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Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch). As a Machine Learning Engineer specializing in Google Cloud Platform (GCP), youll lead the charge in developing and deploying cutting-edge solutions that extract valuable insights and drive tangible business outcomes.
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Data Scientists on Riot Esports teams are responsible for feature development in support of Esports live broadcast outcomes, notably defining the algorithms and models used to generate match statistics during broadcasts, and for using statistical analysis and machine learning methods to support the development of narrative and analytical segments for live Esports broadcasts.
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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.
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You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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When performing any tasks involving hazardous chemicals or hazardous waste, the Processing Technician II will follow the regulations and requirements of SPCC Plan, RCRA regulations and operating procedures involving hazardous chemicals outlined in the Huck Fasteners Environmental management.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as R, Python, and SQL, with experience in data analysis and machine learning tools like PyTorch, Pandas, scikit-learn, Tensorflow, or similar.
$115,830 - $129,279 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering and recommendation system.
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Performs basic trial runs to check accuracy of machine settings or programmed control data. Technical Skills - Understands and has working knowledge of the manufacturing production control and use of machinery operation process, procedures and function; use and understand basic computer entry and processing skills.
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Ring Data Management is seeking a self-directed System Development Engineer to develop and operate our AWS cloud data processing systems. - 3+ years of experience with a modern scripting language such as Python, TypeScript, or Ruby.
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Natural Language Processing (NLP): To understand the context and sentiment behind content engagement and social media interactions. Machine learning frameworks like TensorFlow or PyTorch.
$100,000 - $140,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Utilize machine learning algorithms and NLP tools to extract meaningful patterns and insights from unstructured data. Familiarity with machine learning frameworks (like Keras or TensorFlow) and NLP libraries (such as NLTK, spaCy, or Gensim.
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.