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Aws Certified Machine Learning Specialist Jobs (NOW HIRING)

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

Our partner is looking for a Machine Learning Specialist based in Netherlands. This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products ...

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 ...

Wipro Limited

Machine Learning Specialist

Saint Louis, MO · On-site

$80K - $158K/yr

Machine Learning Specialist City: St Louis State/Province: Missouri Posting Start Date: 8/18/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

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

As of Aug 27, 2026, the average yearly pay for 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 an AWS Certified Machine Learning Specialist?

An AWS Certified Machine Learning Specialist is responsible for designing, building, and deploying machine learning models on AWS. They leverage AWS services like SageMaker, Lambda, and S3 to preprocess data, train models, and optimize performance. These specialists ensure scalable, secure, and cost-effective ML solutions while following AWS best practices. Their role often involves collaborating with data scientists, engineers, and business stakeholders to drive AI-powered innovations.

What are the daily responsibilities of an AWS Certified Machine Learning Specialist?

As an AWS Certified Machine Learning Specialist, your typical day involves designing machine learning architectures, preprocessing and analyzing datasets, deploying models on AWS services like SageMaker, and monitoring their performance in production environments. You’ll also collaborate regularly with data engineers, software developers, and business stakeholders to define project objectives and integrate ML models into larger systems. Staying current on new AWS features and emerging machine learning best practices is often part of the role. These responsibilities ensure ML solutions remain scalable, secure, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive in the AWS Certified Machine Learning Specialist position, and why are they important?

To thrive as an AWS Certified Machine Learning Specialist, you need expertise in machine learning algorithms, data preprocessing, and cloud computing, often demonstrated by a strong background in computer science or data science and relevant AWS certifications. Familiarity with tools like AWS SageMaker, EC2, S3, and ML frameworks such as TensorFlow or PyTorch is crucial. Excellent problem-solving skills, strong collaboration, and effective communication set candidates apart in multidisciplinary teams. These combined skills enable professionals to design, deploy, and optimize machine learning solutions efficiently and securely on cloud infrastructure.

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Aws Certified Machine Learning Specialist jobs near you
Infographic showing various 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 87% Physical, 2% Hybrid, and 11% 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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