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The Role As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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Qualified candidates should have a PhD in at least one of the following fields: biomedical engineering, biomedical informatics, health sciences (nursing, cardiology, health service research, neurology), applied statistics/math, electrical/computer engineering.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow Apache Spark. Leverage expertise in Snowflake's Data Cloud and Machine Learning, and the latest advancements like Generative AI to build POCs and prototypes that demonstrate value to prospective clients.
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Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions. Experience with designing and executing machine learning models and applications. These include but not limited to Python/Pyspark, SAS, CDC cloud environments (Databricks, SAS Viya, Azure Dev Ops etc.
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We are looking to hire a staff machine learning engineer to join our RVO Health data science team. Research the state of the art of machine learning, AI, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Dexian is seeking a Machine Learning Engineer/AI Engineer for an opportunity with a client located in San Francisco, CA. Data Science / Machine Learning => 5/10 experience.
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Has demonstrated proficiency in one or more sub-disciplines of data science, like causal inference, forecasting, simulation, optimization, machine learning, or deep learning, geospatial.
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Key Responsibilities: Comprehensive Analytics Leadership: Develop and implement advanced predictive analytics and machine learning models to optimize supply chain performance, with a special emphasis on labor expense management.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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machine learning jobs Title: expert Company: Bae Systems in Atlanta, GA
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