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Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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Model Integration & Scalability: Collaborate with cross-functional teams to integrate data science solutions into scalable, production-grade systems using open-source frameworks like Apache Spark and containerization technologies like Docker.
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Manage and optimize Apache Spark pools for high-performance data processing tasks. Minimum 3 years' experience working with Cloud technologies such as Synapse pipelines, Azure Data Factory (ADF), ADLS, Azure Databricks, Spark, Azure Synapse, and other modern data ETL/ELT technologies.
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Solid background in econometrics, interpretable machine learning, and statistical inference coupled with a robust statistical and analytical acumen; effective communication skills; proficiency in coding with at least one of R or Python, with the ability to utilize the other as needed; creative, initiative, critical thinking, and proactive problem-solving abilities.
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As a Site Reliability Engineer within this team, you will assist in providing software engineering services to a forecasting system owned by the Department of Treasury's Bureau of the Fiscal Service.
$70 - $80 an hourFull-timeExpandUpdated 25 days ago - UpvoteDownvoteShare Job
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Sql, Python, Data, etl, cloud, data visualization, power bi, snowflake, marketing research, azure, data bricks, Java. Apply strong expertise in A.I. using machine learning, data mining, and modeling to design, prototype, and build next-generation knowledge management tools.
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Coordinate with SPARK Academy Program Manager and Lead Case Manager to ensure active enrollment. Perform data processing duties necessary to support case management database and provide reports internally and externally; Ensure accurate and complete client information is entered into SIMS and HMIS.
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Data Engineering - Databricks - ETL / ELT - PySpark, spark SQL. Experience with RDBMS platforms (One/Many of MSSQL, Oracle, Postgres, etc.) Data Engineering - Databricks - PySpark.
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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.
$97,258 - $131,584 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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While initially the role will involve more focus on data engineering and building a connected data ecosystem, the role will evolve into more exposure to leveraging the data to unlock new learning and insights.
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The solution engineer will focus their work on 'data is an asset' thinking across the enterprise, integrating the Data Governance tools implementations of Collibra Data Integration Catalog, Collibra Data Quality, BigID Data Privacy and Retention, and Informatica SaaS MDM/RDM.
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As a Contract Site Reliability Engineer you will report to a Manager and be part of a team that provides software engineering services to a forecasting system owned by the client This role will assist with designing and enhancing existing infrastructure solutions by leveraging experience to help set cloud technology direction.
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Experience with data science libraries such as Pandas, Apache Spark, or SciPy. Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions.
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Recent civil/structural engineering graduates interested in practical field experience under a professional engineer to help bolster their growth are encouraged to apply. Orbital Engineering, Inc. is seeking a Field Inspector to be based in our St. Louis, MO office.
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