As a Lead MLE, your key responsibilities include building automation and leading-edge architecture around model development, deployment, and serving to optimize time to market and quality of AI/ML applications. Specifically, you will give architectural guidance to ensure our    global    AI/ML systems are production-grade, scalable and    use   the latest state of the art technology and methodology.    

 You will help define and ensure    best coding practices within the team of excellent and engaged engineers. You will be given creative freedom and opportunities to work on advanced AI/ML problems,    such as   reinforcement learning and a self-serve AI/ML platform. You will do hands-on code development, mentor junior team members, and interact with business stakeholders.      

    Responsibilities    

•    Build and/or lead the creation and maintenance of    optimal    global    AI/ML architectures.    

•    Stay informed of industry trends and enable successful AI/ML solutions by    leveraging   best practices.    
•    Partnering effectively with stakeholders and business users.    
•    Participate    in    and    set up     Proof of Concepts (POCs) to    demonstrate   proposed solutions.    
•    Enable team members in the MLE space through training, culture, and team building.    
•    Identify   , design, and implement internal process improvements: Automating manual processes, re-designing infrastructure for greater scalability, etc.    

•    Build infrastructure    needed   for AI/ML systems,    such as    model inference, automated (re-)training etc.    
•    Work with stakeholders including the Executive, Product, Data and Design teams to    help   with AI/ML-related technical issues and support their AI/ML infrastructure needs.    
•    Actively handle escalated incidents to resolution and suggest solutions to limit future exposure.    
•    Participate in Code Review and process improvement.    

  Qualifications and Experience    

•    Bachelor/Master/Engineering degree in IT/Computer Science/software engineering or relevant field   .      
•    8   + years of total experience in a complex, technical environment.    
•    Experience building scalable AI/ML systems for continuous training automation, computer vision, natural language processing, or similarly advanced AI/ML problems.    
•    Experience    one or more of the following    AWS (Amazon Web Services)   cloud services:    Sage   M   aker,    ECR/EC2   and Docker   , AWS    Batch   processing, Lambda, Glue, EventBridge, etc.    
•    Experience with AI/ML operational tools such as SageMaker, Airflow,    MLFlow   , H2O, etc.    

•    Experience with   developing production-grade   Python   code    
•    Experience with big data tools such as    EMR (Elastic MapReduce)   , Spark or similar.    
•    Experience with relational SQL and NoSQL databases.    
•    Experience leading, supporting, and working with cross-functional teams in a dynamic environment.    

Key Skills

Supply chain; Automation; Data management; Coding; Process improvement; Maintenance Manager; Operations; Team building; SQL

About Company

At ResMed (NYSE: RMD,  ASX: RMD) we pioneer innovative solutions that treat and keep people out of the hospital,  empowering them to live healthier,  higher- quality lives.  Our cloud- connected medical devices transform care for people with sleep apnea,  COPD and other chronic diseases.  Our comprehensive out- of- hospital software platforms support the professionals and caregivers who help people stay healthy in the home or care setting of their choice.  By enabling better care,  we improve quality of life,  reduce the impact of chronic disease and lower costs for consumers and healthcare systems in more than 120 countries.