Top Artificial Intelligence Jobs in Pune

Define and own end-to-end product architecture for Mastercard's switching and network services. Collaborate with product and engineering teams to design scalable, resilient, secure systems, apply AI/LLM capabilities, produce architecture artifacts, validate technical feasibility, and guide implementation while engaging stakeholders across regions and customers.

Design, scale, and maintain secure, highly available AWS infrastructure and platform capabilities for production AI/ML workloads. Build Terraform-based IaC, manage GitLab CI/CD pipelines, implement centralized observability with Prometheus/Grafana and alerting, drive DORA metrics, enable autoscaling/self-healing Kubernetes deployments, enforce platform governance and security best practices, and mentor engineering teams.

Lead a data science team to design and implement AI/ML solutions for life sciences R&D (drug discovery, clinical trials, regulatory), manage projects and client relationships, develop proposals and POVs, build predictive models, integrate large datasets, and communicate insights while driving capability development and research.

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

Design, build, and maintain scalable data pipelines and cloud data platforms to support AI/ML workloads. Deploy, monitor, and operationalize machine learning models, implement CI/CD and MLOps, ensure data quality, scalability, and governance while collaborating with data scientists, engineers, and stakeholders.

Design, build, train, and deploy AI/GenAI models (NLP and computer vision). Move research models into production via APIs/microservices/cloud, optimize performance, handle large datasets, and collaborate with data scientists and engineers to align solutions with business objectives.

Lead the development of generative AI systems, overseeing multi-agent AI architectures, machine learning pipelines, and implementing responsible AI practices. Drive innovation in AI applications using various frameworks and databases while managing cross-functional teams.

Perform static and dynamic malware analysis, develop automation and detection signatures, conduct IOC/reputation analysis, validate AI/ML model outputs, and produce threat research and tooling to protect and scale Zscaler's platform.

The Lead AI Scientist will design and optimize LLM architectures, fine-tune models, develop AI systems, mentor junior members, and collaborate with clients and teams on AI solutions.

Secure identities for AI systems by discovering and inventorying AI/non-human identities, enforcing least-privilege lifecycle controls, implementing access policies, monitoring identity behavior, performing assessments and remediation, supporting governance and compliance, producing metrics and runbooks, and advising engineering teams on AI identity security best practices.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

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

Design and prototype technical and AI-focused online learning experiences. Partner with SMEs and vendors to produce vendor-ready curricula, modular course assets, assessments, and design systems. Drive QA, pedagogical innovation, and AI-assisted tools to measure and improve learner outcomes.

Design and build production-grade AI applications embedding ML/LLM capabilities. Integrate trained models into APIs, services, UIs, and workflows. Operationalize models (versioning, deployment, monitoring), implement guardrails, ensure security/privacy/compliance, apply bias mitigation and explainability, and mentor team members on AI engineering best practices.

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.

Drive outbound sales for Codebase in the US by identifying target SaaS/tech accounts, generating qualified leads, managing lead-nurturing, coordinating discovery meetings, collaborating on proposals and sales collateral, maintaining CRM records, and meeting lead-generation and pipeline targets for software development, IT consulting, and staff augmentation services.

Manage and grow an India-based AI Development team to deliver enterprise agent applications. Translate product priorities into sprints, partner with the Director of AI on roadmap and technical execution, establish async-first delivery rhythms across US/India, handle India operations (hiring, performance, compensation), coach on modern programming practices, and unblock work through cross-team relationships.

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

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

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Lead development and deployment of production-grade generative AI systems: LLM fine-tuning, multimodal and agentic applications, retrieval and KG-enhanced retrieval, scalable APIs/microservices, cloud MLOps, mentoring engineers, and cross-functional collaboration to deliver knowledge-grounded customer-facing AI solutions.