Qualifications

• 5-7 years of experience in AI/ML with a focus on predictive maintenance and real-time analytics
• Proficient in designing and implementing data pipelines
• Strong knowledge of machine learning algorithms and techniques, especially deep learning and reinforcement learning
• Experienced with programming languages and frameworks such as Python, TensorFlow, and PyTorch
• Familiarity with MLOps practices for model deployment and monitoring
• Ability to translate complex business problems into AI-driven solutions

Responsibilities

• Architect scalable AI/ML solutions specifically for predictive maintenance and real-time analytics
• Develop AI strategies that align with overall business objectives, particularly within industrial IoT and edge computing
• Design and create robust data pipelines and frameworks for model deployment
• Build and optimize machine learning models, focusing on performance and accuracy
• Implement MLOps strategies for effective integration, deployment, and monitoring of ML models
• Oversee the successful deployment of ML models in production, ensuring high scalability and performance
• Analyze business challenges to create targeted AI solutions that drive results

Benefits

• Opportunity to work on cutting-edge AI/ML technology
• Collaboration with cross-functional teams on innovative projects
• Access to ongoing professional development and training
• Flexible work arrangements to support work-life balance
• Engagement in a fast-paced, transformative industry environment