Top Artificial Intelligence Jobs in Pune

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 role involves backend development using Python, building scalable APIs, AWS infrastructure management, and collaborating with AI engineers to develop AI-adjacent features.

Manage and design integration processes using Boomi and Workato, supporting and developing solutions for complex business issues. Mentor team members and ensure effective communication with stakeholders.

The Senior Engineer will design and develop full-stack applications on GCP, integrating AI/ML capabilities, mentor junior engineers, and optimize development practices.

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

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.

The Senior SAP Basis Administrator oversees SAP implementations, administration, and database management while enhancing system performance and providing 24/7 client support.

The Staff AI Engineer will design, build, and manage critical systems for Pattern's AI ecosystem, focusing on architecture, reliability, and team mentorship while utilizing AI/ML technologies.

Design and implement scalable machine learning models, automate tests, and utilize data engineering for actionable insights. Collaborate on AI/ML solutions meeting business needs.

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

Lead the design and implementation of AI-driven software solutions, mentor teams, contribute to strategic planning, and foster innovation in the organization.

Lead and mentor engineering teams to design and deliver MLOps and GenAI solutions. Drive technical strategy, enforce standards, implement model context and persistent memory architectures, integrate AWS services and LLM/observability tooling, and collaborate with stakeholders to align AI capabilities with business objectives.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.

Design, develop, and deliver scalable AI software solutions; collaborate with product, design, and data teams; ensure secure coding, unit testing, code quality, and performance optimization; lead or contribute to complex projects and mentor team members.

Design and develop AI-powered applications leveraging advanced LLM techniques, agent-based architectures, and intelligent workflows, while mentoring developers.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

The AI Product Specialist assists users with Pattern's AI products, providing training, troubleshooting, and documentation to enhance product adoption and effectiveness.

Develop AI-powered systems for supply chain workflows. Implement agentic AI features, build backend services, and support testing and validation for AI systems.

The Software Engineer in Test III will develop and execute automated tests, maintain testing tools, analyze defects, and ensure product testability within TraceLink's software solutions.

The Senior Software Engineer in Test builds and executes automated tests, develops testing tools, and collaborates on technical designs while ensuring system testability for the TraceLink platform.

Provide technical consulting and project leadership to implement, configure, and optimize Zendesk AI solutions. Drive adoption, change management, and measurable customer outcomes by building success plans, using analytics to predict churn/expansion, and delivering projects on time while collaborating across Sales and Customer Success.

The role involves developing AI-powered web applications using frontend and backend technologies, integrating LLM solutions, and deploying cloud-native applications.

As an Associate AI/ML Engineer, you will develop Python code for AI initiatives, design agent-based systems, and manage data pipelines in GCP, focusing on LLM applications and MLOps.

The Associate - AI | ML Engineer designs and optimizes prompts for large language models, develops supervised machine learning models, prepares data, evaluates model performance, and engages with stakeholders to communicate findings.

The Senior Associate - Product Owner leads AI/ML product strategy, manages the product backlog, collaborates with teams, and ensures compliance while mentoring junior owners.