Machine Learning Specialist

What role you will play in team: You will be responsible for building and deploying machine learning models for fraud detection and risk management.

What you will do: You will work with large datasets to identify patterns and build predictive models.

Key responsibility:

• Develop and deploy machine learning models for fraud detection and risk management.
• Work with large datasets to identify patterns and build predictive models.
• Evaluate model performance and make necessary adjustments.
• Collaborate with engineers and product managers to integrate models into production systems.
• Stay up-to-date with the latest advancements in machine learning.

Required Qualification and Skills:

• Master's degree or PhD in a relevant field (e.g., Computer Science, Statistics, Mathematics).
• 5+ years of experience in machine learning, with a focus on fraud detection or risk management.
• Proficiency in Python or R and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Strong understanding of statistical modeling and machine learning algorithms.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and growth.
• Work on challenging and impactful projects.
• Health insurance and other employee benefits.
• A collaborative and innovative work environment.

A Day in the Life: A typical day involves working on model development, evaluation, and deployment, collaborating with other team members.