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Aws Sagemaker Delete Training Jobs (NOW HIRING)

... Bedrock, AWS Sagemaker, alongside Hex for experimentation and Omni for AI context development ... Collaborate with Analytics Engineers and Data Management teams to source model training data from ...

... Bedrock, AWS Sagemaker, alongside Hex for experimentation and Omni for AI context development ... Collaborate with Analytics Engineers and Data Management teams to source model training data from ...

AI Ops

Dallas, TX · On-site

$129K - $165K/yr

Build MLOps pipelines using SageMaker Pipelines for data extraction, preprocessing, training ... AWS Machine Learning Specialty certification.

Senior Data Scientist

San Antonio, TX · On-site

$140 - $210/hr

... Bedrock, AWS Sagemaker, alongside Hex for experimentation and Omni for AI context development ... Collaborate with Analytics Engineers and Data Management teams to source model training data from ...

... Bedrock, AWS Sagemaker, alongside Hex for experimentation and Omni for AI context development ... Collaborate with Analytics Engineers and Data Management teams to source model training data from ...

Design, implement, and maintain ML pipelines for training, testing, and deploying AIML models. Manage and optimize cloud-based ML infrastructure (GCP Vertex AI, AWS SageMaker, or equivalent)

Build and maintain ML Ops infrastructure on AWS SageMaker including model registry, versioning, CI ... Build automated model deployment workflows, training/evaluation pipelines, and retraining ...

New

MLOps

Plano, TX · On-site

... AWS, including deep expertise in Amazon SageMaker (Studio Classic Studio, Pipelines, Model Registry, Endpoints, Feature Store) o 3+ years building and operating production MLOps pipelines -- training ...

Architect ML workloads on AWS: SageMaker (Training Jobs, Processing, Endpoints), EC2/EKS for custom serving, S3 for artifact storage, and IAM for secure access patterns * Optimize for cost and ...

Architect ML workloads on AWS: SageMaker (Training Jobs, Processing, Endpoints), EC2/EKS for custom serving, S3 for artifact storage, and IAM for secure access patterns * Optimize for cost and ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

Strong hands-on experience with AWS SageMaker (Unified Studio strongly preferred), including model training jobs, endpoints, batch transform, and pipelines. * Deep experience with experiment tracking ...

Build and maintain reproducible model training workflows on AWS (SageMaker, S3, Glue, etc.), making retraining, rollback, and experimentation routine rather than heroic. * Deploy and operate real ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

Strong hands-on experience with AWS SageMaker (Unified Studio strongly preferred), including model training jobs, endpoints, batch transform, and pipelines. * Deep experience with experiment tracking ...

Build and maintain reproducible model training workflows on AWS (SageMaker, S3, Glue, etc.), making retraining, rollback, and experimentation routine rather than heroic. * Deploy and operate real ...

Showing results 21-40

Aws Sagemaker Delete Training information

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$82

How much do aws sagemaker delete training jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for aws sagemaker delete training in the United States is $50.23, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $74.04 per hour, depending on experience, location, and employer.

What are the typical responsibilities and challenges involved in managing and deleting training jobs in AWS SageMaker?

As someone managing AWS SageMaker training jobs, you'll often be responsible for monitoring job statuses, ensuring resources are used efficiently, and deleting completed or obsolete training jobs to optimize costs and maintain a tidy environment. A common challenge is making sure all associated resources, such as model artifacts and logs, are properly cleaned up to avoid unnecessary charges. Collaboration with data scientists and ML engineers is typical, as you'll coordinate on when it's safe to remove jobs without disrupting ongoing projects or model evaluations.

What is the difference between Aws Sagemaker Delete Training vs Data Scientist?

AspectAws Sagemaker Delete TrainingData Scientist
Primary RoleManaging and deleting training jobs in AWS SagemakerAnalyzing data, building models, and deriving insights
Required SkillsAWS services, Sagemaker platform, scriptingStatistics, programming (Python/R), data analysis
Work EnvironmentCloud-based, AWS platformVaries: office, remote, or cloud-based
CertificationsAWS certifications helpfulData science or analytics certifications beneficial

While Aws Sagemaker Delete Training focuses on managing specific training jobs within AWS, Data Scientists work broadly on data analysis and model development. Both roles require technical skills but differ in scope and responsibilities.

What does it mean to delete a training job in AWS SageMaker?

Deleting a training job in AWS SageMaker means removing the record of the training job from your SageMaker environment. This action does not delete the underlying resources such as the S3 bucket containing input/output data, or the model artifacts generated during training. It simply removes the job entry from the SageMaker console and API listings. Deleting a training job can help keep your environment organized, but you should ensure that all necessary artifacts are saved before deletion since the job's logs and metadata will no longer be accessible.

