Machine Learning Engineer

Role Overview:

The Machine Learning Engineer develops and implements machine learning models, optimizing algorithms, and conducting experiments to improve performance and accuracy. This role will leverage ML algorithms, data preprocessing and model training in developing and deploying AI solutions.

• Develop and deploy machine learning models
• Optimize algorithms for performance and scalability
• Conduct experiments and analyze results to improve models
• Collaborate with data scientists to prepare datasets
• Monitor and maintain the performance of deployed models
• Document model development processes and results
• Stay updated on the latest machine learning techniques and tools

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; a Master’s degree is a plus
• 3-5 years of experience in machine learning and model development
• Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Knowledge of data preprocessing and feature engineering
• Experience with model evaluation and optimization techniques
• Strong programming skills; Python coding skills is a must
• Experience with SQL for data manipulation and querying
• Experience with cloud providers like AWS
• Experience with Docker for containerization and orchestration tools like Kubernetes, especially in a cloud-native setting
• Proficiency with version control systems, especially Git, for managing code and collaborating with team members