Senior AI Engineer

Job Description

• Design, build, and deploy AI models and intelligent applications using tools and frameworks in the Azure ecosystem (e.g., Azure Machine Learning, Cognitive Services).
• Collaborate with cross-functional teams to identify opportunities for AI integration into products and services.
• Develop data pipelines and preprocess data for model training and inference.
• Evaluate and fine-tune AI/ML models for accuracy, performance, and scalability.
• Monitor and maintain AI models in production environments.
• Contribute to POCs and prototyping efforts involving GenAI models (e.g., Azure OpenAI, Hugging Face Transformers).
• Document technical designs, workflows, and implementation processes.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Experience with machine learning, deep learning, or NLP frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Proficiency in Python and relevant AI/ML libraries.
• Hands-on experience with Microsoft Azure, especially Azure Machine Learning and related services.
• Strong problem-solving skills and ability to work collaboratively.
• Familiarity with Generative AI technologies such as LLMs, prompt engineering, or tools like Azure OpenAI, LangChain, or GPT-based APIs.
• Experience deploying models to cloud-based environments (e.g., AKS, Azure Functions).
• Knowledge of MLOps practices and tools (e.g., MLflow, Azure DevOps, GitHub Actions).
• Familiarity with data engineering tools (Databricks, Azure Data Factory) is a plus.

What about languages?

You will need excellent written and verbal English for clear and effective communication with the team.

How much experience must I have?

• We're looking for someone with 5+ years of experience in similar roles.

Additional Information

Our Perks and Benefits:

📚 Learning Opportunities:

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.

• Access to AI learning paths to stay up to date with the latest technologies.

• Study plans, courses, and additional certifications tailored to your role.

• English lessons to support your professional communication.

👩‍🏫 Mentoring and Development:

• Career development plans and mentorship programs to help shape your path.

🎁 Celebrations & Support:

• Anniversary and birthday gifts.

• Company-provided equipment for remote work.

🌎 Regional Flexibility:

• Other benefits may vary according to your location in LATAM.