Crypto Data Scientist / Machine Learning - LLM Engineer
Description For Crypto Data Scientist / Machine Learning - LLM Engineer
Token Metrics is at the forefront of crypto investment technology, helping investors across 50+ countries build profitable portfolios through AI-powered crypto indices, rankings, and price predictions. We're seeking a talented Machine Learning Engineer to join our team in optimizing our ML systems.
The role combines the exciting worlds of cryptocurrency and artificial intelligence, where you'll be instrumental in enhancing our predictive models and automated systems. As our ML Engineer, you'll work on sophisticated problems involving multi-layered data sets, implement and optimize ML algorithms, and ensure our AI software delivers accurate predictions for crypto investors.
The ideal candidate brings a strong foundation in data science, with at least two years of ML engineering experience and expertise in Python, Java, and R. Your work will directly impact our platform's ability to provide valuable insights to crypto fund managers and retail investors alike. What sets this role apart is the opportunity to work with cutting-edge LLM technology and apply it to the dynamic crypto market.
Working remotely from Islamabad, you'll be part of a diverse, global team that's pushing the boundaries of AI in crypto investment. This role offers the perfect blend of technical challenge and real-world impact, as your work will help shape the future of crypto investment strategies through advanced machine learning applications.
Responsibilities For Crypto Data Scientist / Machine Learning - LLM 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 - LLM 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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