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.

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.

Designs and develops content governance platforms, anti-abuse tools, rule engines, and scalable governance pipelines. Integrates recommendation systems, implements content takedown policies, and builds capabilities for content review, risk detection, policy enforcement, and effectiveness analysis. The role addresses spam, fraud, traffic diversion, low-quality content, and black- or gray-market activity while collaborating with product, operations, algorithm, and business teams.

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.

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.

Develops reactor, kinetic, process, and analytics models for refinery and petrochemical technologies. Responsibilities include yield estimation, plant data analysis, catalyst lifecycle prediction, process optimization, model validation, KPI development, and technical collaboration with R&D, engineering, software, and customer teams. Requires expertise in reaction engineering, process simulation, statistical analysis, numerical methods, and programming.

Develops reactor, kinetic, process, and analytics models for refinery and petrochemical technologies. Responsibilities include yield estimation, plant data analysis, catalyst life prediction, forecasting, KPI development, model validation, process optimization, and technical collaboration with R&D, engineering, software, technical services, and customers. Requires expertise in reaction engineering, kinetics, process simulation, statistical analysis, numerical methods, and programming.

Leads investment technology strategy and global engineering teams while remaining hands-on in Java and Python. Oversees AWS cloud platforms, full-stack development, data enablement, advanced analytics, and production Generative AI solutions for investment workflows. Translates investment-domain needs into scalable decision systems, reporting, and portfolio analytics. The role manages strategic initiatives, stakeholder alignment, governance, compliance, delivery, recruitment, mentoring, and organizational change across a matrixed environment.

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.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Seeking a Senior Engineer with Machine Learning expertise to innovate solutions, guide teams, and tackle complex client challenges, enhancing overall outcomes.

As a Staff Engineer in Machine Learning, you will lead technical direction, drive product development, and support team growth through advanced solutions.

Design, develop, and execute end-to-end tests (including automated solutions using Python and Behave) for Order Entry and Market Data systems. Lead release validation, analyze test results, track defects, maintain test environments, and collaborate with developers, QA, and support teams to ensure high-quality production releases.

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 engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

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.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

Support design, integration, verification, and testing of hardware, software, and systems. Develop and execute test plans and automated scripts, report defects, build AI-assisted verification frameworks, create data pipelines and dashboards, and maintain test environments for optical networking platforms.

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.

Lead architecture and development of the core native iOS SDK and related apps. Own feature delivery from design to public release, write high-quality tested code, collaborate with R&D and ML teams, support customers to resolve issues, and manage priorities across large-scale, distributed projects.

Lead full-stack development across architecture, design, implementation, testing, deployment and support. Build scalable APIs and front-end apps, lead AI agentic system design, drive SDLC and TDD, mentor engineers, troubleshoot production, and collaborate with product and stakeholders to deliver enterprise-grade features.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

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.