Senior Applied AI Developer

Intellectsoft

full-time

Posted on: 9/8/2025

Origin: • 🇧🇷 Brazil

✨ AI Apply

Senior

CloudKerasPySparkPythonScala

About the role

Develop and maintain ML engineering platforms and reusable components.
Deploy ML models and implement feedback loops to monitor and improve their performance in production.
Build robust, testable, and scalable code that meets high quality standards and accounts for potential edge cases.
Collaborate with client-facing teams to gather technical requirements and align solutions with business needs.
Participate in agile development ceremonies (e.g., scrum meetings) and clearly communicate progress, blockers, and dependencies.
Contribute to code reviews, version control practices, and bug tracking processes.
Conduct research and develop prototypes to evaluate emerging tools, frameworks, and architectures.

5+ years of practical experience in Machine Learning.
Solid understanding of ML and Deep Learning fundamentals, including model fine-tuning (especially LLMs).
Proficient in Python; experience with PySpark or Scala is a plus.
Background in backend API development and working with vector databases.
Experience with ML Ops practices such as model monitoring, tracking KPIs, and managing model drift (preferably using MLflow).
Hands-on experience with NLP or computer vision projects.
Familiarity with ML frameworks such as Keras or HuggingFace.
Experience in building feature engineering pipelines, inference workflows, and deploying models for real-time predictions.
Nice to have: Exposure to Big Data systems and data engineering practices.
Nice to have: Knowledge of cloud platforms and architecture, with an understanding of CI/CD pipelines and DevOps practices.
Nice to have: Awareness of modern AI/ML trends, especially in Generative AI and Large Language Models.
Nice to have: Experience designing scalable ML systems that handle large datasets and meet strict performance SLAs.