Top Machine Learning Jobs in Pune

Sell SailPoint's IGA identity security SaaS to $5B+ enterprises by engaging C-level stakeholders, managing long sales cycles with POCs/RFPs, collaborating with GSIs and channel partners, developing account and opportunity plans, and meeting quota using Challenger methodology.

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.

Leads data science and AI/ML product development, designing, productionizing, and optimizing traditional machine learning and generative AI solutions. Builds LangChain and LangGraph applications, processes large datasets with PySpark and SQL, evaluates model quality and performance, and applies privacy, security, responsible AI, monitoring, and explainability controls. Partners cross-functionally on product strategy, mentors data scientists, establishes reusable technical practices, and drives releases and continuous product improvement.

Develops and productionizes machine learning and data science solutions for Mastercard’s Business & Market Insights products. Responsibilities include feature engineering, model training, evaluation, deployment, exploratory analysis, large-scale data processing with PySpark, advanced SQL, and scalable ML workflows. The role partners with product, engineering, client services, and sales teams to deliver analytics-driven products, evaluates AI/ML approaches, drives product improvements, and mentors junior data scientists.

Develop statistically effective algorithms and apply machine learning, hypothesis testing, data mining, and retrieval techniques to analyze complex datasets. Identify trends, create visualizations, communicate findings to clients and stakeholders, and evaluate emerging datasets and technologies. The role requires collaboration across consulting and analytics teams, with opportunities to build scalable solutions using generative AI, deep learning, big data, and cloud technologies.

Leads client-facing AI and digital transformation engagements from strategy through implementation and adoption. Manages cross-functional teams building enterprise Generative AI, Agentic AI, machine learning, and analytics solutions. Advises senior stakeholders, develops client relationships, supports business development, manages budgets and vendors, ensures engineering and architecture quality, hires and mentors talent, and drives AI scaling initiatives across consulting engagements.

Leads and develops a Data Science team, oversees predictive and machine learning model delivery, establishes governance and lifecycle standards, and partners with business, engineering, and analytics leaders. Translates complex data into executive insights, frames ambiguous business problems, improves analytical processes, ensures production-ready models, and measures business impact while developing technical talent and promoting responsible, explainable analytics.

Develop and scale globally relevant data analytics and agentic AI products for enterprise and credit risk customers. Partner with analytics, machine learning, engineering, operations, legal, customer experience, commercial, and product teams. Gather customer feedback, analyze data, define product direction, create requirements and user stories, communicate product updates and risks, and support go-to-market initiatives throughout the product lifecycle.

Leads technology risk, application security, AI governance, and compliance assessments across applications, cloud services, platforms, third parties, and AI solutions. Defines assessment scope, evaluates controls and residual risk, documents findings, oversees remediation, supports incidents, and provides management reporting. The role also contributes to security policies, assessment methodologies, DevSecOps governance, secure software development, AI risk management, and continuous improvement while collaborating with technical, legal, privacy, compliance, and business stakeholders.

Deliver and support a real-time sanctions platform transformation using FircoSoft Continuity. Responsibilities include system integration, data architecture, MQ-based messaging, deployment and redundancy design, vendor coordination, data governance, and scalable solution delivery. The role also requires mentoring stakeholders, translating complex technical concepts, and ensuring auditable, testable implementations delivered on time and within budget.

Develop advanced data science algorithms, apply statistical and machine learning techniques to large datasets, evaluate emerging data technologies, and build scalable generative AI and deep learning solutions. Collaborate with clients and engineering teams to communicate findings, deploy models into production, and maintain reliable workflows using software engineering best practices.

Supports Legal, Compliance, and EHS applications by monitoring availability and performance, managing incidents and user access, maintaining integrations, investigating root causes, coordinating vendors and stakeholders, documenting procedures, supporting releases and audits, and improving support processes through automation and enhanced monitoring.

Leads software engineering squads delivering scalable, high-performing products. Responsibilities include architecture and system design, full-stack development, prioritization, cross-functional coordination, mentoring, quality and security oversight, automation, testing, root-cause analysis, operational excellence, and continuous improvement across the software development lifecycle.

