Top Machine Learning Jobs in Pune

Lead large-scale digital transformation programs for supply chain and manufacturing clients using AI/ML, Industry 4.0/5.0, IoT/IIoT, cloud, and automation. Advise C-level stakeholders, architect digital solutions (digital twins, predictive analytics, MES/SCADA integrations), manage multi-geography teams, drive change management, and support pre-sales and practice growth.

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.

Lead delivery of high-performing, scalable software as a hands-on lead for one or two squads. Design and architect distributed, cloud-native microservices, drive prioritization and cross-functional coordination, mentor engineers, ensure quality/performance/security, improve automation and SDLC, and resolve complex cross-service problems.

Lead and grow a data science team to deliver predictive and ML-driven insights. Partner with business and engineering to build production-ready models, enforce model governance, ensure explainability, and measure business impact while driving continuous improvement.

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.

Lead technical design and build scalable data pipelines and platforms to support AI Ops, SRE, and analytics. Set standards for quality, security, and observability, mentor engineers, operationalize models, and contribute to roadmap and documentation for the ONE Data Lake.

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.

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.

Lead design and implementation of an Analytic Foundation and scalable big-data services delivered via APIs. Build data pipelines, analytics and data models, responsive UIs, and production ML/data-driven applications. Ensure high-quality, well-tested code, mentor junior engineers, drive process improvements, and collaborate with product and design teams to deliver customer-focused data solutions.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Design and implement scalable backend services, lead full software lifecycle, write design docs, mentor engineers, collaborate cross-functionally, improve performance and quality, and integrate AI tools to boost development productivity.

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.

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 GBSC data engineering and analytics initiatives: design data/ETL infrastructure, implement automation, enable large-scale structured and unstructured data analysis, manage team delivery, and communicate insights to influence business decisions.

Develop and optimize deep learning, graph, and ML techniques for GPU architectures; work with customers to deliver AI solutions; collaborate with architecture, research, libraries, and system software teams.

Lead design and development of Clean Core-compliant S/4HANA extensions and BTP side-by-side apps. Build CDS views, OData services, AMDP, RAP artifacts, and Fiori/UI5 front ends. Integrate AI/ML/LLM solutions into SAP processes, implement integrations via OData/REST/Event Mesh/CPI, modernize legacy ABAP, deliver RICEFW objects, ensure code quality with ATC/Code Inspector, and collaborate with functional teams to translate business requirements.

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 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 RTL front‑end EDA methodologies and low‑power initiatives. Provide expert support for RTL power analysis and simulation, develop automation frameworks (Python/Tcl/Shell), drive generative‑AI adoption in EDA workflows, interface with EDA vendors, document methodologies, and mentor junior engineers while working on‑site in Pune.

Design, build, test, deploy, and maintain large-scale distributed systems handling hundreds of millions of requests daily. Lead architecture, code reviews, releases, on-call incident response, cross-functional delivery, mentorship, and initiatives to improve system quality and KPIs.

Design, build, and maintain data pipelines, data warehouses and lakes; implement data processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead performance engineering, system stability and scalability efforts; partner with cross-functional teams and ensure compliance with controls and service-level expectations.

Design, build, and maintain scalable data pipelines, warehouses and lakes; implement processing and analysis algorithms; support production deployments (DEV->UAT->PROD); ensure data quality, security, and governance; collaborate with data scientists to deploy ML models; lead or mentor team members and influence stakeholders to mitigate risk.

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.

Build data-driven solutions and BI using Python, Power BI, and SQL. Implement DevOps pipelines with GitHub Actions/Azure DevOps, deploy on Azure/AWS, integrate APIs, apply unit testing and automation, and collaborate in Agile/Scrum with global teams. Support solution design, effort estimates, and use ML/DL/LLMs for intelligent features.

Partnering across HR, technology, and third parties, deliver data pipelines, quality remediation, advanced analytics (including ML/AI), and interactive dashboards to enable data-driven HR transformation, governance, and decision-making.