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Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The opportunity Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. Additionally, you will monitor and evalu
Applied Machine Learning Developers, Data Scientists, and Software Developers responsible for end‑to‑end development and deployment of AI/ML products—including but not limited to predictive & prescriptive maintenance models, intelligent work recommendations, LLM‑driven procedures, and real��
The project scientist will make significant and creative contributions in the area of machine learning & data analytics. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. Expertise in databases, data infrastruct
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 500 million users around
OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch Experience with natural language processing and deep learning Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for
As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, a
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. In this role, you will be responsible fo
Staff Machine Learning Data Engineer. You’ll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. ML , including distributed systems, data extraction, transformation, and loading, and large
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 500 million users around
Strong background in statistical analysis and modeling, including correlation analysis, clustering methods, probability theory, principal component analysis, outlier detection, and data visualization. As a Machine Learning Engineer focused on data, you'll be the expert on what's in our datasets and
You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, a
Candidates should have a minimum of 3 years in software engineering, with at least 2 years in machine learning. A leading AI marketing platform is seeking a Machine Learning Engineer II to enhance its personalization capabilities.
Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction
Applied Machine Learning experience (regression and(cv++ ) Classification, supervised stay, and unsupervised learning). Experience with deep learning betroffen natural language processing, computer hod vision, or reinforcement learning. The Data Scientist/ML Engineer will work directly with data sci
A financial services company is seeking a Director of Machine Learning Engineer to provide technical leadership in developing and productionizing machine learning applications. Responsibilities include optimizing data pipelines and leading initiatives to implement advanced machine learning models. T
Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impac
You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals. Understanding of data structures, data modelling, and software engineering best practices. Strong foundation in mathematics, sta
AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN. Enhance data pipelines, data storage, and data quality to support AI model training and inference. Collaborate with clients and internal data science, analytics, and software engineering teams to deliver high‑impac