Senior Data Scientist

About Ethlas

Officially launched in April 2022, Ethlas is a blockchain company aiming to bring the next billion users into web3 through its 2 core verticals - gaming and security.

In the gaming vertical, Battleshowdown Gambit is the flagship title, where Ethlas aims to popularise the concept of Skill-Fi, the marriage of traditional gaming with sustainable blockchain elements. Also, we’re proud to invest and JV with disruptive and novel concepts like the up and coming gamified options protocol Pok Pok to simplify finance for the masses.

On the security side, Ethlas is building a composable security protocol called Failsafe, which aims to help web3 enterprises and projects keep their ecosystem safe via our proprietary security technology and SDKs.

What you’ll be working on:

• Research, design, and implement generative AI models, including GANs, VAEs, and other related architectures, to solve complex problems and generate synthetic data or content.
  
• Optimize model performance, scalability, and efficiency to meet project requirements.
  
• Collect, preprocess, and curate data for training and evaluation of generative models.
  
• Conduct exploratory data analysis to gain insights into data distributions and patterns.
  
• Train generative models on large datasets using deep learning frameworks such as TensorFlow or PyTorch.
  
• Develop and implement evaluation metrics to assess model quality and performance.
  
• Collaborate with DevOps and engineering teams to integrate generative models into production pipelines.
  
• Ensure end-to-end deployment readiness, including model versioning, monitoring, and error handling.
  
• Deploy generative AI models on cloud platforms such as AWS, or Google Cloud.
  
• Implement containerization (e.G., Docker) and orchestration (e.G., Kubernetes) for efficient model deployment and scaling.
  
• Troubleshoot and resolve issues related to deployed models and production pipelines.
  
• Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to deliver end-to-end solutions.
  

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning or related field
  
• At least 4-6 years of experience in developing and deploying machine learning models in a production environment
  
• Proficiency in deep learning frameworks (e.G., TensorFlow, PyTorch).
  
• Proficiency in Python and familiarity with version control systems (e.G., Git).
  
• Experience with cloud platforms and containerization (e.G., AWS, Docker, Kubernetes).