Top Machine Learning Jobs in Pune

Implement secure, scalable, and robust product features independently within Agile teams. Responsible for planning, identifying solutions, implementing features, and ensuring code quality at cloud scale. Experience in enterprise web applications and Microsoft technology stack required. Exposure to Windows Azure is desirable.

Seeking a Lead Software Engineer for the AI/ML team at Icertis to develop enterprise web applications using ASP.NET Core, ASP.NET, C#, and Python. Responsibilities include translating business objectives into product features, owning the end-to-end process, and mentoring team members. Requires 8+ years of experience and a Bachelor's degree in Computer Science or equivalent.

Design and develop enterprise-grade SaaS products using Microsoft stack on Azure. Take ownership of implementing Icertis Contract Management at customers. Evangelize best practices for security and performance. Mentor technical teams and recommend technology for successful implementation.

The Software Engineer will design, implement, monitor, and maintain machine learning systems for Aera's platform. Responsibilities include developing distributed systems, infrastructure for ML model serving, and collaborating with teams to operationalize data science efforts.

The Software Developer I will design, develop, and implement software products for business projects, collaborating with teams and stakeholders. Responsibilities include coding, testing, quality assurance, and maintaining documentation while staying updated on new technologies and best practices.

As a Senior Software Engineer at ABBYY, you will drive the end-to-end development of features and systems, ensuring high quality and performance. You will collaborate with cross-functional teams to deliver solutions, continuously improve the codebase, and monitor system reliability while staying current with industry trends.

As a Developer Relations Engineer, you will grow a global community of developers, create technical content, advocate for developers’ needs, enhance developer experience, and represent the company at events. Your role focuses on building engagement and facilitating the use of our products.

The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.