Data Scientist
7 months ago
Overview:
**Main responsibilities**:
- Develop and support AI/ML solution using best in-class LLM/DL/ML models and statistical techniques.
- Collaborate with business users, understand requirements, develop design specifications and develop IT solutions for support and strategic projects.
- Support the decision making related to optimal systems landscape in constantly changing environment.
- Resolve production support issues and work towards reduction of support incidents through implementation of long term and sustainable fixes.
**Knowledge and Skills**:
- Experience with data engineering techniques and different platforms including vector DB & knowledge graphs.
- Experience with one or more general purpose programming languages, including but not limited to: C/C++, C#, Python.
- Familiarity with ethical considerations in AI development and deployment.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Ability to work alone and as part of a team in a fast-paced environment.
- Experience with cloud computing platforms like AWS, Azure, or GCP.
- Experience in training and optimizing Generative AI models (GANs, VAEs, diffusion models, etc.) is a plus.
- Hands-on understanding of deep learning, loss functions, and optimization techniques and other ML algorithms and infrastructure is a plus.
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