Required Skills & Qualifications:
- Bachelor s or Master s degree in Computer Science, Data Science, or related field.
- Proven experience in AI/ML solution architecture and full-stack AI software development.
- Strong knowledge of Python and AI frameworks (e.g., TensorFlow, PyTorch, Keras, etc.).
- Experience with MLOps, model deployment pipelines, and cloud-native architectures.
- Familiarity with containerization tools (Docker, Kubernetes).
- Exposure to data engineering tools and pipelines (Spark, Kafka, etc.) is a plus.
- Excellent communication and leadership skills, with experience in client-facing roles.
- Ability to work in a fast-paced, agile environment with global delivery teams.
