Top Artificial Intelligence Jobs in Pune

As a Staff AI Engineer, you'll build and productionize advanced AI systems, focusing on large language models and intelligent agents to enhance productivity for millions of users at Apollo.io.

Design, develop and implement scalable, secure solutions (automation, AI, cloud) that meet business needs. Lead architecture, perform impact assessments (risk, capacity, cost), support operations, and ensure governance and resilient designs while influencing stakeholders.

Lead AI Engineer responsible for architecting, developing, and deploying AI solutions. Oversee AI application development, integrate advanced models, and collaborate with cross-functional teams to innovate and enhance user experiences.

The QA Engineer will develop a Quality Assurance framework, validate data migration, automate testing processes, and collaborate across teams to ensure product quality.

The role involves building scalable RAG solutions, optimizing workflows, collaborating on product features, and ensuring software quality. Requires expertise in AI applications and Python.

The Senior AI Engineer will design, develop, and implement AI solutions, focusing on machine learning and natural language processing for corporate banking applications.

The AI Tech Lead will strategize and implement AI solutions across the bank, driving business efficiency and enhancing customer experiences through innovative AI and machine learning applications.

The Senior AI Engineer will lead AI solutions design, development, deployment, and integration, focusing on language models and conversational AI systems while collaborating cross-functionally and ensuring quality and compliance in deliverables.

The Senior AI/ML Engineer will design and implement simulation models and optimization solutions for warehouse logistics and network efficiency, focusing on digital twin simulations and resource allocation.

Lead complex AI model training, evaluation, and optimization efforts. Drive efficiency in LLM lifecycle, ensuring high-quality, deployable models.

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

As an Applied AI Engineer, you will design, develop, and deploy AI and automation solutions, collaborating with various stakeholders. Responsibilities include building workflows, integrating LLMs, improving solutions, and producing documentation.

Seeking a Senior Developer to leverage Generative AI and Multi Modal AI for creative content generation, build automation workflows, and integrate AI services, focusing on product development across diverse modalities.

The role involves designing and improving AI software, developing testing strategies, collaborating with cross-functional teams, and establishing quality measures for Generative AI applications.

Responsible for designing, developing, and delivering high-quality software solutions, collaborating with cross-functional teams, and managing junior developers. You will influence decision-making and promote technical excellence.

Drive architectural decisions for a large-scale AI-first application platform, ensuring high-impact and reliable solutions while mentoring engineers and cultivating a collaborative culture.

The role involves leading the strategy and execution for Weave's mobile platform, enhancing user experience and engagement through innovative mobile solutions.

The Technical Product Manager will define the AI product roadmap, collaborate with teams, and leverage data to enhance enterprise productivity.

As a Senior Software Engineer, you'll design and build AI-driven solutions, collaborating across teams to meet business objectives, leveraging Python, and cloud technologies, especially AWS.

The Project Coordinator/Business Analyst will manage web and application development projects, ensuring quality delivery and alignment with client needs while facilitating Agile processes.

The Manager of AI Services Consulting leads a team of consultants to implement AI solutions, optimize customer experience, and improve operational delivery in a hybrid work environment.

The role involves developing data pipelines, managing data integration, optimizing SQL queries, deploying AI systems, and maintaining data quality and support activities.

The role involves troubleshooting complex customer issues in EPC and 5G Core environments, participating in product deployments, and enhancing operational efficiency using AI. Responsibilities include deep technical analysis, collaboration with engineering teams, and leading improvement initiatives.

Lead innovation and process improvements in testing, integrate AI into QA practices, perform automation scripting, and mentor Quality Engineers.

Drive technical excellence in AI/ML by leading software solutions, mentoring teams, collaborating with stakeholders, and shaping technology strategies.