Senior Data Scientist
7 days ago
We are seeking an experienced Senior Data Scientist - Machine Learning Engineer to join our team at Ethereum Technologies LLC. This role is ideal for a skilled professional with a strong background in machine learning and deep learning, who can design, develop, and deploy scalable and efficient models.
About the RoleThis position will focus on developing and implementing advanced machine learning algorithms using high-level frameworks such as TensorFlow, Caffe, or Torch. The successful candidate will have hands-on experience in ML learning DevOps and production environments with multiple model instances or hierarchy of models. In addition, they will be proficient in Python, especially as it applies to the above ML frameworks.
Key Responsibilities- Develop and train population-based or personalized ML/deep learning machine models (image, NLP, video, or audio) for production deployment with retraining capability
- Design and implement scalable and efficient ML architecture using high-level frameworks such as TensorFlow, Caffe, or Torch
- Collaborate with cross-functional teams to integrate ML models into production environments
- Maintain and improve existing ML pipelines and workflows
- 5+ years of experience in machine learning engineering with a strong focus on deep learning
- Proven track record of designing, developing, and deploying scalable and efficient ML models
- Expertise in high-level frameworks such as TensorFlow, Caffe, or Torch
- Hands-on experience in ML learning DevOps and production environments with multiple model instances or hierarchy of models
- Proficient in Python, especially as it applies to the above ML frameworks
Ethereum Technologies LLC offers a comprehensive benefits package, including:
- A competitive salary range of $120,000 - $180,000 per year, depending on experience
- Opportunities for professional growth and development
- A dynamic and collaborative work environment
- Equal opportunity employer with a diverse and inclusive culture
Note: Salary may vary based on location and other factors.
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