Senior Machine Learning Engineer

About the Role

Our client is seeking a highly skilled Senior Machine Learning Engineer to join their innovative research and development team, working remotely. You will be responsible for designing, building, and deploying sophisticated machine learning models and systems that drive intelligent solutions. This role requires a strong background in algorithms, statistical modeling, and practical experience with ML frameworks and libraries. You will collaborate with data scientists and software engineers to bring cutting-edge ML capabilities to life, contributing to products that leverage AI and data-driven insights. This is a fantastic opportunity to work on challenging problems in a truly remote setting.

Key Responsibilities

• Design, develop, train, and deploy machine learning models and algorithms for various applications.
• Implement and optimize ML pipelines for data preprocessing, feature engineering, model training, and evaluation.
• Collaborate with data scientists to translate research ideas into production-ready ML systems.
• Build and maintain scalable infrastructure for ML model deployment, monitoring, and retraining.
• Stay current with advancements in machine learning, AI, and relevant technologies.
• Write clean, efficient, and well-documented code, and participate in code reviews.

Requirements

• Master's or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering or a related role.
• Strong proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Experience with data processing and big data technologies (e.g., Spark, Hadoop).
• Solid understanding of MLOps principles and practices for deploying and managing ML models in production.
• Excellent problem-solving skills and the ability to thrive in a fully remote environment.

Benefits

• Competitive annual salary up to 88000 , based on qualifications and experience.
• Fully remote working arrangement, providing ultimate flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget for courses and conferences.
• A collaborative and intellectually stimulating work environment focused on AI innovation.