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Internship Aws Machine Learning 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 ...

Chefman & CHEF iQ

Machine Learning Engineer

Mahwah, NJ · On-site

... as AWS, Google Cloud Platform, or Microsoft Azure, including their machine learning and AI services. • Experience with multimodal foundation models, vision-language models (VLMs), or other AI ...

New

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

$140K - $170K/yr

... as AWS, Google Cloud Platform, or Microsoft Azure, including their machine learning and AI services. • Experience with multimodal foundation models, vision-language models (VLMs), or other AI ...

New

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI Platform * Docker * Kubernetes

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI Platform * Docker * Kubernetes

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI Platform * Docker * Kubernetes

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How much do internship aws machine learning jobs pay per year?

As of Jun 6, 2026, the average yearly pay for internship aws machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
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Machine Learning Engineer

Machine Learning Engineer

Givzey

Remote

Full-time

Posted 5 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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