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 for ML models.
• Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases.
• Skilled in ML frameworks such as TensorFlow and PyTorch.
• Proficient in Python with a focus on writing efficient, clean code for ML applications.
• Clear ability to communicate complex ML concepts to 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 delivering impactful machine learning solutions.

Responsibilities:

• Develop and deploy robust ML models for real-world applications.
• Design and implement scalable pipelines for model training and retraining.
• Continuously fine-tune large language models to improve performance.
• Implement feedback loops for iterative model improvement.
• Collaborate with product and business teams to align ML solutions with requirements.
• Stay current with ML research and apply insights to the infrastructure.
• Mentor junior team members to foster technical growth.
• Communicate ML methodologies and results to non-technical stakeholders.