Top Artificial Intelligence Jobs in Chennai

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

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

Lead AI growth strategy to drive adoption, engagement, and revenue. Own AI adoption funnels, onboarding, pricing, experiments, analytics, launches, and cross-functional GTM to scale AI products across millions of businesses.

Lead the AI platform strategy and execution: define reusable AI primitives, own model orchestration, data/context pipelines, evaluation, observability, and governance. Enable internal teams to ship AI features faster and safely, measure adoption and reliability, and communicate strategy to stakeholders.

Lead design and delivery of generative AI solutions: translate client needs into architectures, define technologies and NFRs, implement RAG and fine-tuning approaches, run POCs, review designs, and ensure production deployments and MLOps automation.

Design and build AI data architecture and APIs with Python/Django; manage SQL, MongoDB and Pinecone vector databases; integrate and optimize AI models, context/prompt builders; collaborate with leadership and engineers; research AI/data engineering advancements.

Lead AI strategy and implementation for content processing at scale: research and prototype LLM and CV solutions, design robust, high-throughput AI services and pipelines, solve production ML challenges (latency, variance, observability), and mentor engineering teams to deliver mission-critical AI features.

As a Senior AI Engineer, you will lead machine learning initiatives from research to production, focusing on insights from unstructured data using Computer Vision and NLP techniques.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

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

Lead enterprise clients to improve AI search visibility through analysis, custom GEO playbooks, C-suite presentations, prompt testing, monthly reporting, and cross-functional product collaboration to drive platform adoption and measurable visibility gains.

Lead product strategy and execution for a Voice AI platform, define roadmaps, gather requirements, set KPIs, prototype with LLMs and speech tech, collaborate with engineering and data science, and drive product launches and continuous improvement for drive-thru automation at scale.

Prototype bold visual directions and create AI styles, images, and videos. Develop and refine prompts for AI design tools, iterate quickly on experiments, and collaborate with creatives to deliver impactful AI-driven design assets for millions of users.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

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.

Seeking a hands-on Data Scientist with 4-10 years in AI/ML for model development and optimization in generative AI. Responsibilities include managing experiments across text, audio, and video modalities, and driving initiatives in a dynamic R&D environment.

Design, build, and operate scalable, secure cloud infrastructure (primarily GCP) with AI-enabled observability and automation. Optimize CI/CD pipelines, implement IaC (Terraform), support AI/ML platforms, troubleshoot distributed systems, and provide 24x7 on-call incident response. Mentor junior engineers and enforce SDLC, security, and compliance standards.

Design, develop, fine-tune, and deploy large-scale generative AI solutions (LLMs, RAG, AI agents). Build end-to-end AI pipelines, integrate via APIs/microservices, optimize model performance and cost on cloud, and ensure security, governance, and responsible AI practices.

Design, train, optimize, and deploy production-ready computer vision models for image and video analytics. Prepare datasets, integrate models with platforms, optimize for GPU and inference speed, and collaborate with cross-functional teams while maintaining code quality and documentation.

The Senior SEO Manager will drive ClickUp's AI search strategy, analyze AI visibility, and collaborate on improving search performance across various platforms, ensuring brand clarity and impact in modern discovery systems.

Lead the architecture and development of AI-driven scheduling systems, mentoring engineers and creating optimization models for resource management.

The Lead Engineer will drive CRM development with AI tools, manage integrations, and enhance both front and backend systems for scalability and performance.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.