Offer summary

Qualifications:

4+ years of professional experience in AI/ML development., Strong programming skills in Python., Proficiency in AI/ML frameworks like TensorFlow and PyTorch., Advanced English communication skills..

Key responsabilities:

Develop and implement AI and machine learning models.

Collaborate with cross-functional teams for AI solutions.

Job description

This is a remote position.

Who We Are:

At Advancio, we are passionate about technology and its ability to transform the world. We are rapidly expanding and building a company where we serve exceptional businesses, hire top talent, and have a lot of fun doing what we love!

Job Summary:

We are seeking a talented AI Developer to design, develop, and deploy intelligent solutions that solve complex problems. The ideal candidate has hands-on experience with machine learning frameworks, AI algorithms, and integrating AI models into scalable applications.

Requirements

Develop and implement AI and machine learning models to solve specific business challenges.
Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.
Train, fine-tune, and deploy models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Design and optimize AI pipelines for data preprocessing, model training, and deployment.
Build and maintain APIs or microservices to integrate AI solutions into existing applications.
Monitor and evaluate the performance of deployed models, ensuring scalability and reliability.
Stay updated with the latest advancements in AI/ML technologies and best practices.

Qualifications:

4+ years of professional experience in AI/ML development.
Advanced English communication skills, both written and verbal.
Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn.
Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
Experience in data preprocessing, feature engineering, and working with large datasets.
Knowledge of cloud platforms (Azure, AWS, or GCP) and deploying AI models in production.
Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
Strong understanding of algorithms, data structures, and mathematics behind AI models.