- 3–5+ years of experience in AI/ML engineering or applied machine learning.
- Proficiency in Python, with knowledge of ML libraries
- Experience with deep learning frameworks (e.g. TensorFlow)
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (Azure, AWS) and ML ops tools (e.g. Azure Machine Learning, MLflow)
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Proficiency in RESTful API development and strong understanding of SQL and relational database design.
- Demonstrated problem-solving ability, with a proactive mindset and eagerness to continuously learn new technologies
- Knowledge of regulatory and security considerations when delivering AI-enabled digital services
- Effective communication skills, able to explain technical concepts to non-technical stakeholders.
- Collaborative mindset and willingness to mentor or guide team members
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