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For Companies At a Glance
- Tasks: Join us to develop cutting-edge AI technologies and fine-tune large language models.
- Company: Techfueld is a dynamic startup revolutionizing AI and machine learning in the automotive industry.
- Benefits: Work in a fast-paced environment with opportunities for innovation and real-world impact.
- Why this job: Be part of a first-of-its-kind product that shapes the future of technology across industries.
- Qualifications: Bachelor's degree in Computer Science or related field; proficiency in Python and LLMs required.
- Other info: Confidential conversations and tailored recruitment processes ensure your information is protected.
The predicted salary is between 36000 - 60000 £ per year.
About the Client
Our client is a dynamic startup who are revolutionizing the future of AI and machine learning applications. They are dedicated to pushing the boundaries of technology to create innovative solutions that drive real-world impact. Initially focused on the automotive market their technology will be able to be utilized in cross-industry as they grow.
Overview of the Role
Our client is searching for a hands-on AI/ML expert who is passionate about building new technologies to support building a new first-of-its-kind product on the market.
Responsibilities
Develop concepts for prompt engineering and multi-agent collaboration systems
Implement and fine-tune large language models (LLMs) for various applications
Implement and fine-tune TAG systems
Conduct testing and evaluation of AI models, ensuring robustness and performance
Stay up-to-date with the latest advancements in AI and machine learning research
Mandatory skills
- Proficiency in Python programming language
- Experience with large language models (LLMs), prompt engineering, and RAG pipelines
- Hands-on experience with LLM agent orchestration frameworks
Skills and Qualifications
- Bachelor\’s degree in Computer Science, Engineering, or related field
- Experience with model fine-tuning techniques
- Experience with cloud platforms
Who is Techfueld?
Techfueld is a specialist search firm focused solely within E-mobility & Vehicle Technology recruitment. We offer retained, contingent and project/team builds for automotive suppliers and car manufacturers across Europe, North America, and APAC regions.
All conversations are held confidentially, and your information is only forwarded to any of our clients, should you wish to proceed.
Machine Learning Engineer employer: Techfueld
Contact Detail:
Techfueld Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with large language models (LLMs) in your discussions. Highlight specific projects where you've implemented or fine-tuned LLMs, as this will demonstrate your practical knowledge and passion for the field.
✨Tip Number 2
Familiarize yourself with prompt engineering and multi-agent collaboration systems. Being able to discuss innovative concepts in these areas during your conversations can set you apart from other candidates.
✨Tip Number 3
Stay updated on the latest advancements in AI and machine learning research. Bringing up recent breakthroughs or trends in your discussions can show your enthusiasm and commitment to continuous learning in this fast-paced industry.
✨Tip Number 4
If you have experience with cloud platforms, be ready to discuss how you've utilized them in your previous projects. This is a key skill for the role, and demonstrating your proficiency can give you an edge in the hiring process.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Understand the Company: Research Techfueld and their client to understand their mission, values, and the specific role of a Machine Learning Engineer. This will help you tailor your application to align with their goals.
Highlight Relevant Skills: Make sure to emphasize your proficiency in Python, experience with large language models, and any hands-on experience with LLM agent orchestration frameworks. Use specific examples from your past work to demonstrate these skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Discuss how your background and experiences make you a perfect fit for developing innovative solutions in this dynamic startup environment.
Tailor Your CV: Customize your CV to highlight your educational background, relevant projects, and any experience with model fine-tuning techniques and cloud platforms. Ensure it reflects the qualifications mentioned in the job description.
How to prepare for a job interview at Techfueld
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and your experience with large language models. Bring examples of projects where you've implemented or fine-tuned LLMs, as this will demonstrate your hands-on expertise.
✨Understand the Company's Vision
Research Techfueld and their client’s mission in revolutionizing AI and machine learning applications. Being able to articulate how your skills align with their goals will show your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, especially related to prompt engineering and multi-agent collaboration systems. Practice explaining your thought process clearly and concisely.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest advancements in AI and machine learning research. Discussing recent developments can highlight your passion for the field and your commitment to continuous learning.
