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Build and facilitate machine learning across large scale systems and campaigns and ensure deployment and updates in partnership with data engineering. 7+ Years of experience in Data Engineering, Analytics and Machine Learning Systems.
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6+ Years of experience in Data Engineering, Analytics and Machine Learning Systems. Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It's native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB, DataFlow and Vertex AI.
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Master's degree in Computer Science, Data Science, Machine Learning, or a related field with a strong focus on Artificial Intelligence. Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Hands-on experience with one or more deep learning frameworks like PyTorch, TensorFlow, Hugging face, LangChain, LlamaIndex, etc.
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Strong working knowledge of deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training, machine learning, and statistics. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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Support model training and prediction using various types of machine learning techniques on structured/unstructured data, including imagery and text. Join a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Hands on experience with AWS and Windows OS Administration required. Setup High Availability and DR environments in AWS. Willing to take on Production Support. AWS Engineer/Windows SysAdmin to be part of the GPS Cloud Managed Services team.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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2+ years of hands-on experience with machine learning tools and libraries (scikit-learn, TensorFlow/Keras, PyTorch, Huggingface, AWS Sagemaker and/or Databricks etc.
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AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Continuously self-educate on the latest trends and practices in learning.
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Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Role Overview: As a Java Lead Developer with a focus on Java Spring Boot, Microservices, and AWS, you work onn architecting, developing, and maintaining high-performance, scalable applications using these technologies.
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Artificial Intelligence or Machine Learning. Experience in Big Data/Data Warehousing at scale- Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR.
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Experience with Data Processing: Hands-on experience with Databricks (4+ Years ) related to data cleaning, preprocessing, and feature engineering. The candidate should possess hands-on experience in data processing, including data cleaning, preprocessing, and feature engineering.
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machine learning hands on aws jobs Title: data engineer Company: Grotech Search in Dallas, TX
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