Top Artificial Intelligence Jobs in Delhi

Seeking a Senior API Developer to design, build, and support scalable APIs. Responsibilities include collaborating with teams, drafting technical requirements, and creating documentation.

The Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.

The Solutions Architect will guide startup customers in developing and scaling Generative AI applications, collaborating closely with various teams and providing technical advice.

The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.

The Revenue Intelligence Analyst will transform revenue performance understanding using AI, automate insights, and improve decision-making processes for sales and marketing teams.

As an AI Engineer, you'll design and implement AI-driven solutions for classifying digital communications, using transformer models and collaborating across teams.

As a Senior AI Engineer II, you will manage the full ML lifecycle, leveraging Computer Vision and NLP to enhance data insights and improve model deployment processes. You'll collaborate with multiple teams to align AI solutions with business objectives and advocate for sustainable practices in machine learning.

Develop and maintain solutions using Microsoft Power Platform, integrating with Dynamics 365, and providing technical support while collaborating with teams to automate business processes.

As an AI DevOps Engineer, you will lead AI/ML solution delivery, oversee CI/CD processes, and mentor engineers while ensuring security and scalability of cloud infrastructures.

As a Senior/Staff AI Researcher, you'll lead research on Generative AI, implement algorithms, design models, and work with cross-functional teams to integrate findings into products.

The role involves reviewing and evaluating content based on guidelines, ensuring quality and consistency across annotations in a data annotation project for AI models.

Evaluate and annotate content according to guidelines, ensuring quality and consistency across tasks for an AI data project.

Review and assess content alignment with guidelines, ensuring quality and consistency in annotations across various types of content as part of a data annotation project.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

The AI Engineer will design and automate business processes using n8n, manage workflows, and collaborate with teams on technical requirements and solutions.

Lead Aftershoot's AI/ML function: define roadmap, drive end-to-end computer vision model development, optimize models for edge/mobile, build and mentor an ML research and engineering team, and translate AI advancements into product features.

Build and deploy autonomous AI agents and internal copilots that research, enrich, reason, and execute GTM workflows. Implement RAG with embeddings and vector DBs, integrate agents with HubSpot and internal systems, automate data pipelines and scraping, and own agent systems end-to-end from prototype to production.