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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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Our Data Science team works on specialized engagements involving data acquisition, data visualization, and machine learning models built upon a plethora of data from sensors, cutting-edge hardware prototypes and experimental devices.
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In this role, you will lead teams designing and building data solutions that capture, explore, transform and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Exposure to modern AI concepts such as generative AI, various models of machine learning, large language models, conversational AI (chatbot, etc.) As a Cloud Data Engineer on the team, you will be responsible for leading the technical design and development of cloud-enabled, DevOps, multi-platform, and cross-functional applications that solve complex business problems.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Building robust data pipelines that integrate data science and machine learning models, leveraging Spark, Airflow, and MLflow. As a Data Engineer, you will be part of the OpsGuru professional services team architecting, designing, automating, and deploying production-grade data services and flows on behalf of our customers to a variety of public clouds such as AWS, Google Cloud and Azure.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
ExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Experience in building and deploying AI/ML stacksvia CI/CD and pipeline orchestration tools in cloud production environments/containers in ECS/EKSrequired– including data pipeline, CDK/SDK, Cloudformation/Terraform, and familiar with AWS services and various ML/Deep Learning tools.
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We are looking for a CUSTOMER-OBSESSED, TEAM-DRIVEN, RESULT-ORIENTED, SDE to take our big data, analytics, and machine learning services to the next level of scale, availability, and performance.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will be responsible for building the systems/services supporting operations, quality, health, machine learning, and analytics associated with AWS cloud hardware across the globe.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This role is a dynamic Agile engineering position where you will partner with your teammates on our development team and peer data scientists to: assist with data analysis, reporting and research; conduct tactical data extracts and build balanced ETL data pipelines; deploy AI/Machine learning models via RESTful APIs; and structure model output data and build reports to measure deployed model efficiency.
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This organization generates ground truth data which is used to train machine learning models. In this initiative we will tackle some of the most intriguing problems in software architecture design and building highly scalable services.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. In addition to ingesting data from multiple sources and relaying information to relevant partners, you will also mentor and develop a team of data engineers.
$134,800 - $222,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Engineer specializing in fraud detection services, you will play a pivotal role in our technology team, focusing on building robust data pipelines and scalable infrastructure within a Hadoop environment.
$135,000 - $170,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The team works with various data formats such as audio, video, and images, and packages this information to be used by internal stakeholders including data modeling and product teams.
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team building services machine learning jobs Title: data engineer
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