Top Artificial Intelligence Jobs in Hyderabad

Develop and optimize AI-driven solutions using AI frameworks, cloud platforms, and large language models, integrating AI into business processes.

The Senior Python Developer will build automated Databricks environments for AI/ML workloads and develop a Python-based monitoring and alerting ecosystem for AWS resources.

Build, deploy, and operate production AI platforms: productionize LLM/SLM APIs, fine-tune and serve Hugging Face models, containerize services, manage cloud deployments, CI/CD, monitoring, scaling, and cost optimization.

The AI Implementation Specialist will design, build, and optimize lead generation systems utilizing AI and marketing automation tools to enhance conversion rates and customer targeting.

The Head of AI & Software leads software development across 50+ projects, manages teams, ensures engineering standards, and collaborates with business stakeholders.

Lead the AI strategy and transformation to improve customer experience. Drive product development, collaborate with global teams, and manage AI initiatives.

The AI Architect will lead AI solution design and implementation, engage with stakeholders, and ensure governance and delivery oversight of AI systems.

The AI Architect is responsible for translating business needs into AI-driven solutions, designing end-to-end systems, collaborating with stakeholders, ensuring governance, and overseeing delivery of AI projects.

As a Senior/Staff AI Researcher, you'll lead research on Generative AI, implement algorithms, design models, and work with cross-functional teams to integrate findings into products.

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.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

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

The AI Engineer will design and develop applications using LLMs, implement multi-agent workflows, optimize RAG pipelines, and contribute to full-stack development, collaborating with teams across regions.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

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

The Ecosystem Growth Manager will drive growth by onboarding GPU providers, attracting AI developers, and establishing partnerships for AIVM's decentralized cloud infrastructure.

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 Solutions Engineer will develop AI agents, configure automations, lead technical onboarding for enterprise customers, and deliver BI reports to enhance customer success.

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

Design and implement scalable AI/ML architectures using Databricks. Collaborate with teams to drive AI transformation, define use cases, and establish best practices.

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 Data and AI Engineering Studio, overseeing technical vision, mentoring teams, delivering solutions, and engaging in business development and innovation.