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The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications.
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Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio. Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive.
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Understanding of key natural language processing, data mining, machine learning and statistical methods. Expertise in Machine Learning, Neural Networks and Deep learning for NLP tasks.
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8+ years on Coding (Python, Java, Scala, or other programming languages), Data warehousing, Database systems (relational and NoSQL), Data analysis, Cloud computing (Azure), Big Data (Hadoop, Hbase), Pyspark, Azure Deltalake, Databricks, DBT, Healthcare domain experience.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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O Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc.
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Strong knowledge of IaC via Terraform HCL, SQL, Python, Apache Spark, Gitlab CI/CD pipelines, MLOps, Databricks Bundles. Collaborate with data engineers to integrate Databricks with other data sources, data warehouses, and data lakes.
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Data visualization with a tool like Tableau or Looker to build dynamic/scalable dashboards and reports. Experience with data extraction, manipulation, and blending across different data sources (Google Analytics, DoubleClick for Publishers, SQL Server, Snowflake, AWS, Salesforce, flat files, etc.
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We seek a talented and dedicated software engineer to support Machine Learning/Natural Language Processing (ML/NLP). Collaborate with Data Scientists and product experts to evaluate opportunities for applying ML and NLP technologies to improve the quality and efficiency of health care; to scale and optimize efficiency of internal processes; and to find insights latent in the data that may not be discoverable otherwise.
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5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform. Define and evangelize the strategy, roadmap, and execution plan to deliver new data science and analytics capabilities to enable Thermo King’s customers and achieve our company purpose while enabling rapid growth.
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Experience or understand of data pipelines and transformations leveraging python and spark/pyspark. 5+ years implementing large scale data projects within the cloud environment.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Operate and enhance Gravie’s AWS CDK-provisioned data infrastructure, to enable data ingestion from a variety of sources using SQL, Python, and core AWS data technologies (Redshift, Glue, EMR, Lambda.
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The specific areas of interest are not restricted and may include expertise in: artificial intelligence (including machine learning and neural networks), computer vision, predictive modeling, electronic health records, big data analytics, digital health and wearable devices, health informatics and clinical research informatics.
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Advanced knowledge of SQL, comfortable writing and debugging SQL queries and extracting from Azure SQL Server; knowledge of diverse data stores and data integration tools is a plus (Azure Databricks, Snowflake, Data Factory, Matillion, etc.
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