Crypto Data Scientist / Machine Learning Engineer
Description For Crypto Data Scientist / Machine Learning Engineer
Token Metrics is at the forefront of combining cryptocurrency investment with artificial intelligence, seeking a skilled Machine Learning Engineer to enhance their AI-powered platform. This role offers a unique opportunity to work with cutting-edge technology in the crypto investment space, helping investors across 50+ countries make better portfolio decisions.
The position requires a blend of technical expertise in machine learning and practical application in financial markets. You'll be responsible for designing and optimizing ML systems that power predictive models, working with complex data sets, and ensuring the accuracy of user recommendations. This role is perfect for someone who combines strong technical skills in Python, Java, and R with a deep understanding of ML frameworks and financial markets.
As a Machine Learning Engineer at Token Metrics, you'll be part of a team that's revolutionizing crypto investment strategies through AI. The role offers the flexibility of remote work from Nigeria while collaborating with a global team. Your work will directly impact thousands of investors and traders worldwide, from retail investors to crypto fund managers.
The ideal candidate should have at least two years of experience in machine learning engineering, with a strong educational background in computer science, data science, or mathematics. Experience with LLM fine-tuning and observability is particularly valuable. You'll need to demonstrate not just technical proficiency, but also excellent analytical, communication, and organizational skills.
This is an excellent opportunity for a mid-level engineer looking to make a significant impact in the intersection of AI and cryptocurrency. You'll be working with large-scale data sets, developing sophisticated algorithms, and contributing to a platform that's helping shape the future of crypto investment strategies.
Responsibilities For Crypto Data Scientist / Machine Learning Engineer
- 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 and optimizing existing machine learning libraries
- 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 For Crypto Data Scientist / Machine Learning Engineer
- 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
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