Top Machine Learning Jobs in Gurgaon

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.

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.

Develop and deploy full stack applications using .NET and Angular. Design scalable architectures, optimize databases, and implement cloud solutions.

The Lead Data Engineer will manage a team, develop data pipelines, interpret project requirements, and advocate for data architecture solutions, while fostering team growth and collaboration.

Design and implement automation solutions using Microsoft Copilot and Power Platform, optimize workflows, collaborate with stakeholders, and ensure compliance and governance.

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.

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.

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

The Applications Support Technology Lead Analyst partners with technology teams for system enhancements, analyzes existing systems, provides tech expertise, influences decisions, and ensures compliance while coaching junior analysts.

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.

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

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.