Machine Learning Engineer

Proficiency in ML frameworks (e.g., TensorFlow, PyTorch).

Experience with natural language processing (NLP) and large language models (LLMs).

Understanding of generative models and their applications.

Proficiency in programming languages such as Python, Go, or Java.

Experience in developing APIs and integrating AI models into existing systems.

Familiarity with containerization tools (e.g., Docker, Kubernetes).

Experience with (CI / CD) pipelines and databases or data lakes, and / or real-time data processing frameworks.