Key Responsibilities

• Design, develop, and deploy machine learning models for blockchain-related applications.
• Work with large datasets to perform data preprocessing, cleaning, and feature engineering.
• Build prediction, classification, anomaly detection, and recommendation systems.
• Optimize models for accuracy, performance, and scalability.
• Collaborate with data engineers and blockchain developers for end-to-end ML pipeline integration.
• Implement model monitoring and retraining strategies for production environments.
• Research and apply latest ML/AI algorithms and techniques to improve business outcomes.
• Document solutions, workflows, and provide technical support to the team.

Required Skills & Qualifications

• 3–5 years of professional experience as an ML Engineer/Developer.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of machine learning algorithms, deep learning, and NLP.
• Experience in data preprocessing, model training, and evaluation.
• Hands-on experience with Pandas, NumPy, and data visualization libraries.
• Familiarity with SQL/NoSQL databases and data pipelines.
• Good knowledge of API development and integration for ML services.
• Strong problem-solving and analytical skills.

Good to Have (Preferred)

• Experience with blockchain or Web3 data analytics (on-chain data, anomaly detection, fraud detection).
• Familiarity with cloud ML services (AWS SageMaker, GCP AI, Azure ML).
• Knowledge of MLOps practices (Docker, Kubernetes, CI/CD for ML).
• Exposure to big data platforms (Spark, Hadoop).
• Relevant certifications in ML/AI.

Job Type: Full-time
Pay: AED15,000.00 - AED20,000.00 per month

Experience:

• TensorFlow, PyTorch, Scikit- Learn: 4 years (Required)
• Spark, Hadoop, Panda, Numpy: 4 years (Required)
• AWS SageMaker, GCP AI, Azure ML: 4 years (Required)
• Docker, Kubernetes, CI/CD for ML: 4 years (Required)

License/Certification:

• Artificial Intelligence & Machine Learning (Required)

• Design, develop, and deploy machine learning models for blockchain-related applications.
• Work with large datasets to perform data preprocessing, cleaning, and feature engineering.
• Build prediction, classification, anomaly detection, and recommendation systems.
• Optimize models for accuracy, performance, and scalability.
• Collaborate with data engineers and blockchain developers for end-to-end ML pipeline integration.
• Implement model monitoring and retraining strategies for production environments.
• Research and apply latest ML/AI algorithms and techniques to improve business outcomes.
• Document solutions, workflows, and provide technical support to the team