Top Artificial Intelligence Jobs in Delhi

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

The AI Strategist will lead strategic enterprise accounts, shape AI strategies, engage with C-level executives, and collaborate cross-functionally to drive AI adoption.

The AI Developer will design, train, optimize, and deploy LLM models, focusing on backend and machine learning engineering in offline environments. Responsibilities include fine-tuning models, implementing data workflows, managing inference systems, and building backend services.

Develop and operationalize AI and ML products, focusing on LLM integration and monitoring, and collaborate with engineering teams for production integration.

The Software Tester will work on manual and automation testing, utilizing various tools to ensure product quality and validate AI/ML workflows. Key responsibilities include testing methodologies, defect lifecycle management, and collaboration with development teams.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

The Technical Writer will develop and maintain technical documentation, collaborate with teams, and enhance user experience through clear content on AI/ML products.

The AI Engineer will design and deploy machine learning models, optimize performance, support AI R&D, and ensure data quality for model training.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.

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

The role involves architecting and implementing Generative AI solutions, collaborating with teams to meet business needs, and ensuring production-level code is maintained and scalable.

The role involves designing, implementing, and scaling GenAI solutions, collaborating with teams to translate business needs into technical solutions, and ensuring high-quality code and architecture.

The role involves architecting and implementing Generative AI solutions using LLMs, prompt engineering, Python coding, and managing AI deployments on cloud platforms like Azure and AWS.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

The Principal Engineer will lead AI-driven development workflows, architect fullstack solutions, mentor engineers, and integrate AI capabilities into applications.

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Vice President - AI Solutioning will lead the design and commercialization of AI-driven solutions in contact centers, engaging with clients, developing pricing strategies, and driving transformation.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

Manage and optimize data annotation and machine learning workflows, ensuring high-quality data for AI models, while engaging with clients and providing team training.

As a QA Engineer, you'll ensure quality in an AI-driven real estate platform through testing, collaborating with teams, and promoting QA best practices.

As an AI Research Scientist/Engineer, you'll develop advanced techniques for language models and agents. Responsibilities include novel fine-tuning methods, creating evaluation frameworks, and enhancing reasoning skills for strategic decision-making benchmarks. The role involves collaborating with leading researchers to drive innovations in open-source AI.