развивать сеть банкоматов Сбера и обеспечивать ее бесперебойную работу. Мы погружены в разные части этого процесса — от AI-агента в банкоматах нового поколения до автоматизации обработки заявок на…
About Aleut Federal: At Aleut Federal, we believe the company and its mission is just as important as the job you are applying for. Aleut Federal is an Alaskan Native-owned enterprise whose purpose is to support our…
Manages AI platform deployments for public-sector, healthcare, and critical-infrastructure clients, coordinating installations, training, and ongoing support while gathering product feedback to shape the roadmap.
Principal Architect designs and leads Azure-based data platforms and modernization programs, guiding teams to build scalable, AI-enabled solutions while mentoring architects and promoting engineering best practices.
Leads a team of AI/ML specialists to drive Snowflake’s Cortex AI and ML product adoption, bridging field/customer insights with product roadmap decisions to maximize customer outcomes and platform value.
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Senior back-end engineer leading technical strategy for Coupang Eats, designing scalable systems for food delivery, customer experience, and delivery optimization in a Java/AWS environment.
Senior back-end engineer leading the technical vision and execution for Coupang Eats, optimizing scalable systems for food delivery, merchant management, and delivery operations to enhance customer and partner experiences.
A Junior/Middle Computer Vision Engineer curates large-scale image/video datasets, manages annotation workflows, and runs model training/evaluation jobs. They collaborate with senior engineers to analyze model failures and improve data/algorithms, supporting AI/ML lifecycle tasks for production deployments.
Builds and maintains data pipelines and databases to enable real-time analytics for insurance pricing models in Property & Casualty products, collaborating with business leaders to solve complex data challenges using SQL, Python, and dimensional modeling.
Builds and optimizes real-time data pipelines, automates data ingestion, and ensures data quality for analytics and pricing systems using SQL, Python, and dimensional modeling.
Builds and maintains data pipelines and databases to enable real-time analytics for insurance pricing models, collaborating with business leaders to drive profitability and growth in Property & Casualty insurance products.
Builds AI-powered full-stack applications by integrating machine learning models with front-end interfaces and APIs, focusing on seamless user experiences and scalable back-end systems.
Builds and maintains scalable AI/ML data pipelines, integrates diverse data sources, and collaborates with ML teams to deploy models using Terraform/Terragrunt in an Agile environment.
Build and deploy AI models end-to-end, from data pipelines to production, using Python and frameworks like TensorFlow or PyTorch.
The Senior AI Engineer will design and deliver enterprise AI solutions for the banking sector, focusing on the full ML lifecycle, LLM integration, and MLOps. The role involves collaborating with cross-functional teams to build scalable, secure, and compliant AI systems using Python, cloud platforms, and modern orchestration frameworks.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
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