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.

The AI Solutions Senior Consultant manages end-to-end AI solution delivery, client relationships, business development, and mentorship of junior consultants, driving innovative AI solutions aligned to business needs.

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.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

As an Enterprise AI Analyst, you'll design AI solutions, collaborate with clients, and oversee model development while providing support for deployment and optimization.

Speechify is seeking a Senior Backend Engineer to ensure scalable infrastructure, optimize product flows, and implement state-of-the-art voice cloning and text-to-speech solutions. The role requires backend development expertise, cloud knowledge, and experience with containerized deployments.

The AI Engineer will optimize and maintain AI-driven services on the Sootra platform, focusing on LLM/VLM pipelines, API management, and production stability.

The Billing Associate will manage outbound insurance tasks, ensure AI performance, and support insurance setups while collaborating on product development.

Edit videos for social platforms utilizing AI tools and VFX. Collaborate with creative directors on projects, integrating AI characters and maintaining brand consistency across edits.

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

As an AI Engineer at Crop.photo, you'll build AI features for image generation, design scalable APIs, integrate models into production, and ensure high-quality visual outputs without relying on formal handoffs.

The role involves designing advanced AI-driven solutions, mentoring teams, collaborating on architecture, and building intelligent AI agents using various technologies.

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

The Principal AI Architect leads AI strategy, engages clients in workshops, designs AI solutions, and ensures best practices for AI implementation.

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 Senior AI/ML Engineer will lead the development of enterprise AI solutions, owning architecture and delivery, mentoring engineers, and ensuring compliance with responsible AI practices.

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 role involves delivering AI solutions, developing models, supporting Agile practices, collaborating with teams, and focusing on execution and delivery.

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

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.

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

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