Top Artificial Intelligence Jobs in Pune

The AI Engineer II will support data acquisition, build and evaluate ML models, contribute to LLM workflows, and collaborate closely with senior team members to enhance AI capabilities in cybersecurity.

Lead end-to-end delivery of ML and LLM-based security solutions on AWS: design ML/RAG pipelines, deploy and monitor models (SageMaker/Bedrock), build agentic workflows, mentor engineers, and ensure model explainability and evaluation.

As a Principal AI Engineer, you will define system architecture for AI platforms, ensuring scalability and security while mentoring teams and making architectural decisions.

The Risk Reporting / Risk Governance Manager oversees risk management processes, develops risk reports, cleans data, and engages stakeholders to enhance decision-making quality.

The Technical Manager will lead malware research, manage a team, conduct advanced analysis on threats, and develop detection strategies.

Seeking a motivated Solution Consultant to provide Advanced Process Control solutions, support sales efforts, and optimize manufacturing processes with a focus on analytics.

Lead and scale QuillBot's AI Engineering & MLOps function by overseeing the full ML lifecycle, optimizing performance, and mentoring a team while collaborating cross-functionally.

Develop and implement digital twin architectures for patient modeling, research AI innovations, mentor junior team members, and contribute to client solutions.

Lead technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

Lead enterprise sales strategy for manufacturing and conglomerates, manage large accounts, and mentor a sales team while aligning solutions with client operational priorities.

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.

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

As a Reactive Problem Manager, you'll ensure timely resolution of critical IT incidents, lead root cause analyses, and coordinate communication across teams.

Lead and scale GitLab's Enterprise Technology & AI operations in India, focusing on delivery excellence, QA, and building high-performing teams in a remote environment.

The Associate Staff Engineer will lead AI research projects, prototype scalable systems, publish research, mentor teams, and align technical solutions with client needs.

As a Software Engineer 2, you'll develop backend services using Python or Java, contribute to feature development, and ensure code quality with comprehensive testing.

Develop automation for Kubernetes clusters, manage network protocols, and collaborate with R&D teams in a fast-paced environment.

The role involves developing and deploying ServiceNow CSM features using AI technologies, collaborating across teams to enhance customer workflows, and managing integrations and user experience in a high-energy environment.

As a Senior AI Engineer, you'll build and productionize AI systems using LLMs, develop intelligent agents, and optimize user interactions through automation.

Lead the technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.

Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.

The role involves leading AI/GenAI solution architecture, pre-sales engagements, and mentoring teams. Responsibilities include designing solutions, engaging with clients, and ensuring compliance.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Support development, fine-tuning, and deployment of machine learning models; collaborate with stakeholders and engineers; prepare analytic plans; manage deliverables across projects; and present results to technical and non-technical audiences.

Lead AI Engineer designs and builds production-grade generative AI systems (LLM fine-tuning, multimodal and agentic apps), retrieval and KG integrations, cloud deployments and MLOps, and mentors engineers while collaborating with product and CX teams.