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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc. Understanding of and experience using multiple statistical and machine learning modeling techniques (e.g., generalized linear models, tree-based classification, network analysis, simulation modeling, inferential statistics, natural language processing, other structured and unstructured analytical methods.
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Familiarity with cloud-based platforms (e.g. AWS, Azure) and big data processing tools (e.g. Apache Spark, Snowflake) Proficiency in programming languages such as Python, and expertise in relevant NLP and deep learning libraries and frameworks (e.g. TensorFlow, PyTorch, Spacy, langchain.
$82,000 - $236,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are a multidisciplinary team with expertise in machine learning, data engineering, and software development. Build end-to-end machine learning workflow, from data pipeline, modeling, tuning, evaluation, to continuous improvement, etc.
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Big data: Redshift, Bigquery, Presto, Athena, ElasticSearch etc. Contribute to technical designs and work with Operations teams to implement and support solutions to the data challenges we face in the music industry.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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Experience working as a developer writing Python code along with the Infrastructure as Code (IaC) required to deploy with either AWS CDK or Terraform. Experience working as a developer writing Python code along with the Infrastructure as Code (IaC) required to deploy with either AWS CDK or Terraform.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.) The DarkStar Group is seeking a Machine Learning Operations Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. Below is an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program.
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Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking. Develop cutting-edge, end-to-end data-driven solutions using a diverse range of machine learning approaches, including supervised, unsupervised, clustering, NLP, computer vision, and ranking.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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If you have at least five years of hands-on experience in this field and are well-versed in Python, Terraform, AWS and its artificial intelligence and machine learning services, we have an exciting opportunity for you.
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Exposure to data science methods–such as machine learning, natural language processing, web scraping, and synthetic data—using version control and automated testing environments.
$110,376 - $114,836 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry.
$75,600 a yearExpandApply NowActive JobUpdated Today
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