Description
You will be responsible for developing and deploying advanced data science solutions.
Responsibilities
- Develop solutions using Python and core Machine Learning libraries (e.g., SciKit Learn).
- Implement deep learning and NLP models using frameworks like PyTorch and Hugging Face.
- Build APIs based on microservices architectures.
- Utilize cloud technologies on at least one major hyperscaler (AWS, Azure, GCP) for AI solution development.
Required Skills
- 5+ years of professional experience.
- Strong proficiency in Python.
- Experience with deep learning frameworks (PyTorch).
- Experience with version control systems (Git).
- Familiarity with Docker and Kubernetes for containerization.
- Knowledge of AI algorithm performance evaluation techniques.
- Experience with cloud platforms (AWS, Azure, GCP).
- Experience developing solutions in an industrial setting.
Preferred Skills
- Knowledge of generative models and LLM theory.
- Experience with LLM serving frameworks (e.g., vLLM, LLMOps).
- Experience with distributed computing frameworks like Ray.