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Aws Sagemaker Remote Jobs (NOW HIRING)

Peraton

Cloud AI Engineer

$104K - $166K/yr

Remote, but must reside and perform all work within the United States Work Hours: This position ... Build, train, and deploy machine learning models using managed AI/ML services across AWS (SageMaker ...

Synch-Solutions

AI Consultant

Atlanta, GA · Remote

$75 - $80/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for an AI consultant to join our innovative ... AWS SageMaker, Azure AI, or Google Vertex AI for AI model deployment. · Interpersonal ...

Synch-Solutions

AI Consultant

Miami, FL · Remote

$75 - $80/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for an AI consultant to join our innovative ... AWS SageMaker, Azure AI, or Google Vertex AI for AI model deployment. · Interpersonal ...

SOSi

Data Scientist

OR · On-site +1

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

SOSi

Data Scientist

OR · Remote

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Agilon Health

Lead AI Insights Engineer

$129K - $162K/yr

Remote - USA Job Title: Lead AI Insights Engineer Candidates must be legally authorized to work in ... dbt, AWS Sagemaker/Bedrock, etc. * Experience with AI-enabled development practices and tools ...

agilon health

Lead AI Insights Engineer

$129K - $162K/yr

Remote - USA Job Title: Lead AI Insights Engineer Candidates must be legally authorized to work in ... dbt, AWS Sagemaker/Bedrock, etc. * Experience with AI-enabled development practices and tools ...

Atos

Specialized Sales Executive - Data & AI

SD · On-site +1

United States (Remote | Hybrid Options Available) About Us: We are a next-gen digital ... Understand and articulate how cloud platforms (AWS Sagemaker, Azure AI, GCP Vertex AI, etc.) enable ...

Omada Health

Senior Applied AI Engineer

$107K - $146K/yr

Expertise in machine learning tools (e.g., AWS SageMaker, PyTorch, Hugging Face) * General ... Remote first work from home culture * Flexible Time Off to help you rest, recharge, and connect ...

Omada Health

Senior Applied AI Engineer

$107K - $146K/yr

Expertise in machine learning tools ( e.g. , AWS SageMaker, PyTorch, Hugging Face) * General ... Remote first work from home culture * Flexible Time Off to help you rest, recharge, and connect ...

Corvel

Data Scientist II

Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar ... Remote

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How much do aws sagemaker remote jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for aws sagemaker remote in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

What is an AWS SageMaker remote job?

An AWS SageMaker remote job typically refers to a position where professionals use Amazon SageMaker, a cloud-based machine learning platform, to develop, train, and deploy machine learning models while working remotely. These roles often involve collaborating with teams via online tools, performing data analysis, and building models using SageMaker's suite of features without having to be physically present in an office. This allows for flexibility and access to global talent, as all work can be conducted over the internet while leveraging AWS infrastructure.

What are the key skills and qualifications needed to thrive as an AWS SageMaker remote specialist?

To thrive as an AWS SageMaker Remote Specialist, you need expertise in machine learning, data science, cloud computing, and a strong understanding of AWS services, often supported by a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, Python, TensorFlow, and official AWS certifications such as AWS Certified Machine Learning – Specialty are typically required. Excellent problem-solving, teamwork, and communication skills help you collaborate with distributed teams and translate business needs into technical solutions. These competencies are crucial for efficiently building, deploying, and managing scalable machine learning models in a remote cloud environment.

What are some common challenges faced by AWS SageMaker professionals working remotely, and how can they be addressed?

Remote AWS SageMaker professionals often encounter challenges such as managing secure access to sensitive data, collaborating effectively with distributed teams, and ensuring consistent deployment environments. To address these, it's important to leverage AWS security best practices, use version control and documentation tools, and participate in regular virtual meetings to stay aligned with team members. Additionally, taking advantage of AWS’s integrated collaboration features and establishing clear communication protocols can help mitigate these obstacles and ensure project success.

What is the difference between Aws Sagemaker Remote vs Data Scientist?

AspectAws Sagemaker RemoteData Scientist
Required CredentialsAWS certifications, cloud computing skillsStatistics, data analysis, programming (Python/R)
Work EnvironmentCloud platforms, remote or on-premiseOffice, remote, or hybrid
Industry UsageMachine learning deployment, cloud servicesData analysis, modeling, research

While Aws Sagemaker Remote focuses on deploying and managing machine learning models on AWS cloud, Data Scientists primarily analyze data, build models, and generate insights. Both roles require technical skills, but Sagemaker Remote emphasizes cloud infrastructure and deployment, whereas Data Scientists focus on data analysis and modeling.

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Aws Sagemaker Remote jobs near you
Infographic showing various Aws Sagemaker Remote job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.

Applied AI Engineer Intern / Basketball Operations

Oklahoma City Thunder

Oklahoma City, OK • On-site, Remote

Internship

Posted 16 days ago

Job description

The Oklahoma City Thunder is an elite performance organization and a leading franchise in the NBA. Beyond any single game, season, or outcome, we're driven to shape the future of our industry, our community, and our own legacy in sports.
We're looking for people who want to make an impact-individuals with the courage and ambition to think and work differently and an endless desire to initiate progress. At the Thunder, you're joining a culture that performs at the highest level and empowers you to realize your greatest potential.
As an Applied AI Engineer Intern in Basketball Operations, your work is vital to uncovering valuable insights that help shape the organization's future - influencing strategy, decision-making, and performance to build the optimal conditions for talent to thrive.
You will work with colleagues, internal infrastructure, and internal and external data sources to develop and deploy integrated artificial intelligence applications that support decision making within strategic planning, player evaluation, basketball analytics, and player performance.
Responsibilities:
  • Develop, deploy, and integrate artificial intelligence models into the systems that drive real-time decisions within basketball operations in collaboration with a team of software engineers and data scientists

Qualifications:
  • Working toward an undergraduate, graduate or doctoral degree in computer science or related field
  • Advanced proficiency in Python and relevant ML libraries such as PyTorch, TensorFlow, or JAX
  • Advanced SQL skills and experience querying large analytical warehouses (e.g., AWS Redshift, AWS Athena)
  • Experience building RAG pipelines and fine-tuning foundation models for specific business tasks
  • Experience working with large, spatiotemporal datasets in an AI / ML context a plus
  • Experience with cloud-ML tooling such as AWS SageMaker and Bedrock a plus
  • Experience working with and protecting confidential information
  • Good communication and interpersonal skills with the ability to deliver clear and effective messages to a variety of partners

Additional details:
This is a remote paid internship reporting into the Insight & Foresight pillar. Work schedule may include working on short notice as well as work on evenings, weekends, and holidays. Work hours will total no more than 29 hours per week.
The Thunder recognizes that teams with a variety of backgrounds, perspectives and skills make a stronger company. As an Equal Opportunity Employer, the Thunder organization considers applicants fairly on the basis of qualifications, experience and business needs and provides equal opportunity regardless of race, color, age, sex, ancestry, ethnicity, national origin, religion, veteran status, marital status, pregnancy, disability, gender identity, sexual orientation, or any other legally protected status. Applicants are considered regardless of past legal system involvement, based upon the needs of the role, nature of and recency of legal history. The Thunder is committed to a welcoming and inclusive environment for all employees through its RAVE culture - Respect and Value Everyone.

Apply