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Company: MojoTech 51-100 $ Private on 2022-01-01 Artificial Intelligence (AI) Product Design Machine Learning Mobile Apps Software Engineering Information Technology FinTech Professional Services.
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CARAS, Cold Harbour, Xero, Sage, Zellis, Snowflake, Power BI, Snowflake, My Learning Cloud, Liquid Logic, GP Connect, Radar. You love technology and want to keep on learning. CARAS, Cold Harbour, Xero, Sage, Zellis, Snowflake, Power BI, Snowflake, My Learning Cloud, Liquid Logic, GP Connect, Radar.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience providing a breadth of architecture leadership around Modern Data Platforms, Cloud Analytics, Visualization, Data Integration, Data Science, Machine Learning, and Data Governance, to include experience working with vendors such as AWS, Microsoft, IBM, Google, Snowflake, Denodo, Talend, Informatica, Collibra, Alation, Tableau.
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Bachelor's Degree in Computer Science, Engineering or related field, expert in Azure DevOps, proficient in Java and Node. Js, strong experience with infrastructure as a Code, strong knowledge of Powershell Management, extensive experience in the use of Kudu, expert in CI/CD in Azure, strong knowledge of Cloud Technologies.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Machine Learning Engineer 3. Share knowledge and best practices with team members to foster a culture of learning and collaboration. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.
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Strong proficiency in Python, Scala, Java, etc., for developing ETL/ELT processes. 2+ years of experience working in cloud platforms such as GCP, Azure, AWS, Snowflake, and othersfor data store, data processing and data consumption.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week.
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Immer im Austausch: Mit Learning Breakfasts und FuckUp Nights pflegen wir eine offene Lern- und Feedbackkultur und ermöglichen dir so den Wissensaustausch mit deinen Kolleg:innen. Du besitzt vertiefte Kenntnisse in gängigen und modernen Technologien wie Cloud (AWS), Docker, SQL, Javascript / Typescript und weitere.
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Hands on coder with good experience in programming languages like Java, Python, C. This individual should have a sound understanding of programming principles, experience in programming in Java, Python or similar languages.
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The Security Governance Partner for Cash App Machine Learning and Data Science (ML/DS) works directly with the teams that build Cash App’s machine learning pipelines and infrastructure and the Cash data scientists to identify and communicate constraints and to evaluate potential solutions, while partnering closely with MLDS Security Engineering to communicate requirements and shape the security posture of the MLDS organization.
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Data Science Model development using machine learning, deep learning also involving machine and sensor data processing. Key expectation is to deliver advanced analytics solution using Predictive Models, Machine Learning, AI, etc.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Strength in the majority of commonly used data technologies and languages such as Python, Java, Go or Scala, Kafka, Spark, Flink, Airflow, Splunk, Datadog, Jenkins, or similar. This role is based out of our Austin, Texas office, reports into the VP Technology of DTS Business Systems and offers flexibility to work remotely as schedule permits.
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Machine Learning : Tensorflow, Scikit learn, Kubeflow, Machine Learning : Dataiku, Azure ML, SageMaker, VertexIA, Databricks ML, Azure Cognitive Services, ML Framework (TensorFlow, Keras, PyTorch.
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machine learning java jobs in Snowflake, AZ
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