Our Client is seeking a talented Senior Machine Learning Engineer (Remote or Relocation to Estonia) to lead AI model development and implement evaluation systems for large language models (LLMs). In this role, you will work on cutting-edge projects that push the boundaries of AI evaluation and benchmarking for incentivized networks.
About Our Client
Our client is an innovative platform operating at the intersection of artificial intelligence and blockchain technology. Their decentralized marketplace enables the development, evaluation, and monetization of AI models, providing democratized access to AI resources for developers, businesses, and crypto enthusiasts. Built on the Substrate framework and powered by a native token, this ecosystem is pioneering the integration of AI and blockchain.
Key Responsibilities
Data Generation: Develop ML pipelines to create high-quality datasets.
Data Collection Automation: Use tools like web scrapers to gather and enrich datasets.
Data Processing and Quality Assurance: Ensure data accuracy and relevance through refinement and verification.
Qualifications
Experience: 4+ years in machine learning engineering with strong Python skills.
Technical Skills: Proficient in cloud computing, Linux-based systems (e.g., Ubuntu), and key ML tools.
LLM Proficiency: Practical experience deploying LLMs in production environments, using tools like PyTorch, vLLM, and Hugging Face.
Problem-Solving Abilities: Self-motivated, independent, and skilled in addressing complex challenges.
Communication: Effective team communicator in a fully remote setting.
What They Offer
Competitive Salary: Compensation reflective of your expertise and experience.
Flexible Hours: Tailored work schedule to match your productivity style.
Remote Work: Option to work remotely or access co-working spaces as needed.
Growth Opportunities: Support for continuous learning and career development.
Impact and Autonomy: Significant influence over projects with the freedom to make key decisions.
United States
