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• Lead the development of innovative data-driven solutions for clients. • Build, deploy, and optimise machine learning models for real-world problems. • Collaborate with Data Engineers for cloud-based data environments. • Mentor junior team members and align technical solutions with business objectives.
• Proficient in Python, SQL, and additional language (e.g., Java, R, or C++). • Strong experience in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. • Proven ability to design and implement AI/ML pipelines, including LLMs. • Demonstrated proficiency with data mining, statistical analysis, and advanced pattern recognition. • Hands-on experience with Azure and Google Cloud services, AWS knowledge is a bonus. • Certification in data science or machine learning (GCP Machine Learning Professional, Stanford Data Science, Andrew Ng’s Machine Learning). • Experience working with financial institutions on projects involving fraud detection and anomaly detection. • Familiarity with online gaming and mining industry challenges. • Ambitious, self-motivated, able to lead analysis and solutions. • Strong communication skills for complex technical solutions.
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