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This position is a great opportunity to use your machine learning, data engineering, and AWS cloud service skills to enable machine learning as a service at scale at Procore.
$156,400 - $215,050 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will be responsible for the strategic development of our data platform within Snowflake, the transition of BI tools from DOMO to Power BI, and the integration of machine learning and AI to optimize business processes and decision-making across all departments.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the mobile gaming space and beyond.
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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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The Learning & Development Leader is responsible for leading a learning team that develops training programs or learning plans to achieve business goals and objectives across multiple locations.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements.
$85,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A strong background in image processing (especially from hyperspectral sensing), computer science, machine learning, and/or engineering will be an advantage. Post doc is sought in the area of data-driven plant science and stress assessment to support remote sensing in environmental engineering, starting in Summer 2024 or shortly after.
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5 years of relevant working experience in the field of Data Mining, Data Engineering Machine Learning and Data Scientist. Experience with machine learning concepts and tools, applied to computer vision, neural networks, object recognition, labeling, decision making and/or training.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Main responsibilities Strategy: Work with internal SMEs to design and execute an overall strategy for making the Tech and Engineering organization an engine of growth and capability development for the broader organization Brand and Messaging: Use a proactive, data-and learner-centric approach to glean information.
$82,900 - $107,680Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a formative member of our research and development team, you will be responsible for pushing the boundaries of machine learning techniques to solve complex problems for renewable energy applications.
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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
$140,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today
training learning and development machine data engineering jobs Company: Capital One National Association
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