Job Description

OVERVIEW OF THE COMPANY

JOB DESCRIPTION

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Develop and fine-tune Large Language Models (LLMs) to meet specific product requirements.
• Design and implement scalable machine learning pipelines for training and deploying LLMs.
• Optimize LLMs for performance, efficiency, and accuracy in various applications.
• Collaborate with data scientists, product managers, and software engineers to integrate LLMs into products.
• Conduct thorough testing and validation of models to ensure robustness and reliability.
• Continuously research and stay up-to-date with advancements in LLMs and related technologies.
• Develop and document methodologies, findings, and best practices for LLM fine-tuning.
• Mentor junior team members and contribute to a culture of continuous learning.
• Participate in code reviews and ensure high coding standards within the team.
• Engage in the full machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring.

WHAT YOU WILL NEED

• MSc or PhD in Computer Science, Data Science, Machine Learning, or a related field.
• Industry experience in machine learning, with a focus on developing and fine-tuning language models.
• Strong expertise in developing and fine-tuning LLMs, such as GPT, BERT, or similar models.
• Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with cloud services (AWS, GCP, Azure, Databricks) and ML infrastructure.
• Strong understanding of software engineering principles and fundamentals, including data structures and algorithms.
• Excellent problem-solving skills and ability to work in a collaborative team environment.
• Strong communication skills, with the ability to distill complex technical concepts for various audiences.
• Experience with embeddings, vectorization, and database optimization is a plus.
• Familiarity with ethical considerations in AI and a commitment to developing responsible AI solutions.

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