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Machine Learning Engineer responsibilities include creating machine learning models and retraining systems To do this job successfully you need exceptional skills in statistics and programming If you also have knowledge of data science and software engineering we d like to meet you.
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Comprehensive Benefits package: Medical, Dental, Vision, 401K, PTO. Keywords: DevOps, Cloud, Azure, AWS, GCP, Oracle, Oracle Cloud, DevOps Engineer, Cloud Engineer, Engineer, GitHub, Gitlab, Clearance, TS/SCI, Bachelors, Engineering, CI/CD, Ft. Liberty, On-site, Jenkins, Information Technology, restoration, concepts, DoD, Government.
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Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs. Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs is needed to qualify for this role.
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Keywords: DevOps, Cloud, Azure, AWS, GCP, Oracle, Oracle Cloud, DevOps Engineer, Cloud Engineer, Engineer, GitHub, Gitlab, Clearance, TS/SCI, Bachelors, Engineering, CI/CD, Ft. Liberty, On-site, Jenkins, Information Technology, restoration, concepts, DoD, Government.
$45 - $57 an hourFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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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.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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However, it is typically filled by a Senior Software Engineer or a Senior Data Science/Machine Learning Engineer. Azure Solutions Architect Expert OR AWS Solutions Architect Professional OR AWS DevOps Engineer Professional OR Google Certified Professional Cloud Architect.
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Study and transform data science prototypes. Understanding of data structures data modelling and software architecture. Apache Spark AWS AI Services AWS S3 AWS SageMaker Azure Cognitive Services Azure DevOps Azure Machine Learning Dataiku Google Cloud Platform Vertex AI Vertex AI.
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Vehicle Systems Engineering (VSE) Feature Tuning & Calibration Engineer (FTCE) ADAS Feature Software Calibration Engineer. Suggest software strategy updates as needed based on outcome from data collected during calibration development.
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Perform complex application design and programming activities in the latest technologies: Java, React, Angular, Node, API, microservices, Kafka, MQ, AWS/Cloud services & infrastructure, Kubernetes, Docker, Jenkins.
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Our specialties are data science and analytics, data engineering, software engineering, and end-to-end analytic solutions architecture. The Data Engineer should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques.
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KW Mission Critical Engineering, a member of WSP USA, is currently initiating a search for a Lead Mechanical Engineer that can be located out of our any of kW offices in: Atlanta, GA, Miami, FL, Tampa, FL, Charlotte, NC, or Raleigh, NC.
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Bachelors degree with 2 years Data Engineering and/or and Software Engineering experienceOr. Associates degree 6 years of Data Engineering and/or Software Engineering experienceOr.
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Familiarity with: Zero Trust Network Access (ZTNA) and Secure Access Service Edge (SASE) frameworks, Identity, Credential, and Access Management (ICAM) (OKTA), Cloud Workload Protection Platform (CWPP), Security Operations Center (SOC) Operations, Vulnerability Threat Management, and Compliance Formal Education Master of Science degree (or higher) in one of the following: computer science, electronics engineering, computer engineering, computer science, information technology, or cyber security.
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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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software engineering data science engineer cloud jobs Title: warehouse worker Company: Dice in Tampa, FL
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