Drive the evolution of AI systems as a Senior Machine Learning Engineer. Own every aspect from data strategy to model deployment and shape proactive user management solutions. This critical role demands expertise in building and deploying machine learning systems within distributed environments. You will design scalable data pipelines, develop models for prediction, recommendation, and automate user access workflows. Collaborate across engineering teams to create robust architectures and high-performance applications. Key Responsibilities:

• Lead end-to-end development of ML/AI systems
• Design scalable data pipelines integrating with existing platforms
• Develop predictive models for user management
• Create real-time and batch inference systems
• Establish best practices in ML development and monitoring Requirements:
• 3+ years in Machine Learning or applied AI
• Proven ability to deploy ML systems in production
• Proficient in Python and ML frameworks
• Experience with AWS or similar cloud platforms
• Strong software engineering skills and API development Shape intelligent systems that revolutionize user access and management workflows through machine learning innovation.