ML Engineer

We are partnered with a leading financial services company looking to expand and enhance their AI functionality.

About the Role:
As an ML Engineer, you will be responsible for designing and implementing machine learning models that address key industry challenges. You will work on developing predictive models for credit risk assessment, fraud detection systems, and algorithmic trading strategies. Additionally, you will build scalable ML pipelines, enhance real-time decision-making models, and optimize data-driven processes to improve financial outcomes. Collaboration with data scientists, software engineers, and financial analysts will be key to deploying robust AI solutions.

Key Responsibilities:

• Develop and deploy machine learning models for credit scoring, fraud detection, and algorithmic trading.
• Build and maintain scalable data pipelines to process financial datasets, ensuring real-time analytics and model retraining.
• Enhance existing predictive models for market risk assessment and customer segmentation.
• Implement automated monitoring and retraining frameworks to ensure model accuracy and compliance with financial regulations.
• Collaborate with engineering teams to integrate ML models into production systems with a focus on security and scalability.
• Research and apply state-of-the-art ML techniques to improve financial forecasting and decision-making.

About you:

• Proven experience as a Machine Learning Engineer or similar role.
• Strong proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
• Experience with cloud platforms (AWS, GCP, or Azure) for ML deployment.
• Knowledge of financial modeling, risk assessment, or fraud detection is a plus.