Senior Machine Learning Engineer

Key Skills: Machine Learning, System Design, Python, Optimization, Recommendation Systems, Kubernetes, Docker

Roles and Responsibilities:

• Design and implement machine learning algorithms for large-scale applications.
• Lead technical projects and provide architectural guidance.
• Collaborate with cross-functional teams to define and shape technical roadmaps.
• Utilize Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products.
• Conduct in-depth analysis to influence strategic direction and communicate findings effectively.
• Stay updated with the latest advancements in machine learning and AI technologies.

Skills Required:

• Strong expertise in Machine Learning and Optimization techniques
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, etc.)
• Experience with designing and implementing recommendation systems
• Solid understanding of large-scale system design and architecture
• Familiarity with containerization tools like Kubernetes and Docker
• Strong communication and leadership skills to influence stakeholders

Education: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field