Top Artificial Intelligence Jobs in Hyderabad

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

Lead the team in scaling generative AI systems, mentor GenAI engineers, and drive the adoption of multimodal AI applications across business verticals.

Develop and maintain scalable APIs and Kubernetes environments for machine learning models. Ensure AI system reliability and collaborate with ML engineers to optimize deployments.

Design, develop, and deploy AI solutions, focusing on NLP and LLMs, while collaborating with teams and maintaining documentation.

The AWS Solutions Architect- AI/ML will design and implement cloud solutions, focusing on modernization, data engineering, and AI/ML integration to support client goals.

As an AI Video Editor, you will create compelling AI-driven video content and character narratives using various generative AI tools and software.

The Senior AI Engineer will develop and maintain software solutions in a SaaS environment for life sciences, focusing on AI-powered applications and architectural decisions for data management and analytics.

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 Expert AI Software Engineer will leverage expertise in React, TypeScript, and Python to develop AI-driven applications, focusing on backend API design and database management.

Seeking a senior AI/ML engineer with 6+ years experience to design and scale AI/ML platforms, innovate, mentor, and solve complex data challenges.

The Generative AI Tester will validate AI-driven features, ensure model reliability, and drive end-to-end testing workflows in enterprise applications.

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 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 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.

This role focuses on implementing and optimizing AI technologies in marketing, including campaign automation, predictive analytics, and process orchestration.

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

Own the architecture, design, and deployment of AI platforms, integrating LLMs and ensuring compliance. Collaborate with teams to refine AI solutions for enterprise needs.

As an Enterprise AI Analyst, you will analyze data and collaborate with engineers to enhance AI systems and ensure their optimal performance in real-world applications.

Lead and develop teams in delivering Microsoft Biz Apps and AI solutions, promote client-centric solutions, and enhance team performance through talent management and AI integration.

We seek a Full Stack Web Developer with 8+ years of experience in JavaScript and Python, focusing on backend and frontend development, API creation, and CRM integration in a fully remote role.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.