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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Developer Relations Manager, AI Platform and Tools - MLOps”. A match may be a passing mention rather than the job itself. Titles only.
195 roles across 230 listings · show every listing · page 2 of 8
…This role is part of the AI & ML Platform team and is instrumental in stewardship of a shared foundation of AI and ML development…
…Ensure reliability, availability, and scalability of Qualcomm datacenter AI clusters. Develop and maintain software tools and support infrastructure around AI software stacks. 2. AI…
…management for AI/ML workloads, enabling trusted and well-governed datasets for advanced analytics and model development Desirable Requirements: Analytics, Reporting & Modern Data Platforms…
…Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm). Solid grasp of MLOps tools and practices (MLflow, model monitoring, CI…
…success metrics, and scale solutions through adoption and change management Mentor and develop a high-performing team of AI engineers and researchers, creating a…
…and data pipelines to data platform architecture, BI tooling, and semantic layers - Strong grasp of the AI/ML lifecycle, from data preparation and feature…
…Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they…
…models and business case tools that quantify the value of Connect Customer AI for existing customers transitioning from Connect Customer Basic - Develop and maintain…
…Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring 2. Designing and…
…Large Language Models (LLMs), Generative AI, Computer Vision, Natural Language Processing (NLP), MLOps, and AI engineering on major cloud providers (AWS, Azure). Understanding Our…
…reflection), state management, and tool-calling protocols. Experience designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to…
…MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers. "We are an Equal Opportunity…
…tool-use abuse, unauthorized action-taking, and insecure agent-to-agent or agent to-tool communication. Develop Standards & Reference Architectures: Author AI-related technical…
…AI and ML platforms supporting the Sales teams - including but not limited to Security, CSO, Change, and PMO teams. -Partner closely with Product Management…
…and operational risk, and Develop open-source tools and reference architectures to make it easier to build and manage machine learning and AI workloads…
…In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical…
…platforms, including data processing, data engineering, analytics, and data governance * AI / ML platforms, tools and frameworks for inference, training, MLOps, agent development and coding…
…Contribute to the multi-year platform direction—developer experience, delivery pipelines, and AI-augmented architecture review tooling (e.g., MCP servers, LLM-based rubric…
…Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI…
…emphasis on MLOps/LLMOps and scalable production systems. As an AI Engineer on our team, you will own the infrastructure and tooling that let…
…Lead the development of generative AI-powered search features, and invest in developer productivity and tooling that let the team ship search capabilities faster…
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators…
…Implement security controls for AI systems and deployed models. Develop standards for privacy, compliance, explainability, and risk management. Maintain governance frameworks for enterprise AI…
…Advanced understanding of MLOps, AI/ML, data science platforms, cloud-native architectures, agile-at-scale frameworks (SAFe, LeSS), and quality methodologies including design thinking…
…This role places you at the intersection of product, engineering, and customer success, building production-grade AI systems using Snowflake AI Platform, Cortex, and…