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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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The Lead Machine Learning Engineer will help craft the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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Job Description: The artificial intelligence platform architect will lead the development of autonomous driving software solutions with modular design and integrated platform to handle machine learning and deep learning simulation systems.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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Develop next-generation technology for image processing, machine learning, and predictive analytics. Expertise in a subset of the following: machine learning, object detection, image segmentation, computer vision, image processing, remote sensing, spectral science, neural models for autonomous vehicles/robotics, structure from motion (SfM), natural language processing (NLP), large language models, data fusion, change detection, and pattern of life analysis.
$229,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ML | AI | Machine Learning | DevOps | Data & Analytics | Infrastructure | CI/CD | Terraform | Gitlab | Azure Devops | AWS | Azure | DataBricks | Ansible | Apache Spark | Kafka | Kubernetes | Docker | Linux.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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Job Description We have multiple openings for Postdoctoral Researchers to join our interdisciplinary team of Computational Bioengineers who will conduct research leading to our next-generation, machine learning-driven computational pipeline for protein design and optimizing protein-protein interactions as part of the Center for Predictive Bioresilience (CPB.
$124,596 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning. Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. 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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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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lead generation machine learning jobs Title: developer
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