Senior Machine Learning Engineer

What role you will play in team: Lead the development and implementation of cutting-edge machine learning solutions for financial market prediction.

What you will do: Design, develop, and deploy robust, scalable machine learning models to improve trading strategies and risk management.

Key responsibility:

• Develop and implement advanced machine learning algorithms for financial time series analysis.
• Design and build high-performance machine learning pipelines.
• Collaborate with quantitative analysts and traders to integrate models into trading systems.
• Monitor and evaluate model performance in real-time.
• Conduct research on new machine learning techniques and technologies.
• Mentor junior engineers.

Required Qualification and Skills:

• Master's degree in computer science, engineering, or a related field.
• 5+ years of experience in machine learning engineering.
• Proficiency in Python or Java.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of statistical modeling and time series analysis.
• Excellent communication and presentation skills.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for career advancement.
• Mentorship program
• Hybrid work model

A Day in the Life: A typical day involves collaborating with researchers and engineers to develop advanced machine learning models for various financial applications. You’ll be responsible for model deployment and maintenance.