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For Companies At a Glance
- Tasks: Join the founding team to create and integrate advanced AI systems.
- Company: Be part of a fast-growing AI start-up with equity ownership.
- Benefits: Enjoy hybrid work options and the chance to shape the future of AI.
- Why this job: This role offers a unique opportunity to lead in AI orchestration and innovation.
- Qualifications: Advanced degree in relevant fields and 5+ years of machine learning experience required.
- Other info: Proficiency in Python and modern ML frameworks is essential.
The predicted salary is between 43200 - 72000 £ per year.
Founding Machine Learning Engineer – AI Start-Up – Hybrid – Equity Ownership
Founding Machine Learning Engineer
Hybrid Working
Exciting Start-up AI Company
The Opportunity:
You will be joining the founding team with equity ownership in a fast growing AI start-up and will be instrumental in defining the future of AI orchestration. You will lead the creation and integration of advanced systems that seamlessly manage interactions between AI models, cutting-edge tools, and human operators.
Required Qualifications:
Educational Background: Advanced degree (Master’s/PhD) in Computer Science, Machine Learning, Data Science, or a related field.
Specialized Expertise: Expertise in LLM frameworks, agent building, and prompt engineering.
Professional Experience: Over 5 years of experience in machine learning or applied research.
Technical Knowledge: Strong understanding of data structures, algorithms, and software engineering principles.
Proven Capability: Demonstrated success in deploying production-ready ML systems.
Programming Skills: Proficiency in Python and modern ML frameworks.
Systems Experience: Hands-on experience with distributed systems and microservices architecture.
Desirable Skills:
Cloud: AWS/GCP/Azure
Deep Learning Frameworks: Experience with PyTorch and TensorFlow.
Graph Databases: Knowledge of graph databases and knowledge graphs
Job Info
Job Title:
Founding Machine Learning Engineer – AI Start-Up – Hybrid – Equity Ownership
Company:
CV-Library
Location:
Posted:
Closes:
Jan 5th 2025
Sector:
IT
Contract:
Permanent
Hours:
Full Time
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Founding Machine Learning Engineer - AI Start-Up - Hybrid - Equity Ownership employer: CV Library
Contact Detail:
CV Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Machine Learning Engineer - AI Start-Up - Hybrid - Equity Ownership
✨Tip Number 1
Make sure to showcase your experience with LLM frameworks and agent building in your conversations. Highlight specific projects where you've successfully integrated these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Network with professionals in the AI start-up community. Attend meetups or webinars focused on machine learning and AI orchestration to connect with potential colleagues and learn more about the latest trends in the field.
✨Tip Number 3
Prepare to discuss your experience with deploying production-ready ML systems. Be ready to share challenges you faced and how you overcame them, as this will show your problem-solving skills and practical knowledge.
✨Tip Number 4
Familiarize yourself with the company's vision and goals. Understanding their approach to AI orchestration will allow you to align your skills and experiences with their needs during discussions, making you a more attractive candidate.
We think you need these skills to ace Founding Machine Learning Engineer - AI Start-Up - Hybrid - Equity Ownership
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced degree and relevant experience in machine learning, especially focusing on your expertise with LLM frameworks and agent building. Use specific examples to demonstrate your success in deploying production-ready ML systems.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for joining a founding team in an AI start-up. Discuss how your skills align with the company's vision and your understanding of AI orchestration. Mention your programming proficiency in Python and experience with modern ML frameworks.
Showcase Technical Skills: Clearly outline your technical knowledge in data structures, algorithms, and software engineering principles. If you have experience with cloud platforms like AWS, GCP, or Azure, or deep learning frameworks such as PyTorch and TensorFlow, make sure to include that information.
Highlight Relevant Projects: Include any relevant projects or research that demonstrate your hands-on experience with distributed systems and microservices architecture. This will help illustrate your capability to contribute effectively to the start-up's goals.
How to prepare for a job interview at CV Library
✨Showcase Your Expertise
Make sure to highlight your specialized expertise in LLM frameworks, agent building, and prompt engineering. Prepare specific examples from your past work that demonstrate your proficiency in these areas.
✨Demonstrate Technical Knowledge
Be ready to discuss your understanding of data structures, algorithms, and software engineering principles. You might be asked technical questions, so brush up on these topics and be prepared to explain your thought process.
✨Discuss Your Experience with ML Systems
Share your experiences deploying production-ready ML systems. Talk about the challenges you faced and how you overcame them, as well as any successful projects you led or contributed to.
✨Prepare for Cloud and Framework Questions
Since knowledge of cloud platforms like AWS, GCP, or Azure is desirable, prepare to discuss your experience with these technologies. Additionally, be ready to talk about your familiarity with deep learning frameworks such as PyTorch and TensorFlow.
