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Remote Aws Machine Learning Jobs in Chicago, IL (NOW HIRING)

Staples, Inc.

AI Engineer III

Lincolnshire, IL · On-site +1

Experience with cloud-based AI services, including AWS, Azure, or Google Cloud Platform. * Published research or conference presentations in Artificial Intelligence or Machine Learning. We Offer:

1 point system

Senior Data Scientist

Chicago, IL · Remote

The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ... Experience with AWS, SageMaker, or similar cloud-based data science environments. * Experience ...

Motorola

Senior DevOps Engineer (US REMOTE)

Schaumburg, IL · Remote

$140K - $170K/yr

Experience designing and deploying solutions to cloud environments (AWS) * Experience with IaC ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Motorola

Senior DevOps Engineer (US REMOTE)

Chicago, IL · Remote

$140K - $170K/yr

Experience designing and deploying solutions to cloud environments (AWS) * Experience with IaC ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Morningstar

Principal Software Engineer

Chicago, IL · On-site +1

$117K - $123K/yr

Remote work requests will be considered consistent with company's remote work policy. Job ... experience in machine learning, including model development and deployment in production ...

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Chicago, IL

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 Chicago, IL? The most popular types of Aws Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Remote Aws Machine Learning jobs in Chicago, IL? For Remote Aws Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Chicago, IL look for? The top searched job categories for Remote Aws Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Aws Machine Learning jobs? Cities near Chicago, IL with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you
Infographic showing various Remote Aws Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Databricks Solutions Architect

Wavicle Data Solutions

Chicago, IL • Remote

$65 - $85.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

A BIT ABOUT WAVICLE

Wavicle Data Solutions is a founder-led, high-growth consulting firm helping organizations unlock the full potential of cloud, data, and AI. We're known for delivering real business results through intelligent transformation-modernizing data platforms, enabling AI-driven decision-making, and accelerating time-to-value across industries.

At the heart of our approach is WIT-the Wavicle Intelligence Framework. WIT brings together our proprietary accelerators, delivery models, and partner expertise into one powerful engine for transformation. It's how we help clients move faster, reduce costs, and create lasting impact-and it's where your ideas, skills, and contributions can make a real difference.

Our work is deeply rooted in strong partnerships with AWS, Databricks, Google Cloud, and Azure, enabling us to deliver cutting-edge solutions built on the best technologies the industry has to offer.

With over 500 team members across 42 cities in the U.S., Canada, and India, Wavicle offers a flexible, digitally connected work environment built on collaboration and growth.

We invest in our people through:
-Competitive compensation and bonuses
-Unlimited paid time off
-Health, retirement, and life insurance plans
-Long-term incentive programs
-Meaningful work that blends innovation and purpose

If you're passionate about solving complex problems, exploring what's next in AI, and being part of a team that values delivery excellence and career development-you'll feel right at home here.

THE OPPORTUNITY

Wavicle Data Solutions is hiring a Databricks Solution Architect, who will be responsible for leading design and implementation of scalable and optimized solutions that leverage the latest Databricks for features.
 
This individual will work closely with customers, understanding their needs and business drivers, and helping them adopt and optimize Databricks for their analytics, data science, and AI/ML workloads. They will provide thought and technical leadership, ensure best practices, and align customer strategies with Databricks' offerings.
 
They will also be part of a team helping the company identify and build point of views for the market and determine our Databricks Goto-Market strategy.
WHAT YOU WILL GET TO DO
  • Solution Design: Develop data architecture solutions and reference architectures for customers using Databricks.
  • Customer Engagement: Work closely with clients to understand their business goals and technical needs, ensuring optimal use of the Databricks platform.
  • Pre-Sales Support: Provide technical expertise during the pre-sales process, conducting workshops and proof-of-concept (POC) projects.
  • Technical Leadership: Lead complex projects involving Databricks integration with cloud environments such as AWS, Azure, or GCP.
  • Performance Optimization: Help customers optimize performance for large-scale data processing, streaming, and machine learning workflows on Databricks.
  • Training and Mentorship: Guide customers and internal teams on best practices in data engineering, machine learning, and AI using Databricks.
  • Collaboration: Work cross-functionally with engineering, product, and sales teams to deliver successful implementations.
  • Market Strategy: Help the company identify market needs, define a Go To Market strategy, and execute on that strategy
WHAT YOU BRING TO THE TEAM
  • Required Qualifications:
  • Experience: 10+ years of experience in data engineering, data architecture, or related fields. Hands-on experience with Databricks is a must.
  • Cloud Experience: Proficiency in cloud platforms (AWS, Azure, GCP), with strong knowledge of cloud-native technologies and services.
  • Programming Skills: Expertise in Python, Scala, and SQL for large-scale data processing.
  • Data Engineering: Experience in designing and implementing data pipelines, ETL processes, Dev/Ops, Security/Ops and data lakes.
  • Machine Learning: Familiarity with ML workflows and libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Big Data Tools: Strong experience with big data tools like Apache Spark, Hadoop, and Delta Lake.
  • Communication: Excellent communication and interpersonal skills to effectively engage with both technical and non-technical stakeholders.
  • Preferred Qualifications:
  • Certifications: Databricks certifications or cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, etc.).
  • Experience with Data Governance: Knowledge of data governance, security practices, and compliance in the cloud environment.
  • Key Competencies:
  • Problem-solving mindset
  • Strong customer-facing skills
  • Ability to engage with C-level, especially CTO and CDO
  • Strategic thinking with a focus on scalable and efficient architectures
  • Ability to create content for Databricks market and sales support
  • Ability to work independently and in team settings
WAVICLE BENEFITS
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Unlimited Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Employee Assistance Program
  • Training & Development
  • Work From Home
  • Bonus Program
#LI-MS1

EQUAL OPPORTUNITY EMPLOYER

Wavicle is an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We welcome and encourage diversity in the workplace regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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