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Build and operate deployment pipelines, model serving, and orchestration for AI services in production on AWS, partnering with data scientists to ship ML capabilities at scale.
Senior ML Engineer building learner models (knowledge tracing, longitudinal approaches) for Instructure's education platform, designing training and scoring pipelines, and owning model quality in production using Python.
The Senior ML Scientist on the Activation and Personalization Data Science team will play a key role in maximizing business impact through Owned Media Activation channels (email/push/SMS) and broader personalization…
Senior ML Engineer builds and deploys search and recommendation models using transformers, LLMs, and multimodal approaches to optimize e-commerce discovery and business KPIs at scale.
Builds and optimizes enterprise-grade GenAI systems for Google Cloud’s Gemini Enterprise, focusing on LLMs, RAG, and agentic features to enhance productivity for millions of users.
Senior Software Engineer on Google Cloud's AI/ML team, designing and implementing specialized ML solutions and ML infrastructure (model deployment, evaluation, optimization) using Python and C++.
Senior ML Engineer building and maintaining scalable ML model services and infrastructure for real-time vehicle routing optimization that powers dispatch decisions across a global delivery platform.
The Senior MTS Machine Learning Engineer will lead high-impact ML initiatives for eBay's Ads organization, designing and deploying scalable systems for search, recommendations, and GenAI. This role involves mentoring engineers, collaborating with researchers to productionize models, and ensuring the reliability of ML systems in a 24/7 environment.
Hands-on AI/ML Senior Specialist in Cyncly's Kochi AI CoE, building and fine-tuning on-premises LLMs, RAG pipelines, embeddings infrastructure, and vector search across product use cases using Python, Hugging Face, vector databases, and Kubernetes.
Design and integrate LLM/agent orchestration workflows, RAG pipelines, and AI governance guardrails for USCYBERCOM's AI Enterprise platform using Python and agentic frameworks like LangGraph and NVIDIA NeMo Agent Toolkit.
The Senior Machine Learning Engineer will design and build scalable AI/ML platform infrastructure to support distributed model training for intelligent driving technologies. The role involves optimizing training performance and collaborating with research teams using Python, PyTorch, and cloud-based distributed computing environments.
The Opportunity Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization.…
Build and deploy NLP and multimodal AI systems for real-time analysis of communication data, from ingestion to production-scale modeling.
Sell AWS’s Generative AI and ML services to Automotive & Manufacturing customers, advising on adoption and deployment to drive revenue and solve business problems.
Build and deploy AI/ML models for patient monitoring, transforming physiological signals into clinical insights using Python and deep-learning frameworks.
Senior Deep Learning Software Engineer developing simulation infrastructure for deep learning applications across GPUs. Core technologies include MLIR, C/C++, Python, and compiler optimization.
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
Sr. Director, Product Management - Enterprise AI/ML Sr Director, Product Management (PXDP65) Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value…
The Senior Machine Learning Engineer III will design, build, and optimize Retrieval-Augmented Generation (RAG) systems to deliver accurate, source-grounded AI solutions for legal and professional information products. The role focuses on vector search, document ingestion workflows, and evaluating AI performance to minimize hallucinations.
Build and operate MLOps platforms on AWS for autonomous driving ML workloads, implementing ML pipelines with Airflow and MLflow, managing multi-GPU training, and maintaining infrastructure using Kubernetes/EKS, Terraform, and Python.
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