Top Artificial Intelligence Jobs in Pune

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

Lead enterprise clients to improve AI search visibility through analysis, custom GEO playbooks, C-suite presentations, prompt testing, monthly reporting, and cross-functional product collaboration to drive platform adoption and measurable visibility gains.

Lead product strategy and execution for a Voice AI platform, define roadmaps, gather requirements, set KPIs, prototype with LLMs and speech tech, collaborate with engineering and data science, and drive product launches and continuous improvement for drive-thru automation at scale.

As a GenAI Intern, assist in developing and testing generative AI models, conduct research, prepare datasets, and collaborate on AI-driven features.

Prototype bold visual directions and create AI styles, images, and videos. Develop and refine prompts for AI design tools, iterate quickly on experiments, and collaborate with creatives to deliver impactful AI-driven design assets for millions of users.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

As an AI/ML Engineer, you will design, develop, and implement robust ML models, automate processes, and collaborate across teams to improve supply chain analytics.

The Senior Software Engineer will design, develop, and deploy AI platforms, implement algorithms, contribute to open source, and mentor junior engineers.

The Principal AI Researcher will advance Generative AI systems through research, development, and leadership in technical projects, with responsibilities including algorithm design, mentoring, and producing research publications.

The Applied AI Researcher will conduct research to advance AI systems, design and implement methodologies, develop algorithms, and partner with teams for product integration.

Seeking a hands-on Data Scientist with 4-10 years in AI/ML for model development and optimization in generative AI. Responsibilities include managing experiments across text, audio, and video modalities, and driving initiatives in a dynamic R&D environment.

Design, build, and operate scalable, secure cloud infrastructure (primarily GCP) with AI-enabled observability and automation. Optimize CI/CD pipelines, implement IaC (Terraform), support AI/ML platforms, troubleshoot distributed systems, and provide 24x7 on-call incident response. Mentor junior engineers and enforce SDLC, security, and compliance standards.

Design, develop, fine-tune, and deploy large-scale generative AI solutions (LLMs, RAG, AI agents). Build end-to-end AI pipelines, integrate via APIs/microservices, optimize model performance and cost on cloud, and ensure security, governance, and responsible AI practices.

Design, train, optimize, and deploy production-ready computer vision models for image and video analytics. Prepare datasets, integrate models with platforms, optimize for GPU and inference speed, and collaborate with cross-functional teams while maintaining code quality and documentation.

The Senior SEO Manager will drive ClickUp's AI search strategy, analyze AI visibility, and collaborate on improving search performance across various platforms, ensuring brand clarity and impact in modern discovery systems.

The Lead Engineer will drive CRM development with AI tools, manage integrations, and enhance both front and backend systems for scalability and performance.

Lead the architecture and development of AI-driven scheduling systems, mentoring engineers and creating optimization models for resource management.

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

Lead end-to-end full-stack feature development using AI agents across frontend and backend: own requirements, architecture, implementation, testing, rollout, and monitoring while improving AI-native engineering workflows and reliability.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.

As an AI Engineer, you'll develop and fine-tune machine learning models, work with large datasets, implement deep learning models, and collaborate on AI application development in NLP and predictive analytics.

The role involves designing and deploying intelligent Voice Agents to solve business problems, ensuring performance and scalability, and collaborating across teams to implement AI-driven solutions.

Lead the intelligent transformation of operations support functions through AI and data solutions, overseeing hands-on technical delivery and team leadership in AIOps initiatives.