Associate Ml Platform Engineer

3 weeks ago

Bangalore Karnataka, India ResMed Full time

Associate Machine Learning EngineerLet s talk about the team and you ResMed is a global leader in sleep and respiratory care transforming lives with innovative products and technologies We empower people to take control of their health and live the best lives they can This internship offers the opportunity to contribute to our cutting-edge AI First mission using machine learning to improve sleep optimize equipment develop clinical models and streamline supply chains Lets talk about Responsibilities As an Associate Machine Learning at ResMed you ll gain hands-on experience working with our leading-edge ML Engineering team to build and deliver impactful AI ML software solutions You ll collaborate with ML engineers data scientists and data engineers to xef x82 xb7 Develop and enhance our global AI ML platform You ll contribute to building scalable and robust systems capable of handling large data volumes Build and showcase AI ML models You ll own the end-to-end process of creating MVP applications that demonstrate the value of our models Automate and improve ML workflows You ll develop production-grade features and automation for tasks like feature pipelines inference continuous training and model monitoring Solve complex AI challenges You ll participate in design sessions and brainstorm with the team to find innovative solutions using scalable architecture Support model productionization You ll partner with data scientists to ensure their models are successfully deployed and operationalized Utilize cutting-edge tools You ll work with Python AWS and Terraform and gain skills in code review and end-to-end testing Lets talk about Qualifications Experience xef x82 xb7 Bachelors degree in a relevant field Mathematics Statistics AI ML Data Science etc Basic Data Science knowledge Basic knowledge of data collection preparation and feature engineering pipelines Basic skills in designing and implementing experiments to test hypotheses and improve models Basic understanding of CI CD pipelines Basic knowledge of pre-trained ML models transformers LLMs etc Basic ability to design and implement algorithms using existing Python packages Basic understanding of designing implementing and maintaining models using cloud platforms AWS Azure etc Basic knowledge of tools for model development deployment and feature engineering Jupyter Lab AWS Sagemaker Feast Azure ML etc Experience with MLOps practices and tools Knowledge of distributed systems and containerization technologies Docker Kubernetes Experience with natural language processing or computer vision models Strong technical experience through projects research or previous internships Excellent critical thinking and problem-solving skills Great interpersonal relations team cooperation and communication skills Exceptional organizational and collaboration skills Exceptional communication skills and interest enthusiasm for the healthcare industry Joining us is more than saying yes to making the world a healthier place Its discovering a career thats challenging supportive and inspiring Where a culture driven by excellence helps you not only meet your goals but also create new ones We focus on creating a diverse and inclusive culture encouraging individual expression in the workplace and thrive on the innovative ideas this generates If this sounds like the workplace for you apply now We commit to respond to every applicant

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