Top Machine Learning Jobs in Gurgaon

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Manage and grow a team responsible for observability, monitoring, and integrations across monetization systems. Improve reliability and data quality for billing, provisioning, subscriptions, and revenue-impacting workflows; define telemetry and integration strategies; implement anomaly detection and incident management; and partner with cross-functional stakeholders to ensure reliable customer and financial workflows.

Lead design and engineering of customer-centric, secure, high-performance cloud-native and containerized banking systems. Define architecture, roadmaps, and governance; coordinate multiple feature teams; champion DevSecOps and secure coding; drive automation, resilience, scalability, and adoption of AI/ML solutions across the enterprise.

Lead design and delivery of secure, resilient, cloud-native banking software. Define architecture, roadmaps, and governance; embed DevSecOps practices; drive automation, scalability, performance, and reusability; collaborate with feature teams and stakeholders to produce high-quality, compliant solutions.

Provide production management, application support, and environment/build/deployment services across the domain. Collaborate with feature teams to enable CI/CD, ensure production quality, diagnose incidents, and drive automation and continuous improvement to maintain platform resilience.

Design, implement, test, deploy, and maintain scalable microservice-based backend systems for supply chain and logistics. Ensure high-quality code, participate in architecture and agile development, mentor juniors, and collaborate with cross-functional teams and external vendors.

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

Lead design, develop, test and support SAP ABAP solutions, deliver RICEFW objects, integrate SAP with third-party systems, optimize performance, produce technical documentation, mentor junior developers, and help adopt AI/automation in the SAP ecosystem.

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.

The ROR Developer will focus on software engineering practices, design, data structures, algorithms, and deliver projects with responsibility, while keeping pace with industry trends.

As a Junior-Midlevel Developer, you will develop, maintain, and enhance an AI-powered education platform, collaborating with teams to build software and optimize performance.

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.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

As a Forward Deployed Engineer, you'll provide technical expertise, help clients deploy Qdrant, and lead architectural reviews for scalable search solutions.

The Principal Architect leads the technical architecture for enterprise programs, ensuring scalable solutions and driving technology best practices while collaborating with leadership on innovative strategies.

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

Lead a team of AI QA Engineers, driving QA strategy for ML models, develop automated test frameworks, validate APIs, and ensure high quality in AI solutions.

Responsible for the end-to-end design, development, and deployment of Machine Learning models, collaborating with teams, and managing deployment lifecycles.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.