…As a Data Engineering Manager leading our Data & ML Platform team, you’ll sit at the intersection of data engineering, real-time systems, and…

…working directly with data warehouses - Proven ability to build dashboards and analytics infrastructure yourself—you don't need a data engineering team to be…

…You will partner with ML engineers and data scientists to build products that work for real patients in a HIPAA-compliant environment. We power…

…Background in data-driven T&E improvement—building dashboards, automating test reporting, or implementing test data platforms. Experience supporting or participating in government-led…

…data and semantic information. You will push the boundaries of safe autonomy and validate your discoveries experimentally on the next generation of robotic platforms…

…vector databases, and semantic search - Agentic workflows and tool-use patterns - Deployment, distributed inference, and optimization of LLMs - Prompt engineering and context management - FM…

…You'll bring deep expertise in data engineering, analytics, and modern data platforms, partnering with field sales teams on complex customer deals, owning senior…

…As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and…

…security, data, AI/ML) with the ability to guide implementations and make informed technical decisions - Bachelor's degree in Computer Science, Engineering, Business, or…

…cloud, and AI/ML. Experience collaborating with engineering and product teams, including architectural development and technical mentorship. Strong project management skills with the ability…

…Experience designing, prototyping, and building complex AI/ML-based solutions for customers; able to reason across components such as data pipelines, models, compute, networking…

…Exposure to ML Ops, data operations, cloud AI infrastructure, GPU-accelerated training, simulation pipelines, synthetic data, or large-scale data management. Ways to stand…

…We are seeking a highly experienced PCB Engineer to drive next-generation Datacenter and High-performance computing (HPC) platforms . This role will focus on…

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team…

…with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases. Mentor and uplift junior engineers through design…

…Experience developing tools, frameworks, APIs, or platforms used by applied scientists, data scientists, or machine learning engineers. Experience building AI systems in healthcare, enterprise…

…CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and…

…You apply ML/GenAI to data platforms - semantic catalog search, auto‑docs, data‑quality anomaly detection, SQL/pipeline generation - with human‑in‑the‑loop…

…We’re leading the data revolution, building the world’s best data and applications platform. Our "get it done" culture empowers everyone at Snowflake…

…Minimum requirements 6+ years of industry experience training, evaluating, and deploying ML models in a production environment Proficiency in Python and common data and…

…San Francisco or Mountain View, California GAQ327R225 Databricks is building an Agentic Enterprise applications Platform a scalable, governed AI application platform built on Databricks…

…Deep experience building anomaly detection systems, heuristics-based rule engines, or ML/RL systems for infrastructure or data-intensive domains. - Threshold & Signal Calibration: Demonstrated…

…modeled datasets for both batch and real-time consumption Partner closely with AI/ML engineers and platform teams to deliver high-quality data for…

…in frameworks like PyTorch or Tensorflow - Strong foundation in data structures, algorithms, and software engineering principles. - Are familiar with methods of training and fine…

…You will work across product, cloud, infrastructure, identity, runtime, data, and developer platforms to protect sensitive data, enterprise and customer environments, models, tools, agents…