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.

The role involves building and deploying AI applications on Azure, focusing on data pipelines, model integration, and optimizing deployments for performance and cost efficiency.

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 Tech Lead will design, develop, and implement AI solutions, focusing on LLM and RAG systems, while collaborating with engineers and product managers to innovate and optimize AI workflows.

Develop and maintain scalable APIs and Kubernetes environments for machine learning models. Collaborate with teams to deploy and support AI solutions, ensuring stability and security through rigorous testing.

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.

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.

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

The engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

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.

Develop and manage AI-enabled full-stack applications, integrating AI models and APIs, while collaborating with teams and researching new technologies.

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

The AI/ML Engineer designs and deploys machine learning models, collaborates across teams, and translates business needs into AI solutions.

The AI/ML Engineer designs, develops, and deploys machine learning models, optimizing performance while collaborating across teams for AI-driven solutions.

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.

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

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.