Top Artificial Intelligence Jobs in Pune

The FBS Data Analyst will build dashboards, analyze transcription data, ensure data quality, and create NLP insights while liaising between business and IT teams.

Design and implement advanced AI solutions, collaborate with data scientists, and improve product effectiveness in a team-oriented environment.

Design, develop, and deploy AI solutions. Collaborate with teams to improve user experience and streamline operations. Mentor junior members.

The Senior AI Engineer will design and deploy AI/ML solutions, mentor junior staff, and collaborate on projects across teams.

Develop and deploy AI and ML models, collaborate with teams to design algorithms, and leverage data for insights and solutions.

As a Senior AI and ML Engineer at NVIDIA, you'll build insights into AI tools, develop testing environments, and automate workflows, enhancing productivity for software development and DevOps.

As a Machine Learning Engineer, you will develop AI solutions, own AI features, integrate ML into CI/CD, mentor peers, and work on infrastructure challenges.

The Gen AI Engineer is responsible for designing and developing AI agent workflows, leading code reviews, integrating with enterprise systems, and ensuring robust, secure implementations.

The AI Engineer will develop and deploy AI/ML models and solutions, collaborate with teams, and ensure production readiness while addressing complex business problems.

The role involves developing AI-driven automation solutions, debugging systems, shipping SaaS products, and ensuring security while working remotely.

As a QA Engineer, you'll ensure quality in an AI-driven real estate platform through testing, collaborating with teams, and promoting QA best practices.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

The Senior AI/ML Engineer will lead AI/ML projects, guide junior engineers, and engage with stakeholders to deliver business value through solutions involving NLP and Generative AI.

The role involves leading AI/ML initiatives, developing solutions, guiding teams, and ensuring the scalability and sustainability of AI models for business impact.

The AI Engineer will develop and maintain MLOps pipelines for machine learning models, focusing on computer vision algorithms and ensuring efficient production deployment.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The role involves developing QA strategies for AI applications, testing models for fairness and performance, and collaborating on automation frameworks.

The Staff Engineer, Generative AI will architect and implement scalable GenAI solutions, collaborate with teams, and ensure production-grade deployment on Azure or AWS.

The Multi Modal AI Senior Developer will leverage Generative AI for creative content generation across various modalities, integrate AI services and develop web applications, while optimizing workflows and collaborating with cross-functional teams.

The Senior AI Engineer will architect and implement AI platforms, build ML pipelines, mentor teams, and ensure agile delivery of AI solutions.

As a Senior AI Engineer, you will design and implement AI platforms, mentor teams, drive innovation, and deliver impactful AI solutions across the organization.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

As an AI Integration Engineer, you'll lead the deployment of ServiceNow and Workday connectors, troubleshoot integration issues, deliver customer workshops, and collaborate with product teams to enhance connector performance.

Design, build, and scale Generative AI solutions in ServiceNow. Collaborate with teams to enhance workflows, deploy AI workloads, and ensure compliance and performance.