Machine Learning Engineer

Key Responsibilities

• Research, design, and build machine learning models for a variety of business use cases.
• Work with data engineers to collect, clean, and prepare data for modeling.
• Develop prototypes and conduct experiments to validate model approaches.
• Optimize models for performance, accuracy, and scalability in production.
• Collaborate with software engineers to deploy models into live systems.
• Regularly communicate technical concepts and results to peers and stakeholders.
• Stay informed on the latest developments in machine learning and apply them as appropriate.

Qualifications

• Minimum 7 years of experience in machine learning, data science, or a related field.
• Proficient in Python and commonly used ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong foundation in machine learning theory, algorithms, and statistical methods.
• Experience working with structured and unstructured data at scale.
• Practical knowledge of model evaluation and deployment in production environments.