Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. By creating a seamless framework for DApps to interact across various networks, we’re solving one of blockchain’s biggest challenges: the barriers between fragmented ecosystems. Our Photon Messaging Protocol, universal data feeds, and customizable agent network bring high-performance, scalable infrastructure to developers in the DeFi space and beyond.
We are seeking a motivated and experienced Senior ML/AI Engineer to join our dynamic team of 10+. The ideal candidate will have a strong foundation in Python programming, multi year experience with machine learning frameworks, and a passion for artificial intelligence.
Key Responsibilities
Develop and Maintain AI Models: design, implement, and optimize machine learning models using PyTorch and TensorFlow.
Data Processing: Utilize ETL processes to gather, clean, and preprocess data using tools like Pandas and NumPy to ensure high-quality input for machine learning algorithms.
Reinforcement Learning: Engage in projects involving reinforcement learning (RL) techniques, contributing to the development of intelligent systems.
Testing and Validation: Conduct experiments to validate model performance and improve accuracy through iterative testing.
Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into applications.
Documentation: Maintain thorough documentation of code, processes, and project developments to ensure clarity and facilitate knowledge sharing.
Core Skills
Programming Languages: Proficient in Python 3.x, with a solid understanding of object-oriented programming principles.
Data Manipulation: Experience with ETL processes and libraries such as Pandas and NumPy for data analysis and manipulation.
Machine Learning Frameworks: Familiarity with PyTorch, TensorFlow, Gym, or similar frameworks for developing AI models.
Reinforcement Learning: Understanding of reinforcement learning concepts and their application in real-world scenarios.
Prompting Common AI Tools: Experience in using common AI tools effectively by crafting detailed prompts that lead to high-quality outputs. Familiarity with techniques such as sequential prompting, role-playing personas, and iterative refinement of prompts.
Experience with AI tools' APIs such as ChatGPT/claude api.
Natural Language Processing (NLP): Experience with NLP techniques, large language models (LLMs), and libraries such as Hugging Face Transformers.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
At least 5 years of commercial experience in ML/Deep Learning/Neural networks
Strong analytical skills with a problem-solving mindset.
Ability to work independently as well as collaboratively within a team environment.
Excellent communication skills to convey technical concepts effectively.
What we offer:
Exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry
Pay in USDT
Scrum/agile environment
Highly skilled engineering team
Attractive compensation plus token allocations
Remote work in a timezone that corresponds well with the UAE time
Paid vacation and public holidays.
