Senior ML Engineer, Applied Machine Learning

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Requirements:

• Proven experience in developing, optimizing, and deploying ML systems.
• Strong background in building and managing training pipelines for ML models.
• Hands-on experience with fine-tuning large language models.
• Skilled in ML frameworks like TensorFlow or PyTorch.
• Proficient in Python for writing efficient, clean, maintainable code.
• Ability to communicate complex ML concepts effectively.
• Bachelor's or Master's degree in a relevant field.

Responsibilities:

• Architect, build, and optimize ML systems to deliver real-world results.
• Design and implement efficient, scalable training pipelines for ML models.
• Continuously fine-tune large language models (LLMs) to enhance performance.
• Implement feedback loops for iterative model improvement.
• Collaborate with product and business teams to translate requirements into ML solutions.
• Stay current with ML advancements to keep infrastructure cutting-edge.
• Guide and mentor junior team members to foster technical growth.
• Communicate ML methodologies and insights to non-technical stakeholders.