Top Artificial Intelligence Jobs in Pune

The AI Data Expert position involves evaluating AI outputs, generating content, and providing annotations to enhance AI training, all while considering cultural context. This role requires detail-oriented analysis, native language fluency, and strong English command.

The Project Manager will oversee multilingual data projects, manage resources, ensure quality, and coordinate with stakeholders to optimize AI model evaluations.

The role involves evaluating AI outputs, generating content, providing annotations, and ensuring quality through cultural and contextual awareness.

The role involves reviewing AI outputs, generating content, ensuring cultural accuracy, and providing structured feedback to improve AI models.

As an AI Data Expert, you'll evaluate AI-generated outputs, review text, analyze multimedia, and provide structured feedback based on cultural standards.

Review and evaluate AI-generated outputs, provide annotations, and contribute cultural insights to improve AI training. Requires detail-oriented judgment and strong language skills.

Lead the design and delivery of SAP Finance solutions, driving process excellence and innovation in a global organization, while mentoring junior team members.

The role involves building AI-native products using Javascript, Typescript, and core OOP languages, with responsibilities including writing maintainable code, deploying applications, and collaborating with teams to improve learning technologies.

The role involves developing data pipelines, managing data integration, optimizing SQL queries, deploying AI systems, and maintaining data quality and support activities.

The role involves designing and building AI-powered applications and search experiences using Microsoft's AI ecosystem, requiring extensive experience in Azure services and AI engineering.

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 role focuses on designing AI-driven workflows, developing user-friendly interfaces for complex backend logic, and enhancing UI/UX with real-time interactions and performance optimizations.

Build and scale Snowflake-native AI execution layers and orchestrated agent workflows. Implement RAG, embedding pipelines, vector retrieval, context-routing, monitoring, and integrations with enterprise data using SQL, Python, and DBT. Ensure scalable, observable, and governed AI systems across the organization.

The role involves building scalable RAG solutions, optimizing workflows, collaborating on product features, and ensuring software quality. Requires expertise in AI applications and Python.

Lead complex AI model training, evaluation, and optimization efforts. Drive efficiency in LLM lifecycle, ensuring high-quality, deployable models.

Seeking a Senior Data Scientist skilled in GenAI/LLMs to design and implement solutions for enterprise, conducting research and mentoring others.

As AI/Automation Ops Lead, ensure efficient operations of data pipelines, manage outages, oversee AI application performance, and mentor a team while maintaining 24/7 support.

Lead engineering teams to deliver high-quality AI solutions, oversee project timelines, mentor team members, optimize processes, and align technical decisions with business objectives.

Design and implement AI-enabled PLM architectures, lead integration with ERP and manufacturing systems, and ensure effective PLM processes and 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.

Design, build, and own AI-powered full-stack platforms and features from discovery through production. Embed AI into products and workflows, ensure reliability and security, support incidents, and mentor teammates.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

The Solutions Architect will guide technical evaluations in Analytics and AI, advocate for customers, and design architectures integrating Databricks with big data and cloud technologies.