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Job Title: Data Engineer / Google Cloud Platform Developer (AI/ML Focus) Location: Greater Washington, DC Area (On-site 3 days per week) Position Type: Full-time Experience Level: 2-5 years Job Description: We are seeking a talented and dynamic Data Engineer / Google Cloud Platform (GCP) Developer to join our team, focusing on software development and AI/ML (Artificial Intelligence / Machine Learning) capabilities.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with conducting research and the implementation of the latest advancements in machine learning to analyze and process large-scale spatio-temporal data.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Senior Machine Learning Operations Engineer.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support the Laboratory for Analytic Sciences (LAS) in developing and coding a machine learning recommender system for corporate data feeds. Use either Ghost Machine (GM) Pig and/or GMLearn Instant Environment to conduct Exploratory Data Analytics (EDA.
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Preferred Qualifications for the Cyber Engineer:·Experience with cloud security, including AWS, Azure, or GCP.·Knowledge of big data analytics, machine learning, and anomaly detection.
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We are seeking an engineer with a technical background in one of the following disciplines: systems engineering, applied operations research, modeling and simulation, RF and satellite communications, artificial intelligence and machine learning (AI/ML), or applied data analytics.
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Are you a machine learning (ML) engineer or data scientist with development skills who relishes the opportunity to leverage and deploy AI models within a solution? Experience with data engineering and data workflows using cloud-native solutions or tools, including Airflow, Luigi, or Prefect.
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The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
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10+ years of relevant industry experience as a data and machine learning engineer, with a strong track record of shipping successful AI/ML products at scale. The ideal candidate, while overseeing the technical work of 1-3 data and machine learning engineers, will also possess deep subject matter expertise in the areas of AI/ML infrastructure and platforms with a demonstrated history of shipping impactful at-scale AI/ML solutions into production.
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2+ years of professional experience as a Machine Learning Engineer, Data Scientist or in a related role for candidates with a PhD, or 5+ years of experience for candidates with a Master’s degree.
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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The RolePalantir has been selected as the prime contractor for the development and delivery of the Tactical Intelligence Targeting Access Node (TITAN) ground station system, the Army’s next-generation deep-sensing capability enabled by artificial intelligence and machine learning (AI/ML.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago
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