MLOps Jobs – Seite 22

Warum echter KI-Job: The role explicitly focuses on designing, implementing, and deploying agentic AI systems for government applications. The job description heavily emphasizes ML, LLMs, and related technologies as the core responsibilities.

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role is explicitly focused on the architecture, development, and optimization of the inference engine for large language models (LLMs). The job description details deep technical requirements related to ML inference internals, GPU programming, and distrib…

P-1285 About This Role As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API.. You’ll bridge research advances and production demands, ensuring high throughput, low latency,…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on developing and deploying ML-based search relevance models, NLP pipelines, and evaluating search ranking improvements. The core responsibilities are heavily centered around AI/ML techniques.

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products . Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of milli…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role is explicitly focused on developing and deploying GenAI products, enhancing LLM quality, and building AI-driven features. The responsibilities and requirements heavily emphasize ML engineering, LLM technologies, and data science.

P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products ar…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on architecting and building production-grade ML & AI applications, working with GenAI solutions, and applying MLOps best practices. The job description heavily emphasizes technical expertise in AI/ML technologies.

FEQ427R400 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architectin…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and improving ML/LLM models for a core product (CustomerLake). The job description details tasks such as model evaluation, production monitoring, and algorithm development, all central to AI/ML engineering. The required…

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform s…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and deploying ML models to optimize infrastructure, a core application of AI/ML. The job description highlights the use of machine learning, scheduling, and optimization algorithms as central to the position's impact.

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and deploying production GenAI and LLM applications. The job description highlights expertise in GenAI techniques, tools, and production deployment, indicating a core AI function.

AI Engineer – Forward Deployed Engineering (AI FDE) (ALL LEVELS) CSQ327R177 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-it…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and productionizing GenAI applications, leveraging the latest AI research, and serving as a technical advisor in the AI space. The job description heavily emphasizes hands-on experience with AI/ML tools and techniques.

PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and in…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning solutions, working with AI agents, and developing ML infrastructure. The description highlights core AI/ML tasks as the primary responsibilities.

P-1439 As Applied ML/AI Engineer at Databricks, you will define and create the Agentic Machine Learning revolution. You will help world’s largest companies build and deploy massive classical machine learning solutions (such as personalized recommendations, fraud detection, dynamic pricing, forecast…

Details Quelle / Bewerbung öffnen