Top Artificial Intelligence Jobs in Pune

Annotate and quality-review multimedia (video, images, metadata) per detailed guidelines, perform self-QA, flag ambiguous cases, participate in calibration, track recurring issues, support sampling/second-pass audits, and coordinate with stakeholders to meet throughput and quality targets using Konkani language skills.

Annotate and review multimedia data (video, images, metadata) following detailed labeling guidelines. Perform self-QA, participate in calibration sessions, track recurring issues, support quality workflows, and coordinate with stakeholders. Maintain high accuracy and consistency while documenting ambiguous cases and contributing to guideline improvements. Work is remote and requires Kashmiri language fluency.

Annotate and quality-review multimedia data (video, images, metadata) using detailed labeling guidelines. Perform self-QA, flag ambiguous cases, participate in calibration, track recurring issues, support sampling and audits, and coordinate with stakeholders to meet throughput and quality targets. Use Manipuri language for documentation and communication.

Annotate and review multimedia (video, images, metadata) using defined labeling rules, perform self-QA, participate in calibration, document edge cases, and support quality workflows. Requires strong Dogri communication and consistent, high-volume accuracy.

Annotate and quality-review multimedia data (video, images, metadata) using detailed labeling guidelines. Perform self-QA, participate in calibration sessions, flag ambiguous cases, track recurring issues, support sampling/second-pass audits, and coordinate with stakeholders to meet throughput and quality targets while documenting guideline improvements.

Annotate and quality-review multimedia data (video, images, metadata) using detailed labeling guidelines. Perform self-QA, second-pass reviews, participate in calibration sessions, document recurring issues, and coordinate with stakeholders to meet throughput and quality targets. Work is remote and requires Maithili language fluency.

Annotate and quality-review multimedia (video, images, metadata) using detailed labeling rules. Perform self-QA, participate in calibration sessions, document edge cases, track recurring issues, support sampling and audits, and coordinate with stakeholders to meet throughput and quality targets.

Lead product strategy and execution for internal data products and an LLM-powered analytics assistant. Own forecasting, capital markets, and human-in-the-loop platforms; define roadmaps, partner with engineering and analytics, enable semantic layer APIs, drive adoption, and measure self-service and response quality.

Lead QA for AI products: define QA strategy, architect large-scale reusable automation frameworks, design tests for RAG, hallucination, drift, and bias, influence cross-functional teams, coach and upskill engineers, and own the AI verticals quality roadmap to improve scalability and reliability.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

The AI/ML Engineer II is responsible for designing, developing, and deploying AI/ML solutions. They work closely with product management and engineering teams to translate business problems into scalable AI systems, focusing on model optimization, cloud deployment, and cross-functional collaboration.

The Data & AI Operations Specialist leads technical operations for AI infrastructure, manages data pipelines, and oversees MLOps across multi-cloud environments, ensuring compliance and performance optimization.

The role seeks an AI Lead to drive Generative AI and Computer Vision projects, focusing on precise visual transformations and model training while mentoring engineering teams in best practices.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

The AI/ML Engineer II will design, develop, and deploy scalable AI/ML solutions, optimize model performance, and integrate AI into products. The role requires collaboration with various teams and knowledge in deploying solutions to cloud environments.

As Marketing AI and Automations Lead, you will manage automation architecture, integrate platforms, and develop AI-driven workflows to optimize marketing processes and strategies.

Lead a team of multimodal annotators and reviewers to meet throughput and quality targets; own guidelines, calibration, quality workflows, training, reporting, and stakeholder coordination for multimedia labeling projects.

Architect and deliver enterprise-scale agentic and generative AI solutions, including multi-agent orchestration, RAG/GraphRAG knowledge systems, memory and context management, governance, observability, MLOps/AgentOps, cloud-native integration, and mentoring/consulting for AI transformation and presales.

Build and deploy AI agents, automations, and reusable assets to accelerate Professional Services implementations. Design integrations and retrieval/RAG systems, embed AI into product workflows, optimize agent performance, and support delivery teams with documentation, tooling, and cross-functional collaboration to scale AI-enabled implementations for government customers.

Negotiate, redline, and finalize customer and partner contracts (BAAs, DPAs, NDAs, MSAs, SOWs); draft reusable templates; advise on GDPR, CCPA/CPRA and SCCs; ensure contract terms align with SOC 2 and ISO 27001; support Sales and Compliance, accelerate deal velocity with fast redlines and customer calls; build contract processes and workflows at a fast-growing AI startup. Contractor role with Pacific Time availability required.

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

Create high-quality video content and integrate AI tools into production workflows, combining storytelling and video craft to enhance cinematic quality.

Lead the creative development of AI-assisted video content, overseeing multidisciplinary teams, driving innovation, and integrating Generative AI into video production workflows.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.