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.
• Proficiency in ML frameworks such as TensorFlow, PyTorch, or similar tools.
• Proficient in Python for efficient, clean, and maintainable code.
• Ability to clearly communicate complex ML concepts to various audiences.
• Bachelor's or Master's degree in relevant fields like Machine Learning, Computer Science, or Data Engineering.

Responsibilities:

• Develop and deploy robust ML models for real-world applications.
• Design and implement scalable pipelines to train and retrain ML models.
• Continuously fine-tune large language models to meet enterprise needs.
• Create feedback loops to iteratively improve ML model effectiveness.
• Collaborate with product and business teams to translate requirements into ML solutions.
• Stay current with ML advancements and apply insights to ML infrastructure.
• Guide and mentor junior team members in technical skills.
• Communicate ML methodologies and insights to non-technical stakeholders.