Top Artificial Intelligence Jobs in Pune

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 Senior Machine Learning Engineer will lead the development and deployment of ML infrastructure, providing technical leadership, mentoring junior engineers, and collaborating with data scientists to create high-quality ML solutions. The role involves project management and engagement with stakeholders to ensure successful delivery of initiatives.

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.

The Senior Software Engineer at NewRocket will lead and mentor a team in developing ITAM, ITSM, and integration solutions using ServiceNow. Responsibilities include coding, testing, debugging, and implementing enhancements while collaborating with project teams to ensure successful delivery of customer projects.

Design, develop, and maintain cutting-edge AI solutions using Generative AI and Machine Learning. Extensive experience in algorithms, statistics, natural language processing, machine learning, deep learning, and data mining. Develop and promote machine learning models, design and integrate applications with internal and third-party API services. Requires 6+ years of experience and a Bachelor's degree in Computer Science or equivalent.

The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.