We are seeking a Full-Stack Machine Learning Engineer to join our team. In this role, you will be responsible for deploying machine learning models on Google Cloud Platform (GCP) and enabling real-time or batch inferencing based on specific business needs.
Key Responsibilities:
- Monitor and optimize model performance, addressing issues as they arise.
- Collaborate with cross-functional teams to develop and deploy robust solutions.
- Implement model governance and MLOps practices.
- Design and develop data science models using traditional and generative AI techniques.
- Manage your own workstream independently while effectively collaborating with regional teams.
- Present innovative solutions and strategies to senior leadership.
Qualifications:
- Proven experience in building and deploying machine learning models.
- Strong hands-on coding skills in Python and SQL.
- Proficiency in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, ONNX, scikit-learn, Keras, SpaCy).
- Familiarity with at least one major cloud platform (GCP, AWS, or Azure).
- Excellent problem-solving skills and the ability to work independently and collaboratively.
#J-18808-Ljbffr
