AI Engineer

Position:

Location:

Employment Type:

About Zoniqx

Role Overview

Key Responsibilities

• AI Solution Development
• Design and implement AI-driven workflows for tokenization processes, including document automation, compliance reporting, and analytics.
• Develop predictive models to analyze market trends, asset performance, and liquidity patterns.
• Build AI-powered risk assessment tools for fraud detection and regulatory compliance.
• Integration with Blockchain Ecosystem
• Integration with Blockchain Ecosystem
• Collaborate with blockchain developers to integrate AI tools into platforms like TPaaS, DyCIST, and RWA Connect.
• Leverage machine learning (ML) for cross-chain interoperability and transaction optimization.
• Develop data pipelines to ingest, preprocess, and manage large datasets for AI models.
• Ensure data security and compliance with relevant regulations.
• Performance Optimization
• Optimize AI/ML models for scalability and real-time execution.
• Benchmark AI solutions to ensure high accuracy and efficiency.
• Collaboration
• Work closely with product managers, blockchain developers, and compliance teams to align AI functionalities with business objectives.
• Contribute to technical documentation and knowledge sharing.
  

Required Skills And Qualifications

Mandatory Technical Skills:

• Programming: Proficiency in Python (TensorFlow, PyTorch, Scikit-learn) and experience with AI/ML frameworks.
• AI/ML Expertise: Deep understanding of supervised, unsupervised, and reinforcement learning techniques.
• NLP: Hands-on experience with tools like GPT models, SpaCy, or Hugging Face.
• Data Engineering:
• Proficiency in data preprocessing, visualization (Pandas, NumPy, Matplotlib).
• Experience with distributed data storage and processing tools (e.g., Apache Spark, Hadoop).
• Blockchain Integration:
• Familiarity with blockchain concepts and smart contract platforms (e.g., Ethereum, Hedera, Hyperledger).
• Experience in cross-chain data interoperability and tokenization protocols.
• Tools and Platforms:
• Cloud Platforms: AWS, Google Cloud, Azure (AI/ML services).
• DevOps: Docker, Kubernetes for containerization and model deployment.
• Databases: SQL, NoSQL, and graph databases like Neo4j.
• Version Control: Git, GitHub/GitLab.
  

Mandatory Soft Skills

• Strong problem-solving and analytical skills.
• Excellent collaboration and communication abilities.
• Proven ability to work in a fast-paced, agile environment.
  

Experience

Preferred Experience

• 2+ years in AI/ML engineering or a similar role.
• Developing and deploying AI models for financial or blockchain applications.
• Domain Knowledge:
• Familiarity with tokenomics, asset management, or DeFi ecosystems.
• Knowledge of regulatory compliance frameworks and risk analysis
  

What We Offer

• Competitive salary and equity options.
• Opportunity to work on groundbreaking projects in AI and blockchain.
• Collaborative and innovative work environment.
• Professional growth and learning opportunities.
  

How To Apply

careers@zoniqx.com

AI Engineer - Tokenization