Build and scale machine learning systems for search, including ranking models, feature engineering, model deployment, monitoring, experimentation, and online inference. Design fault-tolerant distributed infrastructure, optimize search latency and throughput, and develop reliable ML services from proof of concept through production. Collaborate across engineering and product teams, communicate technical decisions, review code, document systems, and mentor junior engineers.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and interfaces using human-centered design, Lean UX, and Design Thinking. Leads workshops, develops personas and user journeys, creates visual and interaction designs across web, mobile, and IoT, and collaborates with product, technology, marketing, and regional teams. Conducts iterative user testing, contributes to design systems, and shapes AI- and ML-enabled experiences while balancing usability, business goals, regulatory compliance, and global user needs.

Leads data analytics for Financial Crime Agile Testing, defining hypotheses, testing plans, data requirements, and analytical approaches. Oversees SQL, Python, and SAS analytics, quality-controls scripts and outputs, evaluates data quality and control effectiveness, and communicates findings to stakeholders. Provides technical guidance and escalation support to analysts, contributes to methodology improvements, and ensures independent, risk-based, reproducible testing with appropriate documentation, evidence retention, and data-privacy compliance.

Lead end-to-end solution architecture for Java and Spring Boot microservices, cloud-native platforms, full-stack applications, and event-driven systems. Drive modernization, cloud migration, security, scalability, and resilience initiatives across Azure or AWS environments. Produce architecture deliverables, incorporate AI capabilities, collaborate with product and engineering stakeholders, and mentor senior engineers while guiding enterprise technology decisions.

Develop an externally funded biomedical engineering research program, conduct interdisciplinary research in biomedical imaging and bioinstrumentation, teach undergraduate and graduate courses, mentor students, contribute to curriculum development, and collaborate across engineering, medicine, and computational science disciplines.

Develop and deliver scalable, secure software and large-scale RPA automations using UiPath. Design process automation architectures, integrate REST and SOAP services, manage releases and version control, monitor performance, handle incidents, and conduct root-cause analysis. Collaborate with cross-functional stakeholders, promote code quality and secure coding, mentor developers, and help lead technical teams. The role is based in Pune and requires a bachelor’s degree in computer science, IT, or engineering.

Lead enterprise data architecture and AI-enabled Master Data Management strategy across customer, product, supplier, vendor, and reference data domains. Establish governance, stewardship, quality, metadata, integration, and golden-record practices. Evaluate and implement MDM platforms, design integrations with enterprise applications, oversee architecture standards, and guide AI-assisted data workflows. Partner with executives and technical teams, lead transformation initiatives, and mentor architects, developers, analysts, and data engineers.

Leads enterprise data quality strategy, architecture, platforms, frameworks, observability, governance, and automation. Designs reusable quality capabilities for batch, streaming, cloud, on-premises, and SaaS environments; establishes rules, metrics, alerts, and remediation workflows; integrates quality with metadata, lineage, catalogs, MDM, and data contracts; mentors engineering teams; evaluates tools; and applies AI and machine learning to anomaly detection, root-cause analysis, and trusted AI-ready data platforms.

Own the administration, security, reliability, observability, and cost management of the company’s data platform. Operate and optimize Snowflake during migration from BigQuery, manage AWS S3 and vendor data ingestion, extend practices to Postgres and NoSQL databases, and implement access controls, SSO, encryption, monitoring, incident response, infrastructure as code, and CI/CD. Support machine learning and AI workloads, manage data vendors and tooling, improve cost transparency, and establish reusable data operations practices across teams.

Lead end-to-end product design for complex, data-rich web and mobile interfaces. Build scalable component libraries and design systems, conduct UX research and usability testing, create high-fidelity prototypes, collaborate with engineering and product teams, integrate AI-assisted workflows, mentor junior designers, and present solutions to stakeholders.

Develop and deploy AI and machine learning solutions for DNV’s maritime business processes. The role covers stakeholder engagement, data analysis, technical architecture, experimentation, programming, testing, DevOps release cycles, and production integration. The successful candidate will identify new applied AI opportunities, collaborate with data scientists, developers, engineers, and domain experts, and contribute to business value through practical AI systems.

Owns delivery health across a portfolio of enterprise AI engagements in India. Responsibilities include architecture and production-readiness reviews, distributed team staffing, delivery recovery, estimation, SOW review, change control, margin protection, and commercial accountability. The role partners with engagement, presales, architecture, and platform leaders to deliver production AI systems, resolve risks, redeploy capacity, and convert client-specific solutions into reusable platform capabilities.