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Independent Contractor Aws Machine Learning Jobs

NY · On-site

$100 - $140/hr

Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow) * Hands‑on experience working with tabular/time series data with usage of ML * Solid understanding of machine learning ...

New

Senior AWS Cloud Architect

Lafayette, LA · On-site

$61.75 - $81.25/hr

AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted ...

Machine Learning Engineer Remote (US, Canada & Europe) We're partnering with one of the world ... in AWS * Docker and containerized development experience * Ability to operate independently in a ...

New

Putting your model into production using AWS or GCP. Required Qualifications * BS. in Computer ... Ability to work independently, and within a team. * Ability to communicate effectively with non ...

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions ... AWS, Azure, GCP) • Proficiency with MLOps practices including experiment tracking, model ...

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Independent Contractor Aws Machine Learning information

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$394

$1.1K

$2.1K

How much do independent contractor aws machine learning jobs pay per week?

As of Aug 7, 2026, the average weekly pay for independent contractor aws machine learning in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 per week, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an independent contractor AWS machine learning?

To thrive as an Independent Contractor AWS Machine Learning Specialist, you need expertise in machine learning algorithms, data analysis, and proficiency with Python, as well as a strong understanding of AWS services like SageMaker and Lambda. Familiarity with cloud-based ML tools, experience with data pipelines, and AWS certifications such as AWS Certified Machine Learning – Specialty are highly valued. Exceptional problem-solving, communication, and project management skills help you collaborate with clients and deliver solutions efficiently. These skills ensure you can design, implement, and optimize machine learning models in scalable cloud environments, meeting diverse client needs.

What does an independent contractor AWS machine learning do?

An Independent Contractor specializing in AWS Machine Learning works on a freelance or contract basis to design, develop, and deploy machine learning solutions using Amazon Web Services. They may help clients with data preparation, model training, and integration of machine learning models into existing systems using AWS tools like SageMaker, Lambda, and S3. Their responsibilities often include consulting on best practices, optimizing workflows, and ensuring scalable, secure machine learning infrastructures in the cloud.

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

AspectIndependent Contractor Aws Machine LearningData Scientist
CredentialsCertifications in AWS, Machine Learning, and cloud computingDegree in Data Science, Statistics, or related field; often certifications like SAS or Python
Work EnvironmentFreelance, project-based, remote or on-site in cloud environmentsFull-time, corporate or research settings, often in office or remote
Employer & IndustryClients across various industries using AWS cloud servicesOrganizations in tech, finance, healthcare, and research sectors

While both roles involve data analysis and machine learning, an Independent Contractor Aws Machine Learning specializes in deploying models on AWS cloud platforms as a freelancer, whereas a Data Scientist typically works within organizations analyzing data and building models in a more permanent role.

What are common challenges faced by independent contractors working on AWS machine learning projects, and how can they be managed?

Independent contractors in AWS Machine Learning often face challenges such as staying updated with rapidly evolving AWS services, managing project scope with limited resources, and ensuring data security and compliance. To address these, it's important to regularly participate in AWS training, maintain clear communication with clients about project expectations, and follow best practices for security and data handling. Proactively setting up efficient workflows and leveraging AWS documentation and community forums can also help manage technical and logistical hurdles.
More about Independent Contractor Aws Machine Learning jobs
What cities are hiring for Independent Contractor Aws Machine Learning jobs? Cities with the most Independent Contractor Aws Machine Learning job openings:
What are the most commonly searched types of Aws Machine Learning jobs? The most popular types of Aws Machine Learning jobs are:
What states have the most Independent Contractor Aws Machine Learning jobs? States with the most job openings for Independent Contractor Aws Machine Learning jobs include:
Infographic showing various Independent Contractor Aws Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $56,645 per year, or $27.2 per hour.

Sr. DFT Design Engineer, AWS Machine Learning Acceleration

Amazon

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,064 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware in our data centers, including AWS Inferentia and Trainium systems-our custom-designed machine learning inference and training servers. Our success depends on world-class server infrastructure as we handle massive scale and rapidly integrate emerging technologies. We're looking for a Sr. DFT Design Engineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right trade-offs.
Key job responsibilities
• Define and develop state-of-the-art Design for Test (DFT) architectures for advanced technology nodes
• Work closely with block designers and physical design (PD) team to implement highly efficient DFT solutions
• Act as the primary point of contact for cross-functional stakeholders (PD, Architecture, and Product Engineering) to align schedules and goals
• Mentor and develop junior engineers through code reviews, methodology training, and technical guidance
• Manage project timelines and deliverables, ensuring high-quality DFT implementation from RTL through Silicon bring-up
BASIC QUALIFICATIONS
- Bachelor's degree in computer science, electrical engineering, or related field
- 5+ years of practical semiconductor ASIC design work including owning end to end design of major SOC blocks experience
- Knowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time
- Experience with automation script development
PREFERRED QUALIFICATIONS
- Master's degree or Ph.D. degree in Electrical Engineering or related field
- Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs
- Experience with modern ASIC/FPGA design and verification tools
- Experience with SOC bring-up and post-silicon validation
- MS degree in computer science, electrical engineering, or related field
- Experience with gate-level testing and multi-clock design practices (CDC)
- Good breadth of knowledge in chip design from micro-architecture through physical design
- Good knowledge of design verification (DV) simulation methodologies
- Strong programming and scripting skills in Perl, Python or Tcl
- Experience with industry standard DFT/SCAN/ATPG tools
- Experience with STA constraints development and analysis for DFT modes
- Practical experience with silicon debug
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 159,200.00 - 215,300.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US