Top Machine Learning Jobs in India

Lead analytics to detect and mitigate digital payment fraud across channels. Analyze large datasets, design experiments, build data-driven rules and automated processes, collaborate on fraud-fighting products, present insights to leadership, monitor trends, and measure financial impacts to reduce losses and improve customer experience.

Lead end-to-end design and delivery of AI/ML and generative-AI solutions for sales and distribution modernization. Build scalable platforms, API-driven integrations, RAG and agentic pipelines, and production MLOps. Ensure performance, security, Responsible AI governance, mentor distributed teams, and collaborate with product, sales, operations, and security to operationalize automation and sales-optimization workflows.

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.

Lead end-to-end data science projects using machine learning and statistical modeling, develop predictive models, mentor junior scientists, and translate business needs into data-driven solutions to improve operations and customer experience.

Join Celonis' 12-month Orbit Graduate Program as an Associate Value Engineer to support sales and customers by uncovering process problems, building proofs and AI prototypes on the Celonis platform, quantifying value, presenting to executives, driving change management, and feeding product insights back to engineering.

The Senior Software Engineer will develop AI agents, design data architectures, and ensure compliance with healthcare regulations while collaborating across teams.

Design and build scalable Amazon Connect digital-channel solutions and GenAI features. Develop backend services and orchestration using Python, AWS Lambda, Step Functions, and API Gateway. Implement GenAI/ML via Bedrock, Lex, and SageMaker, create reusable frameworks for migration from Genesys/LivePerson, and collaborate across product and architecture teams.

Design, build, and deploy advanced ML models (including LLMs) and statistical algorithms to personalize marketing content. Explore text and image opportunities, run A/B and multivariate experiments, collaborate across teams, present to stakeholders, and mentor ML team members.

Serve as the Palo Alto firewall subject-matter expert: audit and validate policies with AlgoSec/Firemon, apply AI/ML analytics for threat detection and automated response, mentor analysts, recommend security products, ensure compliance, and collaborate with leadership across US shift.

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.

Lead design, build, and scale cloud-native, AI-powered backend services and intelligent agents using Python. Drive architecture, mentor engineers, ensure high-quality, secure, and performant SaaS features, and support deployments and occasional off-hours maintenance.

Lead the Journals product area for BlackLine's AI-native finance platform: define roadmap, write PRDs/epics, run discovery, engage customers, partner with Engineering/Design/Data Science, and deliver reusable close services and journal capabilities to production.

Lead a team to develop and apply next-generation defect detection equipment and processes, accelerate technology transfer, mentor staff, analyze experiments and defects, build detection techniques, manage cross-functional projects, define program health metrics, and collaborate globally to improve process yield. Data analysis, ML, and statistical modeling expertise is an advantage.

Designs, develops, tests, and maintains secure, scalable software across the SDLC. Produces architecture artifacts, debugs complex systems, leverages AI-assisted development tools, analyzes large data sets to improve code and architecture, and contributes to engineering communities while promoting secure and resilient application practices.

Design, validate, and monitor fraud strategies using data analytics and ML. Build Looker dashboards and data pipelines, partner with Product/Tech/Operations, test controls, ensure compliance, and balance fraud mitigation with revenue, costs, and customer impact.

Lead design and delivery of production-grade ML and software solutions, partnering with product, engineering, data, and risk. Build, deploy, and monitor generative and other ML models, automate remediation and delivery, evaluate vendors, and mentor engineers to adopt scalable, secure, and responsible ML practices.

Manage risk and controls for wholesale lending product and technology changes. Assess emerging automation (AI/ML/LLMs), perform control reviews, lead remediation, track metrics, and advise product and technology teams to ensure compliant, controlled releases.

Lead design, implementation, and monitoring of control frameworks (CORE); drive automation, AI/ML and analytics for proactive risk identification; own RCSAs and control testing; partner with stakeholders to ensure regulatory compliance, streamline controls, and present findings to senior management.

Design, build, deploy, and maintain AI/ML solutions (including LLMs and Generative AI) for healthcare. Provide technical leadership for chatbots, conversational AI, and NLP systems; ensure responsible AI, security, and operational excellence; mentor team members and collaborate with product and engineering to integrate AI in cloud modernization efforts.

Own and govern data for a business area: define, classify, and document critical data, set content and quality requirements, manage data risks and lifecycle, partner with technology to resolve issues, support analytics, and lead staff to deliver data products.

Design and deliver end-to-end packet core and 5G core solutions, optimize network performance, collaborate with product, R&D and customer teams, lead transformations, perform protocol and data analysis, and support deployment and knowledge transfer.

Design and implement ML solutions (predictive models, recommender systems, anomaly detection, deep learning). Optimize technical requirements, build cloud and on-prem ML pipelines, collaborate with business stakeholders, and mentor junior data scientists.

Manage end-to-end trade processing, ensuring accurate order entry, execution, and settlement. Monitor asset and cash levels, lead a team, implement automation and data-analysis solutions, communicate insights to stakeholders, and drive continuous improvement across trading services.

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.