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Principal Full Stack Engineer Company Description Butterfly Network, Inc. (NYSE: BFLY) is driving a digital revolution in ultrasound imaging and sensing with its proprietary Ultrasound-on-Chip™ semiconductor technology…
Build and deploy production-grade ML models and MLOps pipelines for a credit union, using Python, PyTorch/TensorFlow, Azure ML, Databricks, and MLflow to drive automation and decision-making.
This senior Solution Architect role involves leading large-scale Databricks implementations and advising enterprise clients on Lakehouse platform architecture. The position requires hands-on expertise in distributed computing, cloud infrastructure, and CI/CD pipelines to optimize production-grade data systems.
Software/AI developer. R&D Location: United States Work Model: Remote Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions Clearance: U.S. citizenship required. Active Secret…
The Principal DevOps Engineer will lead the architecture, scaling, and reliability of the company's Azure-based AI-native cybersecurity platform. This role focuses on building robust CI/CD pipelines, managing containerized microservices, and driving SRE practices to support high-volume security data processing.
About the Role This is a founding sales hire at an early-stage AI software company building intelligent agents for hardware engineering workflows — spanning simulation, CAD, and PLM. You'll own the full new-logo…
Senior Machine Learning Engineer builds and optimizes deep-learning models for customer behavior prediction using PyTorch/TensorFlow, collaborating with client teams to drive business decisions at scale.
Data Engineer at RBC designing and optimizing a cloud data Lakehouse, building ELT pipelines with Python, SQL, Snowflake, dbt, Airflow, and Spark on AWS to support BI, ML, and AI initiatives.
Data Engineer & AI Specialist at Infineon Technologies in Malaysia, building scalable data pipelines, deploying ML/AI models, and developing Power BI dashboards to drive quality improvement and manufacturing excellence.
Full Stack Developer building cloud-native, full-stack applications for the imAI AI/ML platform—frontend UI, backend services, and scalable deployment—using Python, Go, Docker, and Kubernetes.
The Full-Stack Engineer will develop and support cloud-native applications, including frontend and backend services, to enhance the imAI platform and MLOps capabilities using Python, Go, Docker, and Kubernetes.
The Senior Full Stack Engineer will develop and support cloud-native applications for an AI platform, focusing on frontend UI, backend services, and scalable deployments using Python, Go, and containerization technologies.
Full Stack Developer building cloud-native applications for the imAI AI platform—frontend UI with React, backend services in Python/Go, and deployment on Docker/Kubernetes.
The AI Software Architect will lead the design and development of secure, scalable AI-driven SaaS applications. The role involves a 50/50 split between architectural strategy and hands-on coding using Python, LLMs, RAG, and cloud-native infrastructure on AWS.
Lead AI/ML initiatives at a software supply chain security company, building models for malicious behavior and anomaly detection as well as GenAI experiences using LLMs, RAG, and agentic systems, primarily with Python, Databricks, and LLM APIs.
La IA ya no es una conversación sobre tecnología ni una suma de pilotos. Su verdadero potencial está en cambiar cómo las organizaciones deciden, operan y se relacionan con sus clientes. En NTT DATA buscamos una persona…
The MLOps / GenAI Engineer will develop, deploy, and maintain platform functionalities for Generative AI applications, including LLMs, RAG pipelines, and autonomous agents on AWS. The role focuses on building production-ready infrastructure using Python, AWS services, and orchestration tools.
This role involves developing machine learning models, building data pipelines, and deploying models into production using Python, Spark, SQL, and FastAPI. The position is 100% remote and focuses on the end-to-end lifecycle of ML models from experimentation to production.
Build and deploy geospatial AI models to detect pipeline anomalies and dune migration using satellite imagery, SAR techniques, and PyTorch, for a global IT services client.
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