Skills/Experience:
- Bachelor’s/Master’s degree in Computer Science, AI/ML, or related
- 5+ years of experience in AI/ML engineering or applied data science.
- Expertise in Python and frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Strong knowledge of deep learning architectures (CNNs, RNNs, Transformers).
- Experience with LLMs and prompt engineering.
- Proficiency in deploying AI solutions on cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
- Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
- Strong leadership, problem-solving, and communication skills.
