Top Machine Learning Jobs in India

Designs, implements, and validates machine learning algorithms and models, builds and monitors data pipelines, manages model training and production deployment, authors technical documentation and case studies, contributes to patents and APIs, and designs proofs of concept to inform future product development.

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.

Design technical solutions from business requirements, produce detailed design documents, lead test planning and execution, participate in design and release reviews, support QA/UAT and production readiness, ensure timely deliveries, and provide production support while working independently on an evening 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.

Design, build, test, and deploy scalable backend and AI-powered services using Python and React. Collaborate with product and architecture teams, drive technical decisions, enforce quality/SDLC practices, mentor developers, support releases, and provide occasional off-hours support.

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.

Lead design, build, and maintain secure, scalable software systems; write and review production-quality Python code; drive adoption and safe use of enterprise AI-assisted engineering tools; improve automation, resiliency, and operational stability; evaluate vendors and lead engineering communities of practice within Commercial and Investment Banking.

Lead and defend advanced statistical and machine learning models for credit and operational risk; implement, validate, monitor, and convert Python-based solutions in Big Data/HPC environments; collaborate with regulators/auditors, support production deployments, and drive process improvements across model lifecycle.

Manage Capital Markets data remediation and analytics projects: translate business questions into analytic requirements and user stories, design solutions, validate and reconcile multi-source data, build dashboards and repeatable pipelines, ensure data quality, track milestones, and support stakeholder engagement through project delivery.

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.

Designs, implements, validates, and deploys machine learning models and data pipelines. Develops data ingest/validation/cleaning/monitoring, evaluates vendor solutions, authors technical documentation, and mentors junior engineers.

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.

Lead experience strategy for Expedia Group's protection and FinTech platform, simplify complex coverage and claims, define UX principles and systems, design responsible AI personalization, create high-fidelity prototypes, run mixed-methods research, partner with cross-functional teams, and mentor designers to deliver scalable, compliant, high-trust experiences.

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.

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.

Designs, audits, and optimizes telecom networks across RAN, Transport, Core, OM and Services. Supports pre-sales with technical analysis, proposes scopes and estimates costs, documents service offerings, and applies automation and ML analytics to drive network performance and efficiency while managing stakeholder and financial aspects.

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.