Top Artificial Intelligence Jobs in Pune

The role requires strong project management and data analysis skills with a focus on technology and AI in the banking sector.

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

The role involves contributing to agentic AI workflows and LLM systems, as well as developing ML pipelines for security data, under senior guidance. It requires hands-on skills in prompt engineering and RAG pipelines and aims to build strong foundations in AI engineering within a cybersecurity context.

The role involves designing, developing, and deploying AI/ML solutions, managing data pipelines, and optimizing AI systems for operational improvements.

Design and deliver AI/ML and Generative AI solutions for banking platforms by developing AI models, data pipelines, and integrating AI capabilities into enterprise systems.

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

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

The AI/ML Engineer will design, build, and deploy AI solutions to enhance observability and automation. Responsibilities include developing NLP models, generative AI solutions, and AI-driven analytics while collaborating with cross-functional teams.

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.

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 Senior DevOps Engineer will manage multi-cloud environments, automate infrastructure, optimize costs, enhance cloud security, and improve observability using various tools and technologies.

The role entails leading the delivery of ML solutions, designing pipelines for security use cases, optimizing models on AWS, and mentoring junior engineers.

The Account Executive will drive national revenue growth in large enterprise accounts, manage multi-stakeholder engagements, and mentor a sales team for digital transformation initiatives.

The Account Executive will drive national revenue growth for large enterprise accounts, lead complex multi-stakeholder engagements, and build relationships with senior leadership, focusing on digital transformation initiatives in the manufacturing sector.

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.

The Senior Systems Support Engineer will provide system support for SAAS and Linux applications, troubleshoot issues, mentor team members, and enhance system monitoring. Requires expertise in Azure and cloud technologies, with a focus on AI application support.

The AI Engineer will develop and implement AI models, optimize performance, manage data handling, and collaborate with teams to align solutions with business goals.

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

The role involves designing, developing, and deploying AI and ML models. Responsibilities include optimizing models, collaborating on AI projects, and mentoring juniors.

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 audit development, assess internal control effectiveness, communicate findings, and lead teams in the Traded Risk audits at Barclays.

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.

As an Intermediate Backend Engineer, you'll develop backend features for AI Governance, focusing on compliance tools, automated testing, and collaboration with cross-functional teams.