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Remote Aws Machine Learning Jobs in Wisconsin (NOW HIRING)

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft ... This remote role is only open to individuals that reside in one of the following states at the time ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft ... This remote role is only open to individuals that reside in one of the following states at the time ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft ... This remote role is only open to individuals that reside in one of the following states at the time ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

Strong foundation in machine learning fundamentals - supervised/unsupervised learning, time-series ... AWS Bedrock, Azure OpenAI, and open-source models) * Working knowledge of RAG architectures, vector ...

Qualysoft

... Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

Cloudera

$171K - $210K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Amgen, Inc.

Senior Data Scientist

Madison, WI · On-site +1

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ... AWS * Experience leveraging AI tools to generate agentic solutions for scientific workflows

Qualysoft

... End Machine-Learning-Workflows von der Entwicklung bis zum produktiven Einsatz. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung moglich Auslastung: 100 % Arbeitsmodell: Remote ...

Wisconsin

Data Solutions Architect

Madison, WI · Remote

The position supports advanced analytics, machine learning, and federated research capabilities ... It is anticipated that this position will be remote and requires work be performed at an offsite ...

Pegasus Knowledge Solutions, Inc

Azure MFA Architect

Racine, WI · Remote

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

Pegasus Knowledge Solutions, Inc

Azure MFA Architect

Racine, WI · On-site +1

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Wisconsin

Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are the most commonly searched types of Aws Machine Learning jobs in Wisconsin? The most popular types of Aws Machine Learning jobs in Wisconsin are:
What are popular job titles related to Remote Aws Machine Learning jobs in Wisconsin? For Remote Aws Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Wisconsin look for? The top searched job categories for Remote Aws Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Aws Machine Learning jobs? Cities in Wisconsin with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you

Senior Data Engineer

SysLogic, Inc.

Brookfield, WI • Remote

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data to reach business goals. They will also provide mentoring to data engineers. They will work closely and collaboratively with our Data Architect and Business Solution Advisor, to develop solutions being increase value and confidence in our clients\' data environments.

Responsibilities:

  • Designs and implements secure data integration solutions for operations and analytics, leveraging best practices to design and implement high-performing ETL/ELT solutions
  • Performs root cause analysis on data sets and processes to answer specific business questions and identify opportunities for improvement
  • Builds and maintains KPI dashboards to disseminate information to measure/track results and drive business decisions
  • Integrate reports, audits, and processes from various business systems
  • Advocates for data quality and increases awareness of data stewardship and data governance concepts among data producers and consumers
  • Assist with defining and maintaining business rules, policies, and governance for data
  • Collaborates with Data Architect on project goals and approach
  • Assist peers and data engineers as needed, to keep the team as productive and efficient as possible
  • Work with QA and development peers to review and test code changes
  • A minimum of eight years of progressive responsibility working as a Data Engineer or Data Integration Developer.
  • Advanced SQL skills with experience working with Microsoft Fabric Lakehouse, Fabric Warehouse, Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured datasets
  • Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science solutions
  • Referenceable work history developing interactive dashboards and data visualizations using Power BI, Fabric Real-Time Intelligence, and Power BI Service
  • Demonstrated capabilities designing, implementing, and supporting cloud-native data platforms utilizing Microsoft Fabric, Microsoft Azure, OneLake, Azure Data Lake Storage Gen2, and Azure data services
  • Strong background working with data integration and orchestration tools including Microsoft Fabric Data Factory, Azure Data Factory, Fabric Pipelines, and related ETL/ELT technologies
  • Experience designing and implementing enterprise data models, dimensional models, data warehouses, Lakehouse architecture, and semantic models within Microsoft Fabric
  • Direct work history working within Agile, Scrum, DevOps, or DataOps development methodologies, including Azure DevOps for project management, CI/CD, and deployment automation
  • Experience with data governance, security, and compliance solutions including Microsoft Purview, Azure role-based access control (RBAC), and Fabric security models
  • Ability to collaborate with business stakeholders, data engineers, analysts, and solution architects to define data requirements and deliver scalable analytics solutions
  • Willingness to travel four to six times per year with no more than 24 days away from home in a calendar year.

This remote role is only open to individuals that reside in one of the following states at the time of application: Wisconsin, Illinois, Iowa, Michigan, Ohio, Indiana, North Carolina, Arkansas, Arizona, Florida or South Dakota.

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Long Term Disability
  • Training & Development
  • Work Life Balance
  • No company politics.
  • Strong employee focused culture.

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