Senior Machine Learning Engineer - Fraud Detection

What role will you play in the team: As a Senior Machine Learning Engineer specializing in Fraud Detection, you will lead the development and deployment of advanced machine learning models to identify and prevent fraudulent activities. You'll work closely with fraud analysts and engineers to build robust systems that protect our customers and business.

What you will do: You will be responsible for designing, developing, and deploying machine learning models to detect and prevent various types of fraud. Your work will involve feature engineering, model training, and performance optimization, as well as collaborating with other teams to integrate models into production systems.

Key responsibility:

• Design and develop machine learning models for fraud detection, using techniques such as anomaly detection, classification, and regression.
• Conduct feature engineering to identify relevant predictors of fraudulent behavior.
• Train and evaluate models using large datasets, optimizing for performance and accuracy.
• Collaborate with fraud analysts to understand business requirements and develop data-driven solutions.
• Deploy and monitor models in production, ensuring real-time performance and scalability.
• Develop and maintain data pipelines for data ingestion, transformation, and storage.
• Conduct research and stay up-to-date with the latest advancements in fraud detection and machine learning.
• Work with cross-functional teams to integrate models into existing systems and processes.
• Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
• Mentor junior engineers and provide technical guidance.

Required Qualification and Skills:

• Master's degree in Computer Science, Statistics, or a related field.
• 2-3 years of experience in machine learning or data science, with a focus on fraud detection.
• Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL and experience with relational databases.
• Experience with Big Data technologies such as Hadoop or Spark.
• Solid understanding of statistical concepts and machine learning algorithms.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Strong problem-solving skills and attention to detail.

Benefits Included:

• Competitive salary and performance-based bonuses.
• Comprehensive health insurance coverage for you and your family.
• Generous paid time off and holidays to ensure work-life balance.
• Opportunities for professional development and training to enhance your skills.
• Employee assistance program to support your well-being and mental health.
• Stock options and equity participation.
• Company-sponsored events and activities to foster team bonding.
• Retirement savings plan with company match to help you plan for the future.
• Transportation allowance to cover your commuting expenses.

A Day in the Life: You will be deeply involved in algorithm design, model performance analysis, and collaboration with various teams to enhance fraud detection systems. Also, you will research cutting-edge technologies for continuous improvement.