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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Experience or interest in data science, machine learning, artificial intelligence, wireless communications, sensors, semiconductors, Internet of Things, Ior related fields. Receive training and development that could lead to becoming a licensed patent agent by the United States Patent and Trademark Office (USPTO.
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Motivated individuals who are looking for a career path to becoming a licensed patent agent with the United States Patent and Trademark Office (USPTO). Patent Specialist – IP PatentsLocation: Atlanta, GA | Charlotte, NCAn AmLaw 50 international law firm’s Intellectual Property – Patents Group is looking for a Patent Specialist with a background in computer science or electrical engineering.
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What you need to succeed (minimum qualifications) Must have minimum of four years verifiable experience as an industrial CNC machine operator and possess the following: a CNC operator certificate, or 2-year degree in - manufacturing technology, or PLC Programming, or Industrial Systems Technology, or Machine Tool Technology required Must be proficient in reading and comprehending mechanical drawings and schematics.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Instead, we seek people with a good understanding of data structures and algorithms and the ability to apply this knowledge in learning new tools. You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Strong background in machine learning, statistical modeling, and data mining. Sr. Data Scientist Artificial Intelligence (Deep Learning) We are seeking a highly skilled and motivated Senior Data Scientist with expertise in deep learning, particularly as applied to a combination of text and structured data.
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Must have minimum of four years verifiable experience as an industrial CNC machine operator and possess the following: a CNC operator certificate, or 2-year degree in - manufacturing technology, or PLC Programming, or Industrial Systems Technology, or Machine Tool Technology required.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability. They will work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability.
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Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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machine learning data jobs Company: Abt Global in Atlanta, GA
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