Position Details
About this role
This role involves leading the development of advanced ML/AI systems for fraud detection, utilizing large-scale data and state-of-the-art techniques, and guiding the technical strategy of the team.
Key Responsibilities
- Leading ML/AI system development
- Handling large-scale data
- Implementing MLOps
- Researching emerging AI techniques
- Mentoring team members
Technical Overview
The technical environment includes Python, Java, JavaScript, Google Cloud Platform, BigQuery, distributed systems, and MLOps practices, focusing on deploying scalable AI models.
Ideal Candidate
The ideal candidate is a senior data scientist with at least 6 years of experience in machine learning, deep learning, and AI systems, with strong programming skills in Python, Java, and JavaScript, and experience deploying ML models in large-scale distributed environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 6 years of experience in data science, No experience with large-scale distributed systems, Lack of proficiency in Python, Java, or JavaScript, No experience deploying ML systems
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