Top Machine Learning Jobs in Pune

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Perform static and dynamic malware analysis, develop detections and protections, analyze IOCs, validate AI/ML outputs, build automation tools, and publish threat research.

Develop statistically effective algorithms and apply machine learning, deep learning, and generative AI techniques to high-dimensional problems. Use hypothesis testing, data mining, and big-data tools to identify trends, build predictive models and recommender systems, collaborate with clients and stakeholders, and evaluate emerging datasets and technologies for scalable analytical solutions.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

The role involves designing and implementing machine learning tools for data analysis, developing pipelines for various sensor datasets, and integrating applications into verification ecosystems while guiding junior engineers.

Manage and grow a team responsible for observability, monitoring, and integrations across monetization systems. Improve reliability and data quality for billing, provisioning, subscriptions, and revenue-impacting workflows; define telemetry and integration strategies; implement anomaly detection and incident management; and partner with cross-functional stakeholders to ensure reliable customer and financial workflows.

The Director of Data Platform Engineering will oversee the data infrastructure, manage relational databases, lead AI integration, and ensure data governance while fostering a collaborative team environment.

Assess and test the bank's internal control framework, identify and investigate control weaknesses, document findings, recommend remediation, and report to stakeholders. Execute control reviews aligned to policies and the Barclays Controls Framework, collaborate with business stakeholders, and apply data analytics and Python tooling to support control activities and automation.

Design, develop and deliver scalable, secure software and large-scale automations (primarily UiPath). Collaborate with product, design, and engineering teams, lead or mentor mid-size technical teams, perform code reviews, enforce secure coding and unit testing, integrate REST/SOAP/web services, manage versioning and releases, and support infrastructure including VMs, credential vaults and Active Directory.

Analyze and model customer data using classical ML and NLP techniques, select algorithms, perform data wrangling and visualization, deploy models on cloud/big-data platforms, and communicate technical findings to non-technical stakeholders.

Lead design and implementation of ServiceNow ITOM Event Management and Dynatrace observability to reduce alert noise, automate incident correlation and remediation, implement observability-as-code via APIs/CI-CD/Terraform, leverage AI/ML for root-cause and predictive monitoring, and track KPIs like MTTR and alert reduction.

Design, develop, and deploy AI/ML solutions for marketing, pricing, and customer insights. Build predictive models, perform feature engineering and statistical analysis, create scalable model APIs, ensure data quality and governance, collaborate with IT and stakeholders, and support the full AI lifecycle including deployment, monitoring, and model performance reporting.

Lead requirements gathering, process analysis, and documentation for Legal IT systems. Support design, testing, training, stakeholder communication, and project delivery. Identify automation/AI opportunities and monitor KPIs to improve contract lifecycle efficiency and compliance.

Lead a Pune-based analytics team to deliver and govern finance BI reporting and AI/ML analytics. Manage intake, prioritize initiatives, build standardized dashboards and KPIs, ensure data governance and model lifecycle practices, champion ML/LLM automation, reduce manual work, and drive decision-ready insights for global finance stakeholders.

Develop, validate, and optimize electrical models and HIL simulations (OPAL-RT) for power management products using Matlab/Simulink. Build reusable HIL/SIL solutions, validate against prototypes, support product design teams and customers, implement control algorithms (C/C++), document results, and improve simulation capabilities.

Lead design, build and maintain data architectures, pipelines, warehouses and lakes; develop processing and analysis algorithms; collaborate with data scientists to deploy ML models; manage risk and lead teams or projects.

Lead end-to-end AI solutions for clients, manage project delivery and people, partner with sales for business development, collaborate with engineering/MLOps/DevOps, ensure data quality, model training, tuning, deployment, monitoring, and provide executive updates on status and risks.

Lead data architecture, governance and pipelines for HR transformation programs; perform advanced analytics and ML-driven insights; design dashboards and automate reporting; advise stakeholders, manage data quality, lineage, migration, risk and controls, and drive strategic improvements.

Perform data quality investigations, build and automate data pipelines, apply advanced analytics and ML, create dashboards and reports, and translate findings into actionable business recommendations while improving governance, lineage, and controls across HR transformation programmes.

Analyze and interpret complex data to drive business decisions. Design and deliver reports and dashboards using SAP Fiori and SAP Analytics Cloud. Improve data quality via profiling, catalogs, ML techniques, and cleansing rules. Collaborate with stakeholders, document processes, mentor junior staff, and integrate analytics into governance and technology initiatives.

Lead AI validation and QA for 3D modeling/rendering features. Develop test strategies, automated frameworks, and AI model validation approaches. Execute manual and automated testing, measure model performance, investigate issues, collaborate with engineering and data science, mentor team members, and integrate AI validation into CI/CD pipelines.

Design and implement scalable cloud infrastructure and CI services on GitHub and Kubernetes to run millions of automated jobs. Work on job scheduling, resource management, automated recovery, metrics/alerting/storage services, and apply ML to improve performance. Collaborate across teams and time zones to deploy features across thousands of servers.

Lead and deliver multiple software projects, planning schedules, allocating resources, managing stakeholders, tracking risks/issues, ensuring quality/compliance, handling scope changes and escalations, and supporting proposals with estimates.

Design, develop, and maintain credit scoring and real-time decisioning models using machine learning and alternative data. Validate models via A/B and back testing, integrate into production, monitor performance, and ensure regulatory compliance while collaborating with engineering and product teams.

Lead product strategy and roadmap for AI/ML-powered BIM and AEC platforms. Define and deliver ML-driven features (generative design, predictive analytics, computer vision, intelligent document processing), build data and model pipelines, ensure governance, optimize AEC workflows, and collaborate with cross-functional teams and industry stakeholders to drive adoption and measurable outcomes.