Machine Learning Engineer with AWS Expertise

3 semanas atrás


São Paulo, São Paulo, Brasil AllianceIT Inc Tempo inteiro
Machine Learning Engineer in AWS Ecosystem

We are seeking a talented Machine Learning Engineer with expertise in AWS technologies to join our innovative team at AllianceIT Inc.

This is a hybrid position that allows you to work from anywhere in LATAM while collaborating with US clients. As a consultant, you will work directly with clients to design, develop, and deploy machine learning models and large language models (LLMs) that deliver impactful business solutions.

Key Responsibilities:

  • Design and develop machine learning models and LLMs using AWS services, including Amazon SageMaker and AWS Lambda.
  • Collaborate with cross-functional teams to define use cases and ensure seamless integration of machine learning solutions into existing systems.
  • Develop and maintain AI/ML models in production environments, leveraging MLOps practices and CI/CD pipelines.
  • Stay up-to-date with the latest advancements in machine learning and AWS technologies to drive innovation and improvement.

Requirements:

  • 3-5 years of experience as an ML Engineer or LLM Engineer, particularly with AWS platforms.
  • Proficiency in AWS services for machine learning, including Amazon SageMaker and AWS Lambda.
  • Strong programming skills in Python.
  • 2-3 years of experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and natural language processing techniques.
  • Familiarity with data preprocessing, feature engineering, and model evaluation methods.

Bonus Skills:

  • Experience with deploying and maintaining AI/ML models in production environments.
  • Knowledge of MLOps practices and CI/CD pipelines.
  • Understanding of ethical considerations in AI and machine learning.

We offer a competitive salary of $23 to $26 USD per hour, paid national holidays, and a flexible work arrangement that allows you to work from anywhere in LATAM. If you are passionate about machine learning and AWS, and have a strong desire to drive innovation and improvement, we encourage you to apply for this exciting opportunity.



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