. Generalize machine learning (ML) solutions into repeatable frameworks. Operationalize prompted classifiers at scale (batch... scale data processing systems 3+ years' experience building ML data pipelines using atleast one of AML, Promptflow...
of experience AI/ML fundamentals and practical applications, architecting and delivering AI-based solutions. 4+ years of experience...
and drive organizational change. PhD in AI/ML or related fields with top-venue publications and/or patents....
(Azure preferred) and modern data/LLM/ML stacks. Exceptional written and verbal skills; adept at articulating business needs...
and leading large-scale, distributed backend, data, or ML systems in production environments. Demonstrated ability to set... with State-OF-The-Art (SOTA) AI tooling to accelerate software development lifecycle. Experience in data platforms or ML...
, and iterate on self-correcting behavior. You will work at the intersection of backend engineering and applied ML, integrating LLMs...
learning, AutoML, Self-supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning.../streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large...
across large-scale data platforms: Data ingestion pipelines ML model lifecycles Security + identity management Observability... experience documenting AI/ML systems is a bonus (HDI relevance). Why This Role Matters HDI is undergoing a major MDR...
engineering workflows across large-scale data platforms: Data ingestion pipelines ML model lifecycles Security + identity... experience documenting AI/ML systems is a bonus (HDI relevance). Why This Role Matters HDI is undergoing a major MDR...
engineering workflows across large-scale data platforms: Data ingestion pipelines ML model lifecycles Security + identity... experience documenting AI/ML systems is a bonus (HDI relevance). Why This Role Matters HDI is undergoing a major MDR...
, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work...
across product, engineering, and field teams to address complex AI/ML architecture challenges and ensure customer success. Partner... with Engineering, region build, networking, and product to understand the pain points, identify areas of efficiency, and build AI/ML...
designs to serve the needs of various design team Apply AI/ML techniques to enhance circuit design workflows, including... block designs Fluency in virtuoso design environment from schematic capture to GDSII Solid understanding of AI/ML concepts...
at OpenShift/Kubernetes and AI/ML-related conferences, and by engaging in internal and external AI/ML communities of practice.... Collaborate with open source communities to evaluate emerging AI, ML, and data technologies, and create integration examples...
. Responsibilities: Architect, design, and implement scalable AI/ML computing infrastructure for data center, compute, and mobile...
, and other ecosystem partners. Define reusable patterns for embedding AI/ML inference into customer-facing workloads... integrating AI and ML into enterprise-grade products at scale. Expertise in hybrid and multi-cloud architectures, including...
and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization. Drive...: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer...