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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, and Machine Learning engineers for full-time positions with clients.
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Provide technical support to other engineers and data scientists in AI and Machine learning methodologies.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Preferred qualifications:Masters Degree in IO or Cognitive Psychology, Learning Sciences, or Human ResourcesPrevious internship or work experience in HR preferredJerry is proud to be an Equal Employment Opportunity employer.
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Hands-on experience with data engineering and/or machine learning on Azure cloud. You will specialize in building cloud-based data platforms incorporating advanced data engineering, data analytics and artificial intelligence technologies for Renewable Energy clients.
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Technical understanding of OT infrastructure including SCADA devices and OsiSoft/AVEVA PI historian systems. Knowledge of Renewable Energy (Solar, Wind, Geothermal etc.) We also have a number of contract roles in the ETRM and Energy space coming up this Summer so if you have experience of wider ETRMs then please do also get in touch with Lydia Brand at X4 Technology.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics. Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics is required.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$165,060 - $242,830 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Applied experience operationalizing machine learning models on large datasets. Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive.
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Various disciplines are involved in Enterprise Data & Analytics, including data source identification and analysis, data engineering, data visualization, and data science/machine learning.
$65,000 - $87,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML). Key skill set: Azure data services, Databricks, Python, SQL, PySpark, GitHub.
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Implement machine learning pipelines and workflows for data preprocessing, feature engineering, model training, and evaluation. Deploy machine learning models to cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
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Collaborate with machine learning engineers and researchers to understand their data requirements and provide tailored solutions for LLM fine-tuning. Are well-versed in various data storage technologies, including distributed file systems (e.g., HDFS, S3), databases (e.g., Cassandra, HBase), and data warehouses (e.g., Redshift, BigQuery.
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Experience with machine learning and artificial intelligence techniques for data analysis. Familiarity with big data technologies and frameworks (e.g., Apache Spark, Hadoop.
$129,300 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning data jobs Company: Pepsico in Texas, TX
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