Search the 7 jobs at Vianai Systems

The Product Manager will drive development for Vianai Systems' Enterprise ML platform, focusing on client collaboration, product strategy, and user experience enhancements. Key responsibilities include managing product backlogs, facilitating communication between teams, and utilizing Agile methodologies for product development.

As a Senior Product Manager at Vianai Systems, you'll own the entire product lifecycle, driving the development of our Enterprise ML platform. You'll leverage market analysis to define the roadmap, manage product development, and collaborate with engineering, data science, and other teams to build a product that satisfies customer needs while analyzing metrics to ensure success.

The MLOps Engineer will develop and implement end-to-end Ops pipelines for ML model deployment, drive CI/CD automation, and monitor ML Ops systems across cloud services. The role requires hands-on experience with technologies like Azure, AWS, GCP, and container tools like Docker and Kubernetes.

In this role, you will design and build front-end and back-end components for ML products, take ownership of development cycles, and mentor other engineers. Focus on data-driven decisions and quality improvements in a collaborative team environment.

The Frontend Developer at Vianai will define and deliver a human-centered AI experience for ML products, collaborating with a team to build complex interfaces. Responsibilities include translating designs into user interfaces, applying software engineering expertise, and presenting work clearly. 3-5 years of experience in web application development and knowledge of data visualization frameworks is required.

As a Data Scientist, you will build and train AI applications, collaborate with teams globally, develop learning algorithms, and visualize data insights. A strong background in statistical modeling and experience with machine learning tools is essential.

The Customer Engineer at Vianai will collaborate with diverse teams to drive technical changes, support customers during onboarding, and perform in-depth software investigations. Responsibilities include problem-solving, leading technical solutions, and maintaining strong analytical skills.