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Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow) and data visualization tools (e.g., Tableau, PowerBI). Applying advanced machine learning techniques and algorithms to analyze large and complex data sets, such as supervised and unsupervised learning, deep learning, natural language processing, computer vision, recommender systems, anomaly detection, etc.
$111,720 - $152,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Earned graduate degree (Ph. D. or M.Sc. + 2 years relevant industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics.
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You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision.
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Experience with Artificial Intelligence/Machine Learning (AI/ML) applications for image processing. Develop image processing algorithms for Electro-Optical/Infrared (EO/IR) or Hyperspectral Imagery (HSI) data.
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Deploying machine learning algorithms, working with data developers and solution architects to establish the entire project life cycle in an Azure cloud environment. 6 years An equivalent of six or more years of experience applying advanced statistical concepts, machine learning techniques, forecasting and other methods to solve complex problems using structured and unstructured data.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Develop state-of-the-art UVMf-based top-level and module-level testbenches using block-to-top best practices for reusability, including both control and data plane stimulation using VIP & System Verilog DPI-C integration with existing MATLAB and Python numerical models.
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Demonstrated experience with data mining, machine learning, data science and data interpretation techniques. Build project-specific data pipelines (ETL processes) and validation tools using Python, SQL and AWS cloud technologies.
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In this role you will be using Snowflake, Python, Spark, PySpark, SQL, AWS, Airflow, Redshift, and Databricks. Python, Cloud, Snowflake, Airflow, and Spark professional. A cutting-edge AI Series C well-funded startup that is in a rapidly growing phase, looking to IPOis hiring a Principal/Staff level Data Engineer to join their team.
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Expertise in the physics of additive manufacturing processes such as wire arc DED and laser powder DEDExpertise in physics-based simulation and its integration with machine learning models.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
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Mentor team members and stay current with the latest research to advance organizational knowledge in computer graphics, machine learning and related technologies. Drive the ideation and development of innovative solutions, leveraging your deep understanding of 3D graphics and machine learning.
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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.
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