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.

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.

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

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.

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

Design and deliver high-performance solutions using Java and Microservices. Lead architecture discussions, mentor teams, and drive AI adoption in SDLC.

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

The Senior Manager will oversee multiple agile teams, ensuring effective team performance, strategic planning, and technical leadership in software development, with a focus on AI and cloud technologies.

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

The Senior Software Development Engineer L4 develops high-quality software by collaborating with teams, participating in design and code reviews, and ensuring compliance with security standards. Responsibilities include unit testing, debugging, and documentation, while promoting continuous improvement.

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.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.