The Senior AI Engineer will take ownership of machine learning projects, including research and design of complex architectures. Responsibilities also involve working with edge hardware, NLP models, and generative models for image and video.
Develop and evaluate machine learning and robotics solutions by building simulated environments for testing and data generation. Collaborate with cross-functional teams to integrate models with hardware and translate project requirements into practical, production-ready solutions.
Design and maintain scalable automated testing suites for UI, API, and database layers while integrating them into CI/CD pipelines. Collaborate with DevOps teams to ensure test execution within containerized environments and maintain high standards for data integrity.
You will take end-to-end ownership of machine learning models, ensuring their reliable deployment and performance on physical hardware. Additionally, you will design and optimize real-time AI pipelines while collaborating with cross-functional teams and clients.
Partner with customers to translate complex business challenges into scalable, production-ready AI solutions. Design and architect end-to-end AI systems while collaborating with cross-functional teams to deliver measurable business impact.
