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Develops software tools using statistical/biostatistical/machine learning capabilities. The qualified candidate for this position will lead TSL Developmental Test & Evaluation (DT&E) projects, Internal Research and Development (IRaD) projects, and other company divisions with machine learning and artificial intelligence expertise.
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Leverage Databricks for data engineering, analytics, and machine learning tasks within application development. The Full Stack Engineer will collaborate with cross-functional teams, participate in the entire software development lifecycle, and write clean, efficient, and reusable code.
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Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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5+ years of professional engineering experience with modern languages and frameworks (Python, Django or FastAPI preferred) Recognized for its award-winning products, Kandji was recently named the #1 fastest-growing app in Okta’s 2023 Businesses at Work Report and a G2 Best Software 2023 Award Winner for Fastest Growing Products.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA. As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter.
$136,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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IT@JH University Information Systems (UIS) is seeking a Full-Stack Software Engineer who will participate in and/or guide the development and support of administrative and educational/academic computing initiatives, including the Student Information System (SIS) and its extensions, career services system, admissions system and other enterprise systems.
$127,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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As a member of our Full Stack development team, you will collaborate with our software architects, research scientists, and data scientists to design and develop novel, interactive data processing and visualizations that bridge the gap between human users and state of the art machine learning algorithms.
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Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
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100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem. Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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software engineering machine learning full stack jobs Title: software Company: Amberbox Gunshot Detection
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