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Remote Aws Machine Learning Jobs in Wisconsin (NOW HIRING)

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

EnsoData

Technical Services Engineer

Madison, WI · On-site +1

$80K - $85K/yr

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Hybrid/Remote Company - we are a company with hybrid and remote options. That being said, we have ...

Qualysoft

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

CFS

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

UVeye

Implementation Manager

Milwaukee, WI · On-site +1

$80K - $90K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

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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Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote AWS Machine Learning Engineer, and why are they important?

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 are remote AWS Machine Learning jobs?

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:
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Remote Aws Machine Learning jobs near you
Senior Solutions Engineer - Northeast

Senior Solutions Engineer - Northeast

Cloudera

Remote

$171K - $210K/yr

Full-time

PTO

Posted yesterday

Job description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

At Cloudera, our goal is to make everyone feel valued for their contributions to the company's mission. We are looking for smart people who want to do remarkable things. We strive to build an environment of casual intensity where people enjoy coming to work every single day. We are currently seeking a customer-facing, hands-on technologist with a track record of success to join us.

As a Senior Solutions Engineer you will:

  • Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals)

  • Supporting the technical needs of customers including discovering new use cases for Cloudera's technology

  • Designing solutions for your customers' needs using Cloudera technologies, based on reference architectures and common patterns

  • Demonstrating Cloudera products in a way that inspires your customers to say "yes" to Cloudera

  • Partnering with your Account Managers to show your customers the true value of a Cloudera solution and drive successful sales

  • Presenting product roadmap and vision to inspire your customers to think bigger

  • Interfacing with other Cloudera teams to ensure your customers hear one Cloudera voice

  • Advocating for your customers' needs to Product Management and Engineering

  • Participating in external publicity and evangelism (conferences, meetups, webinars, blogs)

  • Achievements are aligned to a team goal with annual sales targets, as well as to your participation in knowledge exchange with peers and the wider community.

We're excited about you if you have:

  • A passion for using technology to make a difference to people and organizations. We'll supply some amazing tools to help you with this and you'll provide the connection to use cases, which make it real for your customers

  • Bachelor's degree in related field of study or equivalent work experience.

  • A minimum of 8 years experience in a customer-facing role, ideally in a pre-sales context

  • The ability to create and give technical presentations and demonstrations

  • Experience with some of the following technologies:

    • Big Data, Data Warehousing or Relational Databases

    • One or more of the three major cloud service providers (AWS, Azure or GCP). Formal certification is not required, but would be a great thing to have

    • Data Engineering, Data Science or Machine Learning

    • Operations, Security and Data Governance within the enterprise

    • Unix or Linux

  • Experience gathering and understanding customer business requirements

  • Excellent written and verbal communication

  • Problem solving skills

  • A willingness to learn, a curiosity to discover and a drive to make your customers successful

The expected base salary range for this role in

  • New York base salary $171,000 - $210,000

  • Please note that the compensation details listed in our job postings reflect the base salary only, and do not include commissions or bonus as applicable

  • The salary will vary depending on your job-related skills, experience and location

This role is not eligible for immigration sponsorship

(Note: Base Salary Ranges will be calculated from a % of OTE, based on split)

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-MH2

#LI-Remote

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