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Experience with machine learning, predictive analytics, and statistical modeling with big data platforms is a plus. As a Data Engineer at Anthro Energy, you will play a pivotal role in leveraging data to drive innovation in lithium-ion electrolyte technology.
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Experience with machine learning algorithms and AI, including the use of frameworks to apply predictive models and advanced analytics within data engineering projects. We are looking for a seasoned Senior Data Engineer to lead the development of a state-of-the-art data warehouse for Archer from the ground up.
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Experience in recommendation systems, online advertising, ranking, search, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
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In addition, you will:Design, implement, and take ownership of mission-critical ETL pipelinesContribute to the architecture and development of near real-time/batch data productsWork closely with business stakeholders, data analysts, data scientists, and machine learning engineers to productionalize analytic solutionsEnable product engineering teams to onboard their data using data mesh principles and architecture.
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Experience and demonstrated proficiency with machine learning frameworks such as PyTorch, TensorFlow, Keras. You will be part of a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI, with specific emphasis in the analog electronic circuit analysis area.
$150,500 - $279,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with machine learning and data science ecosystems especially AWS Sagemaker and Databricks is highly preferred. Familiarity with modern data science and product analytics tools and techniques such as R, Machine Learning, and advanced statistics is a plus.
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We are looking for an experienced and motivated data engineer to work closely with our research scientists, machine learning engineers, and product team. Familiarity with machine learning concepts.
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We're looking for a Machine Learning Engineer who will be responsible for inventing and delivering functionality across Adobe's suite of creative products that radically simplifies typographic decisions and processes for our users.
$135,200 - $250,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
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They lack a Data Scientist / Machine Learning Engineer and seek someone to bridge this gap. Title: Data Scientist Level V / Machine Learning Engineer Level V.
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Establish solid and best data engineering practices, including machine learning optimization for engineers as well as non-technical people. As a Lead Data Engineer on TikTok's Tools and Reporting team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world.
$194,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong understanding of SQL and programming languages (Python, Java, Scala) with a solid foundation in machine learning algorithms and other data science fundamentals. Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection.
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Job Title: Sr. Machine Learning Engineer- Data Recommendation (Capcut) As the Sr. machine learning engineer, you will be responsible for the recommendation algorithms of video creation tools globally, overseeing recommendation distribution and user growth optimization across all apps of CapCut, including Jianying, CapCut, and Hypic, to enhance content distribution efficiency and user growth efficiency.
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The top skills required for this position are - 1) Python backend programming, 2) advanced Linux O/S commands, 3) data analysis, data cleansing & reporting (DA/DC/R), plotting statistical results and matching them against historical results data with Machine Learning, and 4) monitoring the health & performance of hardware system (i.e., CPU, x86 arch., memory, storage, networking.
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Hands on development role working across Engineering, Machine Learning and DevOps. Known for working across a number of areas within the machine learning space, you will be given exposure to a huge number of technologies with the chance to up-skill yourself.
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machine learning jobs Title: data engineer in San Jose, Norwood, Massachusetts
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