Tech Stack
AWSAzureCloudCyber SecurityGoogle Cloud PlatformKerasPythonPyTorchScikit-LearnTensorflow
About the role
- Design, develop, and optimize Machine Learning and Deep Learning models
- Build and manage data pipelines to support AI solutions
- Integrate models and algorithms into applications and production systems
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions
- Ensure best practices in code versioning, documentation, and testing
Requirements
- Solid experience with Python
- Proficiency with Machine Learning and Deep Learning frameworks (PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, HuggingFace, LangChain, etc.)
- Strong background in mathematics and statistics applied to AI/ML
- Experience with relational and/or non-relational databases
- Experience with Git and collaborative development practices
- Strong analytical mindset, problem-solving skills, and critical thinking
- (Nice to have) Hands-on experience deploying AI solutions into production
- (Nice to have) Knowledge of MLOps and deployment tools
- (Nice to have) Experience with cloud platforms (AWS, Azure, or GCP)
- (Nice to have) Passion for staying up to date with the latest AI/ML trends and innovations