Top Artificial Intelligence Jobs in Pune

As an AI Engineer II, you'll develop and evaluate ML and LLM-based security models, perform data preparation, optimize workflows, and support model deployment on AWS.

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

The Data Science Manager will lead the Life Sciences R&D team, designing ML solutions, developing strategies, and managing projects while driving innovation and client relationships.

Join the AI Center of Excellence to design AI systems, collaborate with security teams, and optimize machine learning models for threat detection and automation, mentoring junior members in the process.

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.

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

The Applied AI Engineer will design and build agentic systems that automate insights into results, collaborating with teams to ensure systems are effective, reliable, and integrated with current AI tools.

Support the development of audits in alignment with bank standards, assess risks, communicate findings, and lead teams or projects as a BIA VP.

Supports audit development, assesses internal controls, and communicates findings to stakeholders. Leads teams, manages risks, and collaborates across functions to enhance operational effectiveness.

Contribute to the development and monitoring of ML and LLM-based security models, including data acquisition, model evaluation, and deployment on AWS infrastructure.

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

Develop and implement algorithms to solve complex problems, analyze data using statistical techniques, and collaborate with clients to communicate findings.

The Engineering Manager will lead the AI Governance team, focusing on compliance and security in GitLab's software development lifecycle, overseeing roadmap execution and team growth.

The Senior Business Analyst will work closely with Project Managers and stakeholders to enhance project delivery, analyze business processes, and propose innovative solutions.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern technologies.

The Solutions Architect is responsible for designing and implementing innovative solutions that balance technology risks and business delivery while collaborating with stakeholders to align on business needs.

The LCM Project Manager executes small innovation projects, collaborates with stakeholders, develops project management skills, and ensures project alignment with overall goals.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Design and deliver high-performance solutions using Java and Microservices. Lead architecture discussions, mentor teams, and drive AI adoption in SDLC.

Lead product development for an insurance-focused SaaS solution, collaborating across multiple teams and ensuring compliance and quality of deliverables.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

The Senior Backend Engineer for AI Governance will develop backend systems to support AI compliance, governance, and visibility for enterprise users, focusing on efficient architecture and implementation.

The role involves designing, developing, and deploying Generative AI solutions using large language models. Key tasks include fine-tuning models, implementing RAG pipelines, and ensuring compliance with ethical AI guidelines, while collaborating with various teams.

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.

As an AI Engineer at Equifax, you'll lead a team in building and deploying cloud-native solutions, focusing on data pipelines, AI integration, and mentoring junior engineers while leveraging GCP and modern development techniques.