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We are seeking a highly motivated, experienced, and talented Machine Learning Engineer to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis.
$152,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in recommendation systems, online advertising, ranking, search, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
$137,750 - $337,250 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Gradient boosted trees, neural networks/deep learning, optimization) and a strong desire to further pursue natural language processing techniques, including LLMs. Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Experience with natural language processing or deep learning frameworks such as Tensorflow, Pytorch, or HuggingFace, etc. Optimization Define standards and create reference implementations pattern for machine learning / AI solution and Azure PaaS Responsible for successful analysis, high-level design and delivery of cloud projects Partner with data scientists and machine learning engineers to review and co-optimize technical designs Optimize machine learning and relevant data processing code for scale and robustness.
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You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
$151,800 - $253,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Machine Learning Engineer with cloud experience, you willbe responsible for developing and deploying machine learning models to solve complex problems across a cloudinfrastructure that houses sensitive data and models that support mission critical operations.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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Design and implement machine learning models using Natural Language Processing (NLP) to analyze sentiment analysis around players to determine expected output. Swish is seeking a talented NLP Engineer to join our team and help us push the boundaries of what is possible with machine learning in the field of sports analytics.
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Our client, a startup SaaS company with a suite of big data and cloud solutions, is seeking to hiring a Machine Learning Engineer to join their growing team. Professional experience in a Machine Learning Engineer or Data Analytics-focused role.
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6+ years' experience managing and delivering complex and technical projects, preferably in the data science space 2+ years' experience crafting the strategic direction of technical programs within domain specific industries Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc.
$151,800 - $253,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our group is responsible for developing core solutions in data mining, machine learning, anomaly detection and natural language processing, positively impacting multiple existing Extreme flagship products and new offerings from the company.
$150,000 - $175,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing.
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Work at the intersection of data science and software engineering, building, deploying, and optimizing machine learning (ML) models and pipelines, with a strong emphasis on large language models (LLMs), generative AI (GenAI), and natural language processing (NLP.
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With Natural Language Processing (NLP), Machine Learning, Deep Learning, Optimization techniques and evaluation methodologies. Working closely with our Machine Learning (ML), Artificial Intelligence (AI), and Natural Language Processing (NLP) teams to come up with innovative solutions over a broad scope.
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