Top Machine Learning Jobs in Gurgaon

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.

Develops and integrates radiating components and passive radiation-pattern structures for multiband base-station antennas. Responsibilities include 3D and 2D electromagnetic simulation, prototype RF measurements, performance optimization, troubleshooting, technical documentation, and supporting the product lifecycle through mass production. The role collaborates with international cross-functional teams and requires relocation to Rosenheim, Germany.

Design, develop, and maintain enterprise-grade full-stack/backend systems; ship production-quality code to production; interact with customers and industry leaders to shape product direction; solve complex AI-native problems in the insurance money-movement domain. Requires strong CS fundamentals, analytic problem-solving, ownership mindset, and 4+ years experience.

Develop and maintain full-stack applications using React and Python. Collaborate effectively with the team, communicate clearly, take ownership of responsibilities, and work independently as a self-starter. The role requires working from Gurgaon three days per week and may involve technologies including GCP, machine learning, web services, Git, Power BI, Node.js, Power Apps, and REST services.

Leads investment technology strategy and a global engineering team while remaining hands-on in Java and Python. Oversees full-stack, cloud-native AWS platforms, advanced analytics, data enablement, decision systems, and production Generative AI solutions. Partners with investment, product, analytics, and senior technology stakeholders to deliver strategic initiatives, ensure governance and compliance, mentor teams, and drive high-quality engineering delivery across portfolio management, trading, reporting, and investment workflows.

Designs and oversees enterprise software architecture, development, testing, implementation, and technical documentation. Partners with stakeholders and Product teams to define requirements, evaluate technologies, create scalable solutions, review code, support application integrations, and guide development teams. The role also coordinates technology projects, training, system improvements, security, quality, and extensibility while providing technical support for case and client efforts.

Design, develop, test, deploy, and maintain distributed software services for DP World's blockchain-based supply chain solutions. The role involves applying software engineering best practices, contributing to technical direction and feature roadmaps, ensuring application security, optimizing distributed systems, and working in an Agile/DevOps environment. Engineers may also help shape the team and explore machine learning, cloud, database, and mapping technologies.

Develop and ship Yahoo Mail mobile features for Android, owning projects from technical design through deployment, monitoring, and improvement. Build scalable solutions using Kotlin, Java, Android frameworks, Jetpack Compose, and React Native; integrate APIs; address performance, reliability, and usability challenges; conduct code reviews; collaborate cross-functionally; mentor teammates; and use AI development tools to improve engineering productivity while maintaining quality and security.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Design, build, test, deploy, and maintain innovative distributed software systems. Lead technical direction and feature roadmap for a critical international expansion function, optimize service performance and security, and operate in an agile environment. The role includes significant autonomy, cross-functional communication, and opportunities to hire and shape the engineering team. Candidates should have strong computer science fundamentals, modern software development experience, and familiarity with cloud, databases, frontend frameworks, machine learning, and DevOps technologies.

Leads enterprise architecture for scalable, multi-tenant SaaS systems and cloud-native platforms. Owns AWS architecture, distributed data pipelines, cost optimization, security, governance, and architectural standards. Drives GenAI and machine learning adoption across the software development lifecycle, builds self-service capabilities, guides engineering teams, conducts prototypes, and leads architecture reviews. Requires deep hands-on cloud, distributed systems, coding, infrastructure automation, AI/ML, and strategic technology leadership experience.

Develops reactor, kinetic, process, and analytics models for refinery and petrochemical technologies. Analyzes plant data, forecasts yields, monitors catalyst performance, validates models, and supports optimization and commercialization. Collaborates with R&D, engineering, software, technical services, sales, and customers to define KPIs and deliver modeling solutions. Requires strong reaction engineering, process simulation, statistical analysis, programming, and refinery operations expertise.

Develops reactor, kinetic, process, and analytics models for refinery and petrochemical technologies. Responsibilities include yield estimation, catalyst-life prediction, process optimization, plant-data analysis, model validation, KPI development, and technical collaboration with R&D, engineering, software, technical services, and customers. The role requires strong reaction engineering, process simulation, statistics, programming, numerical methods, and refinery operations expertise, with opportunities to advance modeling techniques and digital solutions.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Lead technical direction and delivery for a core NIRA backend domain: design and ship high-volume web APIs, own architecture for distributed and queue-based systems, drive complex initiatives, mentor engineers, lead incident response, champion AI dev tools, and align cross-functionally to simplify systems and influence roadmap.

Develop and maintain scalable Python backend applications using FastAPI, Django, APIs, microservices, databases, asynchronous processing, and event-driven architectures. Design efficient solutions, optimize performance, write automated tests, implement secure and maintainable code, and contribute to CI/CD deployments. Collaborate with product and engineering teams, participate in requirements gathering, analyze risks, estimate work, improve coding standards, and guide team members.

Own and improve the Command|Alert alerting platform, including rule evaluation, anomaly detection, event correlation, reliable Kafka and OpenSearch pipelines, and downstream notifications. Convert security and network telemetry into usable topologies and dependency maps, support LLM-based alert generation, resolve production issues, lead reliability improvements, deliver independent projects, and mentor engineers while shaping technical direction.

Leads the architecture, development, testing, deployment, governance, support, and optimization of enterprise RPA, RDA, workflow, and intelligent automation solutions. Partners with finance, IT, process excellence, engineering, project management, and business stakeholders to translate needs into scalable solutions. Provides technical leadership, coaching, documentation, standards, security compliance, and stakeholder communications while evaluating emerging automation, AI, cloud, and digital transformation technologies.

Leads the architecture, development, testing, deployment, support, and optimization of enterprise RPA, RDA, workflow, and intelligent automation solutions. Partners with finance, IT, process excellence, engineering, project teams, and business stakeholders to define requirements and deliver scalable solutions. Establishes governance, documentation, security, and lifecycle standards; mentors automation professionals; evaluates emerging AI and cloud technologies; and supports cross-functional stakeholder communication across APAC and global teams.

Leads the creation and scaling of AmeriSave’s India technology organization, including recruiting, engineering culture, architecture, software platforms, cloud infrastructure, AI initiatives, security, budgets, and global collaboration. The CTO partners with U.S. executives, oversees distributed engineering teams, drives delivery and operational excellence, and aligns technology strategy with business goals. The role requires extensive executive leadership, India team-building experience, software engineering depth, cloud expertise, and experience with AI and emerging technologies.

Design and optimize ultra-low-latency trading systems, including real-time execution and risk infrastructure. Responsibilities include eliminating performance bottlenecks across operating systems, kernels, networking, CPU architecture, algorithms, and data structures. Collaborate with engineers and quantitative professionals to build scalable components. The role may also involve developing statistical and machine-learning-based trading strategies, implementing optimized code, and productionizing predictive models.

Senior ServiceNow IRM engineer responsible for designing, building, testing, and deploying ServiceNow IRM solutions. Duties include configuration, scripting, integrations, code reviews, documentation, unit/integration/UAT testing, Agile participation, and preparing production configurations with release/train engineers.

Lead backend architecture and engineering: design scalable APIs and services, mentor engineers, write complex code, enforce best practices for databases, testing, observability, and integrate ML/LLM workloads.

Lead an RPA team to design, develop, test, deploy, and maintain scalable automation bots (UiPath/AA/Blue Prism). Collaborate with stakeholders to assess processes, manage projects, mentor developers, troubleshoot bots, and report progress to senior management.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.