Sr. Principal Machine Learning Engineer

Sr. Principal Machine Learning Engineer

Requirements

• Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 10+ years of professional experience in machine learning engineering.
• 6+ years experience in designing and implementing large-scale machine learning systems in production environments.
• 6+ years experience in Python, with expertise in machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and others.
• 6+ years experience with cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services.

Responsibilities

• Lead the research, design, development, and deployment of advanced machine learning models and algorithms.
• Drive the architectural design and implementation of scalable and robust ML systems.
• Conduct in-depth analysis of large datasets to identify patterns, trends, and actionable insights.
• Evaluate and select appropriate machine learning techniques and tools for specific business problems.
• Develop and maintain production-ready machine learning pipelines, ensuring high performance and reliability.
• Mentor and guide junior machine learning engineers, fostering a culture of technical excellence.
• Collaborate with product managers, data scientists, and software engineers to define project requirements and deliver solutions.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and apply them to relevant projects.
• Contribute to the development of best practices and standards for machine learning development.
• Present technical findings and recommendations to stakeholders at all levels.
• Design and implement model monitoring and retraining strategies.
• Lead the investigation and resolution of complex technical issues related to machine learning systems.

Preferred Qualifications

• Deep understanding of machine learning algorithms, including deep learning, reinforcement learning, and natural language processing.
• Expertise in data processing and manipulation using tools like Spark or similar.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Experience with MLOps and CI/CD for machine learning.
• Demonstrated ability to lead and mentor junior engineers.