Apply📍 USA
🧭 Full-Time
💸 175000 - 225000 USD per year
🔍 Technology-led companies in healthcare, cyber, and national security
🏢 Company: Trase Systems
- Proven experience in developing, optimizing, and deploying ML systems in production environments.
- Strong background in building and managing end-to-end training pipelines.
- Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases.
- Proficiency in ML frameworks such as TensorFlow, PyTorch, or similar tools.
- Proficient in Python for writing efficient, clean, and maintainable ML code.
- Ability to distill complex ML concepts for both technical and non-technical audiences.
- Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
- A track record of implementing machine learning solutions that drive value.
- Develop and deploy robust ML models that deliver high-impact results.
- Design and implement efficient, scalable training pipelines for ML models.
- Continuously fine-tune large language models for enterprise requirements.
- Implement and refine feedback loops for ML model improvement.
- Collaborate with product and business teams to translate requirements into ML solutions.
- Stay updated with ML research and best practices to enhance ML infrastructure.
- Mentor junior team members and foster continuous technical growth.
- Communicate ML methodologies and results to non-technical stakeholders.
PythonMachine LearningPyTorchTensorflowCollaboration
Posted about 1 month ago
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