What are the key skills and qualifications needed to thrive as an AWS SageMaker machine learning engineer, and why are they important?

To thrive as an AWS SageMaker Machine Learning Engineer, you need strong proficiency in machine learning, data science, and cloud computing, with an educational background in computer science or a related field. Experience with AWS SageMaker, Python programming, and familiarity with CI/CD pipelines and cloud security is typically required, along with AWS certifications like AWS Certified Machine Learning – Specialty. Critical thinking, problem-solving, and effective communication are standout soft skills for this role. These skills are essential to successfully develop, deploy, and manage scalable machine learning models while collaborating with cross-functional teams in a cloud environment.
More about Aws Sagemaker Delete Training jobs
Infographic showing various Aws Sagemaker Delete Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $104,480 per year, or $50.2 per hour.

Artificial Intelligence Engineer II

Blue Cross Blue Shield of Michigan

Detroit, MI • On-site

$55.25 - $73.75/hr

Full-time

Re-posted 20 days ago


Blue Cross Blue Shield of Michigan rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

189th of 304 rated insurance


Job description

Departmental Summary:

The AI Engineer must have prior hands-on experience designing, building, and deploying Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions within large-scale, big data environments. Proven experience delivering projects using Agile methodologies is a mandatory requirement.

Key Responsibilities

Design, develop, and implement end-to-end agentic AI systems that integrate: 

  • Large Language Models (LLMs)

  • Multi-agent orchestration frameworks

  • Enterprise-grade data pipelines

  • Business and operational applications

  • Deliver production-grade solutions that meet enterprise standards for reliability, scalability, performance, and maintainability.

Departmental Preferences:

Hands-on development experience with: 

  • Python, Python FastAPI Framework, Python Django

  • AWS Bedrock

  • AWS Bedrock Agent Core

  • AWS SageMaker Catalog

  • AWS SageMaker AI

  • AWS SageMaker Model Monitor

  • AWS SageMaker Studio

  • Vector Databases (AWS Postgres, Redshift, OpenSearch)

  • AWS DynamoDB

  • AWS S3 / S3 Vector

  • AWS Nova and Anthropic Claude Sonnet

  • Certified AWS AI Practitioner - Foundational

Work closely with clients, business analysts and team members on small to large, complex projects to understand the business requirements that drive the analysis and design of quality technical solutions that align with business and IT strategies and are in compliance with the organization's architectural standards. Provide support in the full systems life cycle for multiple applications to ensure application software is delivered on time and within budget.

  • Code applications using a disciplined development process.
  • Integrate solutions with other applications and platforms outside the framework.
  • Create data extracts and reports from system based on requirements.
  • Develop, execute, and document unit test plans.
  • Support and/or execute all testing efforts across the life cycle.
  • Assist in the deployment of new modules, upgrades and fixes to the production environment. Make modules production-ready by moving them to libraries, completing forms and version control documents, following procedures, etc.
  • Validate deployment.
  • Assist in production support. 
  • Troubleshoot existing information systems to identify errors or deficiencies and develops solutions.
  • Provide ongoing maintenance of applications.
  • Evaluate existing applications and platforms and provides recommendations for improving application performance by conducting gap analysis, identifying feasible alternative solutions, and assisting in the scope of modifications. 
  • Document functions and changes to new or modified modules and test activities/results. 
  • Assist in the development of user guides and training documentation for systems.
  • Participate in project planning processes, as needed.
  • Identify better sources of data feeds and interfaces with architects to ensure their feasibility with corporate data warehouse, when needed. Identify technical requirements, as needed.
  • Create technical design specifications and assist in sizing technical requirements, as needed. Adhere to standards and procedures; check for compliance.
  • Review modules for quality assurance.  
  • Evaluate new application packages and tools and perform research on best practices and provide recommendations for solutions, as needed.
  • Prepare and present formal training to IT staff, as needed. 
  • Provide technical coaching and mentoring to less-experienced team members.
  • Other duties may be assigned.

"Qualifications"

EDUCATION AND/OR EXPERIENCE

  • Bachelor's degree in related field preferred.
  • Three (3) years of advanced programming techniques and application design required.
  • Experience in systems design and have a solid understanding of development, database development, testing, and integration methodologies required.
  • Project management experience preferred.

OTHER SKILLS AND ABILITIES

  • Analytical and systems thinking.
  • Accuracy and attention to detail.
  • Written and verbal communication skills.
  • Ability to work independently, or within a team environment.
  • Other related skills and/or abilities may be required to perform this job.
All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.

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