ML/AI Engineer

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Requirements:

• 3+ years of experience in AI/ML development and deployment.
• Strong Python skills and expertise in frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in NLP, predictive analytics, and statistical modeling.
• Experience with data processing tools (Pandas, NumPy) and database systems (SQL, NoSQL).
• Deep understanding of supervised and unsupervised learning methods.

Responsibilities:

• Develop AI tools for content generation and prompt optimization.
• Build predictive models for marketing targeting and performance.
• Automate processes to improve efficiency for support and supply teams.
• Design payment risk management models using AI.
• Share AI insights with stakeholders and drive cross-team knowledge-sharing sessions.