1.0 - 5.0 years

0 Lacs

karnataka

On-site

As a Technical Support Specialist, you will be responsible for diagnosing and troubleshooting technical issues across customer and lender journeys. Utilizing your skills in troubleshooting, customer service, and technical knowledge, you will read AWS logs, troubleshoot on postman, and effectively report errors to the tech team. Your role will also involve creating and maintaining comprehensive documentation, including troubleshooting guides, FAQs, and knowledge base articles. This documentation will assist customers in independently resolving common issues, ensuring clarity, conciseness, and alignment with the latest product releases. Providing exceptional customer support is key in this position. You will promptly respond to partner queries, guide customers through product features, functionalities, and best practices, aiming to enhance their usage and satisfaction. Collaboration with cross-functional teams such as software development, product management, and customer experience teams is essential. By escalating and prioritizing technical issues, driving product improvements, and advocating for customer needs and feedback, you will contribute to the overall success of the product. To excel in this role, you should have a bachelor's degree in BTech/B.E. along with at least 1 year of experience with SQL, AWS logging, and Postman. Additionally, familiarity with HTML5, CSS3, JavaScript, and AWS tools like App Runner and Lambda functions will be beneficial. Your willingness to adapt to a startup environment, understanding of general web functions and standards, and proficiency in tools such as Github, JIRA, and Database viewers (DBeaver, PgAdmin) are valuable assets that will support your success in this position.,

Posted 1 day ago

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Engineer- Machine Learning Qualcomm

3.0 - 7.0 years

0 Lacs

chennai, tamil nadu

On-site

Qualcomm India Private Limited is a leading technology innovator that creates next-generation experiences and drives digital transformation to build a smarter, connected future. As a Qualcomm Software Engineer, you will work on designing, developing, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs to deliver cutting-edge products that exceed customer expectations. Collaboration with systems, hardware, architecture, test engineers, and other teams is essential to design system-level software solutions and gather information on performance requirements and interfaces. As an MLOps Engineer at Qualcomm, you will play a crucial role in developing and maintaining the ML platform on premises and AWS Cloud. Your responsibilities include architecting, deploying, and optimizing the ML & Data platform supporting Machine Learning Models training using NVIDIA DGX clusters and Kubernetes. Expertise in AWS services like EKS, EC2, VPC, IAM, S3, and EFS will be vital for ensuring the smooth operation and scalability of the ML infrastructure. Working closely with cross-functional teams, you will design and implement reliable infrastructure solutions for NVIDIA clusters, collaborate with data scientists and software engineers to integrate ML and Data workflows, optimize platform performance, monitor system performance, and implement CI/CD pipelines for automated model training and deployment. Your role also involves managing AWS services, implementing logging and monitoring solutions, and staying updated with the latest advancements in MLOps and GPU acceleration technologies to enhance the ML platform. Qualcomm is looking for candidates with a Bachelor's or Master's degree in Computer Science, Engineering, or related field, proven experience as an MLOps Engineer with a focus on large-scale ML infrastructure, strong expertise in NVIDIA DGX clusters, proficiency in Kubernetes and associated technologies, programming skills in Python and Go, understanding of distributed computing and GPU acceleration, familiarity with containerization technologies, CI/CD pipelines, AWS services, and problem-solving skills. Excellent communication and collaboration abilities are essential to work effectively in a cross-functional team. Desired qualifications include experience with model training and deployment, knowledge of ML model optimization techniques, familiarity with ML-specific data storage systems, understanding of security and compliance in ML infrastructure. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you would like more information about this role, please contact Qualcomm Careers.,

Posted 4 days ago

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