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AWS Artificial Intelligence Engineer @The Data Sherpas

[Hiring] AWS Artificial Intelligence Engineer @The Data Sherpas

Mar 20, 2025 - The Data Sherpas is hiring a remote AWS Artificial Intelligence Engineer. đź’¸ Salary: unspecified. đź“ŤLocation: USA.

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Role Description

This role involves designing, developing, and implementing AI/ML models to solve complex business challenges, collaborating closely with data scientists, software engineers, and business stakeholders.

  • Design and implement AI/ML models using AWS services such as SageMaker, Comprehend, Rekognition, Lex, and Translate.
  • Develop and deploy scalable machine learning models using TensorFlow, PyTorch, and Scikit-learn.
  • Build and optimize data pipelines using AWS Glue, Kinesis, S3, and Redshift to support AI/ML workflows.
  • Ensure AI solutions are efficient, scalable, and reliable in a production environment.
  • Design and implement machine learning training pipelines on AWS.
  • Optimize model performance through hyperparameter tuning and algorithm selection using SageMaker Autopilot and Hyperparameter Tuning.
  • Monitor model accuracy and retrain models as needed to maintain performance.
  • Work with structured and unstructured data to create datasets for training and evaluation.
  • Automate data ingestion and preprocessing using AWS Glue, Kinesis, and Athena.
  • Ensure data quality and integrity for AI/ML workflows.
  • Implement CI/CD pipelines for AI/ML models using CodePipeline, CodeBuild, and SageMaker Pipelines.
  • Deploy machine learning models using SageMaker Endpoints and monitor performance in real time.
  • Ensure model governance, versioning, and auditing processes are followed.
  • Collaborate with business stakeholders to identify AI opportunities and translate them into technical solutions.
  • Evaluate new AI and ML technologies on AWS to improve existing solutions.
  • Provide technical guidance and thought leadership on AI best practices.
  • Ensure AI solutions comply with company security policies and industry regulations.
  • Implement access controls, data encryption, and secure APIs using IAM and KMS.
  • Monitor and audit cloud environments for security vulnerabilities and risks.

Qualifications

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field; Master’s or Ph.D. is a plus.
  • 3+ years of experience designing and implementing AI/ML solutions on AWS.
  • AWS Certified Machine Learning – Specialty certification is required.
  • Strong proficiency with AWS services such as SageMaker, Comprehend, Rekognition, Lex, Glue, Kinesis, and Athena.
  • Hands-on experience with machine learning frameworks like TensorFlow, Keras, PyTorch, and Scikit-learn.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with MLOps and CI/CD tools, including CodePipeline, CodeBuild, and SageMaker Pipelines.
  • Strong understanding of AI/ML algorithms, data structures, and model optimization techniques.
  • Experience with containerization (Docker, Kubernetes) and orchestration using ECS and EKS.
  • Strong analytical, problem-solving, and communication skills.

Preferred Skills

  • Experience with natural language processing (NLP) and computer vision solutions using AWS tools.
  • Experience with automated feature engineering and model interpretability.
  • Familiarity with data lake and data warehouse architectures on AWS.
  • Strong understanding of cloud security and access controls using IAM and KMS.

Benefits

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • 401(k) with company matching.
  • Professional development and training opportunities (including AWS certification).
  • Flexible work environment and remote work options.

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Back to Remote jobs  >   Software Development
AWS Artificial Intelligence Engineer @The Data Sherpas
Software Development
Salary đź’¸ unspecified
Remote Location
USA
Job Type unspecified
Posted Mar 20, 2025
Apply for this position Unlock 53,218 Remote Jobs
️
đź“Ť Be aware of the location restriction for this remote position: USA
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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