MLOps Jobs – Page 21

Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing advanced generative AI systems and ML models. The fellow will be directly involved in ML projects, research publications, and advising on AI-related technologies. The description heavily emp…

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowshi…

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Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing ML models, contributing to research publications, and working with cutting-edge AI systems. The core responsibilities are deeply rooted in AI/ML engineering and research.

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. About the Program The H…

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Why this is a real AI job: The role is explicitly focused on building and deploying machine learning systems for a Generative AI platform. The job description details tasks directly related to core AI/ML concepts like RAG pipelines, knowledge representation, vector databases, and model…

Machine Learning Engineer, Platform London, UK Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build th…

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Why this is a real AI 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…

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Why this is a real AI 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,…

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Why this is a real AI job: The role explicitly focuses on optimizing GPU kernels for GenAI inference, requiring deep expertise in ML, GPU architecture, and performance engineering. The tasks are overwhelmingly centered around AI/ML technologies.

P-1285 About This Role As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of highly-tuned, low-level compute paths, ma…

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Why this is a real AI 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…

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Why this is a real AI job: The role explicitly focuses on building and improving ML/LLM models for a customer data platform. The job description details tasks like model evaluation, production monitoring, and pushing the boundaries of personalization algorithms.

RDQ427R109 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 Platfo…

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Why this is a real AI job: The role explicitly focuses on building and deploying ML/AI models and systems, improving the performance of AI-powered products, and working with foundational models. The description highlights core AI/ML engineering tasks.

P-1439 As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recomm…

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Why this is a real AI job: The role is explicitly focused on building a generative AI platform, including all stages of the ML lifecycle (data generation, training, evaluation, serving, agent-building). The job description heavily emphasizes ML and AI technologies.

P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform prov…

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