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.

Design, build, test, deploy, and maintain secure, scalable software and microservices across the full development lifecycle. Modernize infrastructure on Google Cloud, develop Java and Spring Boot APIs, improve engineering automation, optimize delivery pipelines, and apply AI and machine learning techniques. Translate market risk requirements involving market data, VaR calculations, and time series data into robust technical solutions while collaborating with engineers, architects, and business analysts.

Design, develop, test, and implement resilient software across the full lifecycle in a permanent feature team. Apply Agile practices, intentional architecture, prototyping, and automated build, testing, and deployment. The role requires extensive Google Cloud Platform and Java experience, expertise in Spring Boot, microservices, REST APIs, cloud modernization, and enterprise architecture. It also involves applying AI and machine learning to engineering workflows and translating market risk requirements into scalable technical solutions.

Architect and deliver secure, reliable, high-performance cloud-native solutions using Azure PaaS and AI services. Provide architectural reviews, technical assessments, troubleshooting, and proactive guidance for mission-critical customers. Identify design and operational risks, collaborate with engineering and support teams, create reusable tools and documentation, and advise customer architects on long-term resilience and innovation. Mentor others and lead cross-functional initiatives that scale customer success.

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.

SLB seeks graduate-level digital technology professionals for roles spanning artificial intelligence, software engineering, data engineering and science, machine learning, IIoT, high-performance computing, QA, software security, and UX design. Employees collaborate across disciplines in global technology centers, leveraging cloud computing, advanced data ecosystems, connectivity, and emerging technologies to develop solutions for the energy industry. The program includes training and professional development.

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.

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.

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.

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.

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.

Lead an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.

As a Demo Engineer, you support pre-sales by designing AI-driven demos and proof of concepts, collaborating closely with teams to showcase Cresta's capabilities.

Create and review realistic, domain-specific robotics tasks in Hindi; apply scoring rubrics; evaluate AI and human responses for accuracy, regulatory alignment, and professional quality; and produce gold-standard solutions and expert feedback.