AWS ML Engineer Role

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.