Senior AI Expert

Há 15 horas


Florianópolis, Santa Catarina, Brasil beBeeMachineLearning Tempo inteiro R$150.000 - R$200.000

Job Opportunity

We are looking for a highly skilled Senior Machine Learning Engineer to join our team.

About the Job

This is a unique opportunity to work with cutting-edge technology and contribute to the development of innovative products.

As a Senior Machine Learning Engineer, you will be responsible for developing and implementing machine learning models that have real-world impact.

You will work closely with cross-functional teams to implement AI solutions that are fast, scalable, and future-ready.

This role is fully remote, allowing you to work from anywhere in the world.

Responsibilities
  1. Develop and deploy machine learning models for both internal and client projects.

  2. Work closely with the Frameflow team to integrate AI-driven automation into QA processes.

  3. Design and optimize Machine Learning pipelines for scale, efficiency, and performance.

  4. Collaborate with software developers to embed ML models into real-time applications.

  5. Continuously improve the performance of models, focusing on areas such as LLM, RAG, NLP, image recognition, and anomaly detection.

  6. Stay updated on the latest developments in AI/ML and integrate cutting-edge techniques into our workflows.

Requirements
  • 6+ years of experience in Machine Learning, AI, or a related field.

  • Experience with frameworks like TensorFlow, PyTorch, or Keras.

  • Strong experience with Flask and Python for day-to-day code.

  • Experience with serverless, real-time ML architectures, and scalable pipelines.

  • Strong understanding of cloud-based AI architectures, especially in AWS or GCP, like Sagemaker or Airflow.

  • Passion for solving complex problems using data and AI innovation.

Benefits

This role offers a unique opportunity to work on cutting-edge projects and contribute to the development of innovative products.

You will have the chance to work with a talented team of professionals and learn from their experiences.

This role is fully remote, allowing you to work from anywhere in the world and maintain a healthy work-life balance.


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