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5-7 years experience across deep learning frameworks like Keras, TensorFlow or PyTorch and machine learning packages (sklearn, etc.) The ideal candidate has both a theoretical and practical understanding of deep learning techniques and has a proven track record in areas such as clinical research, computational biology, probability, statistics, or data science.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Role Overview: We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
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Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities. Provide thought championing in state-of-the-art machine-learning techniques.
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AWS Cloud Engineer w/ Machine Learning Ops. Experience with building data pipelines in getting the data required to build, deploy and evaluate Client models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks.
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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Extensive experience using machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Qualifications Strong expertise in Machine Learning and Deep Learning with hands-on implementation experience, particularly with “noisy” real-world problems.
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About the Position As an Associate Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations and stand up the necessary infrastructure in Azure.
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with native and third-party Databricks integrations (Delta Live Tables, Auto Loader, Databricks Workflows / Apache Airflow, Unity Catalog). Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Technical Leadership: Provide strategic technical direction and mentorship to a team of machine learning engineers, ensuring alignment with organizational goals. Experience: 10+ years of experience in machine learning, with a strong focus on radar and RF signals, video and image processing, classification, real-time signal processing, and embedded systems.
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FL97 is seeking experienced, creative, and talented Machine Learning Researchers (LLMs) across Scientist, Senior Scientist, and Principal Scientist levels to join our team. 5+ years of experience in developing deep learning and/or NLP models.
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