At a Glance
- Tasks: Optimise machine learning systems and enhance AI predictive capabilities.
- Company: Join Token Metrics, a leader in AI-driven crypto investment solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Work with a diverse team and engage in exciting crypto projects globally.
- Why this job: Make a real impact in the crypto space with cutting-edge technology.
- Qualifications: Bachelor's degree in relevant field and 2+ years of ML engineering experience.
The predicted salary is between 60000 - 80000 £ per year.
About Token Metrics
Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. As a machine learning engineer, you should demonstrate solid data science knowledge and experience. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.
Responsibilities
- Consulting with the manager to determine and refine machine learning objectives.
- Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Ensuring that algorithms generate accurate user recommendations.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
- Documenting machine learning processes.
- Keeping abreast of developments in machine learning.
Requirements
- Bachelor's degree in computer science, data science, mathematics, or a related field.
- Master's degree in computational linguistics, data science, data analytics, or similar will be advantageous.
- At least two years' experience as a machine learning engineer.
- Advanced proficiency with Python, Java, and R code.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- LLM fine-tuning experience and working with LLM Observability.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
- Experience with crypto or web3 projects.
About the Company
Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions. Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
Crypto Data Scientist Machine Learning LLM Engineer Global employer: Unchain Data
Token Metrics is an exceptional employer for those passionate about machine learning and the crypto industry, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from continuous learning opportunities, competitive compensation, and the chance to work on cutting-edge AI technologies in a rapidly evolving market. Located in a vibrant tech hub, Token Metrics provides a unique environment where creativity and expertise thrive, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Crypto Data Scientist Machine Learning LLM Engineer Global
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto and machine learning space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to crypto. We love seeing real-world applications of your expertise, so make sure to highlight any predictive models or algorithms you've developed.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common ML interview questions and even doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to dive into the world of crypto and AI.
We think you need these skills to ace Crypto Data Scientist Machine Learning LLM Engineer Global
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and data science. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team at Token Metrics. Keep it concise but impactful!
Showcase Your Technical Skills:Since we're looking for someone with advanced proficiency in Python, Java, and R, make sure to mention specific projects where you've used these languages. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Unchain Data
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your experience with Python, Java, and R, as well as any specific ML frameworks you've worked with. They’ll want to see how your knowledge translates into real-world applications.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've solved using data science. Think of examples where you optimised existing ML processes or improved predictive models. This will demonstrate your analytical abilities and how you can contribute to their goals.
✨Stay Current with Trends
Token Metrics is all about innovation in the crypto space, so make sure you're up-to-date with the latest developments in machine learning and AI. Mention any recent advancements or tools that excite you, and how they could be applied to enhance their systems.
✨Communicate Clearly
Since collaboration is key, practice explaining your technical work in simple terms. Be prepared to discuss how you would consult with managers to refine objectives and document processes. Good communication can set you apart from other candidates.
