Ford Off Campus Recruitment

Qualifications

Required Qualifications & Skills:-

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Solid experience in developing and deploying Data Products using the Google Cloud Platform or similar cloud infrastructure.
• Proficiency in programming languages commonly used in GCP cloud data products, such as Big Query, Python, Pub-Sub, Terraform, and Tekton.
• Knowledge of data preprocessing techniques, feature extraction, and data augmentation for language-related tasks.
• Familiarity with Google Cloud Machine Learning services, such as AI Platform, Cloud TPU, and AutoML, is a plus.
• Strong problem-solving skills and the ability to quickly prototype and iterate on ideas.
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and present complex ideas clearly.
• Experience working in Agile or Scrum methodologies, with the ability to prioritize and manage multiple projects and initiatives simultaneously.
• Knowledge in Auto domain is plus.
• Familiarity in React JS and other front end development tools is highly desirable.

Job Description & Responsibilities:-

• Design and develop data products using the Google Platform, leveraging its powerful infrastructure and services.
• Collaborate with cross-functional teams, including data scientists, researchers, and software engineers, to define and refine the requirements for Products.
• Conduct thorough research and experimentation to enhance the performance, efficiency, and accuracy of Data products.
• Ensure the scalability, reliability, and maintainability of language models in production environments.
• Collaborate with the DevOps team to deploy and monitor language models, ensuring high availability and efficient resource utilization.
• Stay up to date with the latest advancements and trends in the field of Data engineering, incorporating new techniques into the development process.
• Contribute to the documentation, codebase, and knowledge sharing within the team and the organization.