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ResMed
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Machine Learning Architect

Machine Learning Architect

ResMed

8 - 12 years

0 Lacs

karnataka

Posted:15 hours ago| Platform: Shine logo

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Skills Required

data science ml artificial intelligence model development deployment reinforcement learning coding practices data processing performance evaluation spark hive sql aws airflow optimization time series analysis linear algebra classification neural networks deep learning clustering unsupervised learning machine learning engineering ai ai operations ml architecture state of the art technology selfserve aiml platform data scientists data engineers aiml architectures model inference automated retraining data analytics systems feature engineering online deployment of models large distributed datasets nosql databases sagemaker kubeflow probability statistics discrete math regression methods treebased models time series forecasting optimization methods

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will be joining the Data Science and AI/ML team that collaborates across the organization to develop and deliver AI and ML powered software solutions aimed at improving patient outcomes, satisfying partners and customers, and enhancing business operations in an AI First manner. Your role as a Sr. Mgr. for Machine Learning Engineering will involve leading the development of ML architecture and operations, managing the AI operations team, ensuring production-grade AI/ML systems, and fostering best coding practices within the team. Key Responsibilities: - Drive a culture of learning within your team and challenge the status quo - Mentor and lead a team of engineers to help them grow - Collaborate with senior technology stakeholders to make key technology decisions - Grow and mentor talent to build a world-class development culture - Work closely with stakeholders to create impactful AI/ML features and products - Lead and develop a team of ML engineers to execute the AI/ML roadmap - Develop and optimize departmental processes to enhance team performance - Lead AI/ML model development, deployment, implementation, and monitoring - Collaborate with Data Scientists and Data Engineers, owning the end-to-end process - Build and maintain global AI/ML architectures and provide production support - Document model & ML system design, experiments, tests, validations, and live metrics - Stay updated on industry trends and leverage best practices for successful AI/ML solutions - Implement internal process improvements and build capabilities for production-level AI/ML systems - Support stakeholders with AI/ML-related technical issues and infrastructure needs - Handle escalated incidents and suggest solutions for future prevention - Participate in Code Review and process improvement Qualification Required: - 8+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering - M.S or PhD in Data Science/Machine Learning or related areas like Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics - Experience managing Data Science, Machine Learning, and/or AI teams - Strong leadership experience in AI/ML programs, development processes, and mentoring - Proficiency in developing data analytics systems, including model building, performance evaluation, and online deployment - Experience building scalable AI/ML systems for various advanced AI/ML problems - Knowledge of handling large and distributed datasets on various platforms - Familiarity with AWS or other cloud-based tools for data processing, model development, deployment, and monitoring - Strong mathematical foundation for Data Science, including probability, statistics, optimization, and linear algebra - Expertise in machine learning techniques such as regression, classification, clustering, time series forecasting, and optimization methods Note: Joining this team means being part of a culture that focuses on excellence, diversity, and inclusivity, encouraging individual expression and innovative ideas. If you are ready to contribute to making the world a healthier place and thrive in a challenging and supportive environment, apply now!,

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Machine Learning Architect