AWS ML Engineer Role

New

Skills

Aws glue Aws Sagemaker Cloudformation Python Pytorch TensorFlow Terraform

Join Netrix Global as an AWS Machine Learning Engineer and become part of a dynamic team dedicated to delivering tailored cloud-based AI and data solutions for enterprise clients. Work remotely with cutting-edge technologies, supporting business transformation through robust machine learning systems and cloud architectures.

Key Responsibilities
  • Design, build, and optimize data workflows for Machine Learning and Generative AI solutions in AWS cloud environments.
  • Develop and deploy Machine Learning and GenAI models using AWS SageMaker.
  • Create and manage data and model pipelines to enhance efficiency and scalability of AI systems.
  • Prepare, structure, and govern data for advanced AI and GenAI initiatives.
  • Monitor, document, and optimize the performance of deployed models and services.
Required Skills & Qualifications
  • Proven experience in Machine Learning Engineering or Data Science roles.
  • At least 2 years of hands-on experience with AWS cloud services.
  • Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, or similar).
  • Experience with AWS SageMaker, S3, Glue, and Athena.
  • Demonstrated ability to deploy Generative AI models in production environments.
  • Proficiency with DevOps tools (Git, CI/CD pipelines) and infrastructure as code (Terraform, CloudFormation).
  • Advanced English communication skills.
  • Familiarity with Agile methodologies and working in Scrum teams.
  • Knowledge of data lake architecture management for ML workloads.
  • AWS certifications are a plus.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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