Machine Learning Engineer

What role you will play in team: You'll be a key contributor to our fraud detection team developing and deploying machine learning models.

What you will do: Design, develop and implement machine learning models to improve our fraud detection systems.

Key responsibility:

• Designing, developing and implementing machine learning algorithms.
• Evaluating and improving the performance of existing models.
• Working with large datasets.
• Collaborating with engineers to deploy models into production.
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  Staying up-to-date with the latest advancements in machine learning.
• Working on projects related to fraud detection and risk management.

Required Qualification and Skills:

• Master's degree in computer science, engineering, or a related field.
• Experience with machine learning libraries (e.g., TensorFlow, PyTorch).
• Proficiency in Python or R.
• Strong analytical and problem-solving skills.
• Experience with cloud computing (AWS, Azure, GCP).
• Experience in developing and deploying machine learning models is a plus.

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Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional growth.
• Working on challenging and impactful projects.
• Mentorship and guidance from experienced engineers.
• A culture of innovation and collaboration.

A Day in the Life:A day may consist of model building, evaluation, deployment and troubleshooting issues.