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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks”. A match may be a passing mention rather than the job itself. Titles only.
87 roles across 96 listings · show every listing · page 4 of 4
…Strong background in AIML libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch Experience prototyping, developing software and implementing data science pipelines and applications…
…You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends, partnering closely with data and full-stack engineers…
…5+ years of experience in Machine Learning and Artificial Intelligence engineering. Experience in applied AI/ML engineering, with a track record of developing and…
…in applied Machine Learning 2-3+ years working with LLMs and novel GenAI technologies. Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture…
Interested in building Amazon Alexa, Machine Learning, and Generative Artificial Intelligence? We're building products and services that power state of the art for…
…ML tools • Research & Experimentation: Conduct applied research to advance the state-of-the-art in LLM applications, including prompt engineering, few-shot learning, fine…
…ML use cases - Experience building datasets or features for machine learning models or self-service analytics - Extensive hands-on experience with Generative AI (GenAI…
…LLM) applications using techniques like prompt engineering, RAG, and/or agents. Expert in architecting GenAI applications/systems using various frameworks & cloud services Good proficiency…
…Principal Scientist to spearhead our AI research and development initiatives. This role offers the opportunity to tackle unprecedented challenges in applied machine learning, including…
…As an AI Data Scientist, you will leverage advanced machine learning deep learning, and statistical modeling techniques to analyze large and complex datasets, extract…
…Our team is a diverse and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions…
…to-end machine learning training pipelines, ideally with experience processing large datasets with Apache Spark. SME knowledge in feature engineering, ML frameworks, model training…