Senior AI Engineer
Senior AI Engineer
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Salary Not Disclosed
1 Vacancy
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 crossfunctional teams to identify opportunities for AI integration into products and services.
- Develop data pipelines and preprocess data for model training and inference.
- Evaluate and finetune 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 :
- Bachelors or Masters degree in Computer Science Engineering Data Science or a related field.
- Experience with machine learning deep learning or NLP frameworks (e.g. scikitlearn PyTorch TensorFlow).
- Proficiency in Python and relevant AI/ML libraries.
- Handson experience with Microsoft Azure especially Azure Machine Learning and related services.
- Strong problemsolving skills and ability to work collaboratively.
- Familiarity with Generative AI technologies such as LLMs prompt engineering or tools like Azure OpenAI LangChain or GPTbased APIs.
- Experience deploying models to cloudbased 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
Were 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.
Companyprovided equipment for remote work.
Regional Flexibility:
Other benefits may vary according to your location in LATAM.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
