Company:
Fox Corporation
Location: Los Angeles
Closing Date: 22/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / 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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Fox Corporation
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