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Remote Aws Certified Machine Learning Specialist Jobs

Givzey

Machine Learning Engineer

AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty * Experience with AWS machine learning services * Proficiency in using AWS big data services * Knowledge of serverless ...

Jobgether

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions. You will work across machine learning, data science, analytics ...

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · Remote

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... AWS Certified Machine Learning - Specialty * AWS Certified Solutions Architect - Associate or ...

Cloudelligent

AWS Solutions Architect- AI/ML

Austin, TX · Remote

$64.25 - $84.25/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... AWS Certified Machine Learning - Specialty * AWS Certified Solutions Architect - Associate or ...

Cloudelligent

AWS Solutions Architect- AI/ML

$66.25 - $87/hr

Preferred : • AWS Certified Machine Learning - Specialty • AWS Certified Solutions Architect - Associate or Professional Company : Cloudelligent provides cloud services & consulting partner ...

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How much do remote aws certified machine learning specialist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote aws certified machine learning specialist in the United States is $63,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $75,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Aws Certified Machine Learning SpecialistData Scientist
CertificationsAWS Certified Machine Learning SpecialtyNone specific, often data-related degrees or certifications
Work EnvironmentCloud-based, AWS platform-focusedVaries; often in offices or remote, using various tools
Industry UsageTech, cloud services, AI solutionsFinance, healthcare, marketing, research
Primary FocusDeveloping and deploying ML models on AWSData analysis, insights, and modeling across platforms

The Remote Aws Certified Machine Learning Specialist specializes in deploying ML models on AWS cloud infrastructure, focusing on cloud-based solutions. In contrast, Data Scientists analyze data, build models, and generate insights across various environments. Both roles require strong analytical skills, but their tools and primary responsibilities differ significantly.

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Remote Aws Certified Machine Learning Specialist jobs near you
Infographic showing various Remote Aws Certified Machine Learning Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $63,781 per year, or $30.7 per hour.

Machine Learning Engineer

Remote

Givzey
Administrative Assistance Services • 1 - 10 employees
Learn more about Givzeyexternal

Full-time

Re-posted 28 days ago

Job description

Machine Learning Engineer
We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.
Responsibilities:
  • Design, develop, and implement machine learning models and algorithms
  • Analyze large datasets and extract meaningful insights
  • Collaborate with cross-functional teams to integrate ML solutions into existing systems
  • Optimize ML models for performance and scalability
  • Stay current with the latest advancements in machine learning and AI
  • Create and implement big data processing pipelines and architectures
  • Design and build scalable data infrastructure to support ML applications
Requirements:
  • US Citizen
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 3+ years of experience in machine learning or AI development
  • Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)
  • Solid understanding of machine learning algorithms and statistical modeling
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
  • Proven ability to create and implement big data solutions from scratch
  • Comfortable setting up and managing distributed computing environments
  • Experience in designing and implementing data pipelines for large-scale data processing
  • Proficient in working with various database systems, both SQL and NoSQL, depending on the use case
  • Strong skills in data modeling and database design for machine learning applications
  • Excellent problem-solving and analytical skills
  • Strong communication skills and ability to work in a team environment
Preferred Qualifications:
  • Experience in creating and managing real-time data streaming architectures
  • AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty
  • Experience with AWS machine learning services
  • Proficiency in using AWS big data services
  • Knowledge of serverless architectures on AWS (e.g., Lambda)
  • Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)
  • Understanding of AWS security best practices for machine learning and data processing workflows

What you'll do day-to-day:
  • Be a member of a world-class team focused on inventing solutions that have the ability to impact the world
  • Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code base
  • Help build a beautiful, intuitive product that revolutionizes the nonprofit industry
  • Work closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles
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About Givzey

Sourced by ZipRecruiter

Industry

Administrative assistance services

Company size

1 - 10 Employees

Headquarters location

Boston, MA, US

Year founded

2021

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