Senior ML Engineer, Applied Machine Learning

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Requirements:

• 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.

Responsibilities:

• 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.