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This role involves building infrastructure, pipelines, and models for video technology across Apple products. The engineer will work on the full ML lifecycle, including training, performance optimization, and production deployment.
The Principal Product Manager will lead the strategy and development of Upstart's internal experimentation platform, collaborating with ML and engineering teams to build scalable tools for model deployment and testing. This role focuses on unifying experimentation practices and infrastructure to support the company's AI-driven lending marketplace.
Senior to Principal Applied AI Engineers build and deploy AI models and systems for UK public-sector projects, using Python, TypeScript, and cloud platforms like AWS to prototype, evaluate, and iterate on solutions that address government challenges.
This role involves working as a Cloud, Data, or AI engineer within the National Security sector, focusing on cross-functional projects involving cloud infrastructure, data pipelines, and machine learning. Engineers will utilize technologies such as AWS, Azure, Kubernetes, Python, and MLOps to solve real-world security problems.
Lead large-scale data science initiatives for a real-estate platform, defining strategies, mentoring teams, and deploying ML models to solve ambiguous business problems.
Software engineer at Google Research building and optimizing ML/AI systems at scale, including model deployment, data processing, and infrastructure across specialized ML domains.
Senior Product Manager leads AI and analytics initiatives for Motorola Solutions' Avigilon platform, focusing on computer vision, LLMs, and generative AI to enhance physical security systems. Owns product vision, strategy, and execution for AI-driven features, bridging research and engineering to deploy scalable, high-value solutions for real-world security workflows.
The MLOps Engineer will design, deploy, and maintain scalable machine learning pipelines and infrastructure to support connected mobility products. The role involves collaborating with cross-functional teams to automate model lifecycles and ensure production reliability using cloud platforms and DevOps best practices.
The MLOps Engineer will design, deploy, and maintain scalable machine learning pipelines and infrastructure to support connected mobility products. The role involves collaborating with cross-functional teams to automate model lifecycles, monitor performance, and implement CI/CD best practices using cloud platforms.
Staff ML Engineer (Ops/Release) responsible for owning release gates across complex model training phases, ensuring quality/safety standards, and driving improvements in ML delivery pipelines using PyTorch, TensorRT, GitHub Actions, and MLOps tooling.
Designs and maintains a scalable Databricks-based data platform for analytics, AI, and ML, leading a small team and setting technical standards for enterprise data architecture.
Paragon is on a mission to transform the world of cyber intelligence. Based in Tel Aviv, our innovative team is made up of top-tier talent who are passionate about making an impact. At Paragon, you’ll find the freedom…
hackajob is collaborating with Rentokil Initial to connect them with exceptional professionals for this role. As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge,…
Designs and builds scalable data pipelines and AI architectures, deploys deep learning models, and leads statistical modeling for production systems using Python, PySpark, and ML frameworks.
Builds and deploys AI-powered applications for clients, integrating Python, LLMs, and cloud services while collaborating with stakeholders to solve complex technical challenges.
AI Engineer designing, building, and deploying production ML and Generative AI/LLM solutions across the full lifecycle using Python, PyTorch/TensorFlow, RAG pipelines, and MLOps practices.
AI/ML Engineer II 3-8 Years Experience JOB SUMMARY We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team. The ideal…
Build full-stack Generative AI features for Google Docs, including model evaluations and AI-driven productivity tools that impact billions of users.
DevOps Engineer designing, building, and operating scalable AI platforms using Terraform, Kubernetes, Docker, and CI/CD pipelines across Azure and AWS, with a focus on MLOps and GenAI workloads.
Opportunity:DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the…
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