Top Artificial Intelligence Jobs in Delhi

The Director/Senior Director of AI will lead a small engineering team, manage AI initiatives, advise on AI strategy, and ensure compliance. Responsibilities include establishing AI practices, scaling the team, and delivering impactful AI solutions across departments.

The Principal AI Researcher will advance Generative AI systems through research, development, and leadership in technical projects, with responsibilities including algorithm design, mentoring, and producing research publications.

The Applied AI Researcher will conduct research to advance AI systems, design and implement methodologies, develop algorithms, and partner with teams for product integration.

Lead the architecture and development of Genesis AI for Expedite Commerce. Design and scale cloud-native, serverless architectures using AWS and integrate with Salesforce and enterprise ecosystems, while ensuring scalability and measurable outcomes.

The Senior Data Scientist will design and optimize large language models and multimodal systems, focusing on retrieval-augmented generation and high-quality search solutions.

The Senior Technical Recruiter will own end-to-end recruitment for AI and ML roles, focusing on technical sourcing and engagement, ensuring a strong candidate experience, and managing offers efficiently.

Seeking a Backend Engineer to design and scale microservices and APIs for AI products, collaborating with ML engineers and optimizing performance.

Seeking a hands-on Data Scientist with 4-10 years in AI/ML for model development and optimization in generative AI. Responsibilities include managing experiments across text, audio, and video modalities, and driving initiatives in a dynamic R&D environment.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

Design and implement advanced AI solutions, collaborate with data scientists, and improve product effectiveness in a team-oriented environment.

Design, develop, and deploy AI solutions. Collaborate with teams to improve user experience and streamline operations. Mentor junior members.

The Senior AI Engineer will design and deploy AI/ML solutions, mentor junior staff, and collaborate on projects across teams.

Develop and deploy AI and ML models, collaborate with teams to design algorithms, and leverage data for insights and solutions.

Seeking a Senior Backend Engineer for AI model serving; responsibilities include backend development, infrastructure optimization, and deploying TTS/NLP models.

As a Machine Learning Engineer, you will develop AI solutions, own AI features, integrate ML into CI/CD, mentor peers, and work on infrastructure challenges.

The Gen AI Engineer is responsible for designing and developing AI agent workflows, leading code reviews, integrating with enterprise systems, and ensuring robust, secure implementations.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

The AI Engineer will develop and deploy AI/ML models and solutions, collaborate with teams, and ensure production readiness while addressing complex business problems.

Lead the development of HighLevel's AI product suite, identifying opportunities, shaping user experiences, and crafting innovative solutions.

Lead the development of AI-powered workflow automation features, overseeing integration of LLMs, prompt engineering, RAG pipelines, and managing EVAL frameworks while mentoring engineers.

Lead the design and development of AI-powered applications, optimize AI models, and develop scalable systems while collaborating with cross-functional teams.

As an AI & Automation Engineer, you'll design and optimize automation workflows, integrate systems, and develop AI tools to enhance operational efficiency.

The role involves leading the implementation of Workday modules and AI applications, ensuring data integrity, compliance, and enhancing HR operations with technology.

The AI Deployment Manager leads implementation and adoption of OpenAI products, focusing on customer satisfaction, training, and technical deployment. They collaborate with various teams to ensure successful deployment and customer outcomes.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.