Top Tech Jobs & Startup Jobs in Pune

Develops and productionizes machine learning and data science solutions for Mastercard’s Business & Market Insights products. Responsibilities include feature engineering, model training and deployment, exploratory analysis, large-scale PySpark processing, advanced SQL, pipeline optimization, responsible AI controls, and product innovation. Partners with product, engineering, sales, and clients to prioritize solutions, deliver milestones, incorporate feedback, and improve products. Provides technical leadership and mentorship to junior data scientists.

Develops advanced statistical models and custom analyses using analytics tools to guide client decision-making. The role communicates findings through presentations, builds client relationships, provides project updates, creates deliverables, implements solutions, and mentors Associates. Candidates need a quantitative academic background, programming or analytics-tool proficiency, strong communication skills, and up to three years of relevant experience.

Design, build, and ship production LLM and agentic AI systems for cybersecurity products. Lead architecture, model strategy, fine-tuning, post-training, inference optimization, evaluation, and deployment. Establish engineering practices, lead design reviews, mentor engineers, manage cross-functional technical outcomes, and translate customer needs into scalable, commercially viable AI solutions.

Design, develop, test, deploy, and support scalable Java backend applications using Spring Boot, microservices, and REST APIs. Own features through production, build secure and resilient services, collaborate with product, architecture, QA, DevOps, and engineering teams, and contribute to code reviews, troubleshooting, root cause analysis, and engineering best practices.

Architect and deliver high-performance Angular-based UI experiences for SailPoint’s cloud SaaS product. Build responsive TypeScript components, define REST API contracts with microservices teams, resolve customer UI issues, improve frontend architecture and automated test coverage, and prevent critical regressions. The role also includes mentoring engineers, collaborating with UX and Product Management, estimating quarterly epics, and leading frontend architecture planning in an Agile environment.

Leads the architecture and development of AI-focused quality engineering frameworks, evaluation pipelines, synthetic data tools, prompt regression suites, and self-healing automation. Establishes strategies for testing hallucinations, model drift, bias, accuracy, reliability, performance, and scalability in AI-driven enterprise products. Provides architectural direction, advises executives, mentors engineers, drives cross-functional adoption of AI testing standards, and represents the company externally.

Design, build, and operate production AI services, agentic workflows, and LLM-powered features. Responsibilities include developing Python APIs and microservices, implementing RAG and vector search, optimizing model inference, integrating event-driven systems, deploying services on Docker and Kubernetes, monitoring reliability, managing CI/CD and testing, and partnering with frontend teams to deliver end-to-end AI products.

Leads advanced crashworthiness and NVH simulations for automotive seating systems using LS-DYNA and OptiStruct. Ensures compliance with global safety regulations, supports simulation-driven design optimization, mentors junior analysts, collaborates with global teams, and guides suppliers in delivering robust, lightweight, cost-effective seating solutions.

Leads 24x7 EDI production support for the US market across Sterling B2B Integrator, Axway B2Bi, and Lightwell. Responsibilities include monitoring transactions, troubleshooting mapping and connectivity failures, managing incidents and escalations, coordinating with partners and vendors, maintaining SLAs, supporting onboarding, and improving operational processes. The role guides support teams, drives root-cause analysis, maintains documentation, and strengthens reliability for critical healthcare business integrations.

Provide frontline technical support for LogicMonitor users by managing incoming chat and ticket cases through resolution within SLAs. Troubleshoot SaaS IT infrastructure management issues across Linux, Windows, networks, containers, and cloud platforms. Educate customers, advocate for their needs, collaborate with product, development, and customer success teams on escalations, and contribute to product enhancements and bug resolution.