Key Responsibilities:
- Develop and implement deep learning models for various applications.
- Work with large datasets and perform exploratory data analysis.
- Develop custom loss functions and evaluation metrics.
- Collaborate with cross-functional teams to ensure successful deployment of models. - Optimize models for performance, scalability, and efficiency.
- Conduct research and stay up to date with the latest developments in the field of deep learning.
- Participate in code reviews and provide feedback to team members.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field with 3+ years of experience.
- Strong proficiency in Python programming language.
- Good understanding of data structures and algorithms.
- Strong understanding of statistics and probability distributions
- Hands-on Experience with GANs and Transformers
- Experience with both Tensorflow and Pytorch frameworks.
- Familiarity with Google Cloud Platform (GCP) and working on GPU based machines.
- Strong problem
- Solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently as well as in a team environment.
- Strong Communication skills and ability to simplify complex information and results into simple concepts and actionable insights for a variety of audiences.
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