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Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 7+ years of relevant experience in data engineering roles with primary skills on…
MLOps + DevOps Engineer responsible for operating an AI-native platform with agentic systems, ML workloads, and backend services on AWS. Core technologies include AWS (EKS, Lambda, Bedrock, SageMaker), Kubernetes, Kafka, Terraform, and observability stacks like Grafana, Prometheus, and OpenTelemetry.
Beacon AI is seeking Cloud and ML Infrastructure Engineers to build and maintain scalable AWS infrastructure and LLM platforms for aviation systems. The role involves designing RAG pipelines, managing model inference, and ensuring secure, high-performance deployments using tools like AWS, Python, and LangChain.
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
AI/ML Engineer designing and deploying end-to-end LLM and RAG pipelines, MLOps workflows, and data integration systems on AWS (SageMaker, Bedrock, Lambda, EKS) for enterprise clients in regulated industries.
Build and scale enterprise-grade generative AI systems using Python, AWS, and frameworks like LangChain; design agentic workflows, RAG pipelines, and secure AI services for Fortune 500 clients.
VOLO Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We develop advanced tools to deliver predictive, personalized insights to empower individuals and organizations to make…
Senior Architect at Redapt designs and delivers AI/ML solutions, drives business growth through data science services, and manages client projects and teams using cloud platforms like Azure ML and AWS SageMaker.
Develop, fine-tune, and deploy LLMs and ML systems for a B2B SaaS org-chart platform, building RAG pipelines, MCP servers, and Python microservices integrated into the web and cloud stack.
We're putting together a talented team to build the #1 training platform for Runners We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community…
ENIOR FULLSTACK & AI/ML ENGINEER We're looking for a Senior Fullstack & AI/ML Engineer to implement AI solutions that automate operational business processes. We need someone who can own solutions…
Principal Cloud Architect designs scalable cloud infrastructure, data platforms, and AI-augmented review workflows, prototypes patterns, and hands them off to engineering teams.
Build and scale ML-driven dispute optimization systems, including training, deploying, and monitoring models, plus real-time data pipelines and feature stores for Checkout.com’s fintech platform.
Builds, deploys, and optimizes AI/ML systems for healthcare diagnostics, focusing on scalable, compliant, and production-ready ML services with Python, PyTorch, and cloud platforms.
Build and maintain scalable MLOps infrastructure on AWS to automate ML model training, deployment, and monitoring for a B2B sales-intelligence platform.
DevSecOps/Platform Engineer responsible for standing up, securing, and operating AWS infrastructure powering AI capabilities on a large federal program, with secondary data engineering duties building data pipelines.
Description The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role…
Build and operate large language model serving infrastructure at scale using Python, Kubernetes, and cloud platforms, applying site reliability engineering practices to AI platforms at J.P. Morgan.
This Senior Staff Engineer role involves building and maintaining scalable, cloud-native full-stack applications using Python, React/Next.js, and AWS. The position focuses on microservices architecture, infrastructure management via Terraform, and CI/CD pipeline development.
Data Scientist builds ML models to assess credit, market, and fraud risks for a major Ukrainian bank, using Python, SQL, and cloud tools like SageMaker.
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