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- Tasks: Develop and deploy cutting-edge AI models for diverse applications.
- Company: Tether is revolutionising digital finance with innovative blockchain solutions.
- Benefits: Enjoy 100% remote work, a diverse team, and opportunities for impactful projects.
- Why this job: Be part of a fintech innovation hub and shape the future of AI technology.
- Qualifications: Strong programming skills in Python and C/C++, with experience in AI deployment platforms.
- Other info: Ideal for those passionate about AI and eager to learn new technologies.
The predicted salary is between 43200 - 72000 £ per year.
Senior AI Inference Engineer (100% Remote – United Kingdom)
Join Tether and Shape the Future of Digital Finance
At Tether, we\’re pioneering a global financial revolution with innovative solutions that enable seamless, secure, and instant digital transactions using blockchain technology. Our products include the trusted stablecoin USDT, energy solutions for Bitcoin mining, AI and peer-to-peer technology advancements, digital learning initiatives, and more.
Our team is remote, diverse, and driven by a passion for fintech innovation. If you excel in English communication and aspire to work on cutting-edge platforms, Tether offers a unique opportunity to make a significant impact.
About the role
We aim to make advanced AI technologies accessible, building the next generation of AI models for both large-scale and edge device applications. Join us to develop AI solutions that surpass current industry standards, fostering broad accessibility and technological advancement.
Responsibilities
- Deploy machine learning models to edge devices using frameworks such as Llama.cpp, ONNX, TVM, MLC LLM, and IREE (MLIR).
- Collaborate with researchers to code, train, and transition models from research to production.
- Integrate AI features into existing products, leveraging the latest machine learning advancements.
Qualifications
- Strong programming skills in Python and C/C++.
- Experience with deployment platforms like Llama.cpp, ONNX, TVM, MLC LLM, and IREE (MLIR).
- Knowledge in NLP, transformers, fine-tuning, computer vision, TensorFlow, PyTorch, JAX, and CUDA.
- Experience with LLMs, fine-tuning, RAG, transformers is preferred.
- Ability to quickly learn new technologies.
- Degree in Computer Science, AI, Machine Learning, or related field, with a proven track record in AI R&D.
Join us in building innovative AI models that lead the industry and expand technological accessibility.
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Senior AI Inference Engineer (100% Remote - United Kingdom) | London, UK employer: Tether Operations Limited
Contact Detail:
Tether Operations Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Inference Engineer (100% Remote - United Kingdom) | London, UK
✨Tip Number 1
Familiarise yourself with the specific frameworks mentioned in the job description, such as Llama.cpp and ONNX. Having hands-on experience or projects that showcase your skills with these technologies can set you apart during discussions.
✨Tip Number 2
Engage with the fintech community online, especially in forums or groups focused on AI and machine learning. Networking with professionals in the field can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects involving AI model deployment and integration. Be ready to explain your thought process and the challenges you faced, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Stay updated on the latest advancements in AI and machine learning, particularly in areas like NLP and computer vision. Being knowledgeable about current trends will help you engage in meaningful conversations during interviews.
We think you need these skills to ace Senior AI Inference Engineer (100% Remote - United Kingdom) | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, machine learning, and programming languages like Python and C/C++. Emphasise any projects or roles that involved deploying models to edge devices or using frameworks mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for fintech innovation and how your skills align with Tether's mission. Mention specific technologies you have worked with, such as Llama.cpp or ONNX, and how you can contribute to their goals.
Showcase Relevant Projects: If you have worked on projects involving NLP, transformers, or AI model deployment, include these in your application. Provide links to your GitHub or portfolio to demonstrate your hands-on experience and technical skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a role in a cutting-edge field like AI.
How to prepare for a job interview at Tether Operations Limited
✨Showcase Your Technical Skills
Be prepared to discuss your programming expertise in Python and C/C++. Highlight any relevant projects or experiences where you've deployed machine learning models, especially using frameworks like Llama.cpp or ONNX.
✨Demonstrate Your Problem-Solving Abilities
Tether values innovation, so be ready to share examples of how you've tackled complex problems in AI and machine learning. Discuss specific challenges you faced and the solutions you implemented.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in AI technologies, particularly in NLP, transformers, and computer vision. Being knowledgeable about current trends will show your passion for the field and your commitment to continuous learning.
✨Prepare Questions for the Interviewers
Engage with your interviewers by preparing insightful questions about Tether's projects and future directions in AI. This demonstrates your interest in the company and helps you assess if it's the right fit for you.
