Artificial Intelligence Engineer

Overview

Remote
Depends on Experience
Full Time

Skills

Artificial Intelligence
Cloud Computing
Computer Vision
Continuous Delivery
Conflict Resolution
Continuous Integration
Database
Deep Learning
Extract
Transform
Load
Generative Artificial Intelligence (AI)
Google Cloud
Google Cloud Platform
Natural Language Processing
NoSQL
Open Source
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Large Language Models (LLMs)

Job Details

Artificial Intelligence Engineer Remote US - LATAM

We are seeking a highly skilled AI Engineer to design, develop, and deploy machine learning and artificial intelligence models. You will work closely with data scientists, software engineers, and product teams to build intelligent solutions that enhance our products and services. This role requires a combination of programming expertise, deep learning knowledge, and an understanding of cloud-based AI technologies.

Responsibilities:

  • Design and implement machine learning (ML) models and AI algorithms.
  • Preprocess and analyze large datasets to train and fine-tune AI models.
  • Optimize and deploy models into production environments (on-premise or cloud).
  • Collaborate with data scientists and engineers to integrate AI solutions into applications.
  • Improve model performance through hyperparameter tuning and optimization.
  • Develop APIs and services for AI-powered applications.
  • Stay updated with the latest advancements in AI and ML technologies.
  • Ensure ethical AI practices and compliance with relevant regulations.

Requirements:

  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
  • Knowledge of deep learning architectures (CNNs, RNNs, Transformers).
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) for AI deployment.
  • Experience in data engineering (ETL, data preprocessing, SQL/NoSQL databases).
  • Experience with MLOps and CI/CD pipelines for AI models is desirable.
  • Strong problem-solving skills and ability to work in agile development teams.

Nice to Have:

  • Hands-on experience with LLMs (Large Language Models) and Generative AI.
  • Understanding of NLP, Computer Vision, or Reinforcement Learning is a plus.
  • Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG).
  • Experience in real-time AI applications and model inferencing optimization.
  • Contributions to open-source AI projects or published research papers.

To be considered for this opportunitty all you need to do is sign up, make sure to complete your profile to be reviewed by our Matching team! If you're the right fit, we'll reach out to you. Due to the high volume of applicants, we may not always provide feedback, but your profile will be considered for this and future openings.

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