Top Artificial Intelligence Jobs in Mumbai

Join Welo Data’s Belarusian contributor network for potential remote AI projects. Depending on skills and project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and ensure cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Uzbek contributor network to support AI training projects. Potential tasks include annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and ensuring cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join a global AI data contributor network supporting annotation, evaluation, and prompt-creation tasks for AI systems. Work remotely with flexible hours while using Traditional Chinese language and cultural expertise to help create more inclusive technology.

Join Welo Data’s Ukrainian-language AI contributor network for flexible, remote projects involving text, image, and audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be Ukrainian-fluent, English-proficient, detail-oriented, comfortable with digital tools, and based in Poland, Spain, or the Czech Republic.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and ensure cultural and linguistic accuracy. Native or near-native Amharic fluency, English proficiency, digital tool comfort, and strong attention to detail are required. This is a talent network rather than an active job opening, with compensation and project details provided before each assignment.

Join a Lithuanian-language AI contributor network for flexible remote projects involving text, image, and audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.

Join Welo Data’s Danish AI contributor network for potential remote projects involving data annotation, content evaluation, search and chatbot quality assessment, prompt creation, and cultural or linguistic accuracy. Projects vary in length and scope, with compensation and details provided before each assignment. Candidates must have native or near-native Danish fluency, English proficiency, digital tool comfort, and strong attention to detail.

Join Welo Data’s Bengali contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertisement, and chatbot evaluation; prompt creation and testing; and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each project.

Join Welo Data’s remote Odia contributor network to support AI training projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and validate cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s global contributor network for flexible, remote AI projects involving text, image, and audio annotation; search, advertisement, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native Hebrew, English proficiency, digital tool comfort, and strong attention to detail are required.

Join Welo Data’s Nepali contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s contributor network for flexible, remote AI projects involving text, image, or audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Candidates need native or near-native Kannada fluency, English proficiency, digital tool comfort, and strong attention to detail. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s Vietnamese AI contributor network for potential remote projects involving text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in duration and compensation, with details provided before participation.

Join a remote global contributor network supporting AI data projects. Depending on project needs, you may annotate content, evaluate search results or chatbot responses, create prompts, and verify cultural and linguistic accuracy. Projects range from a few days to several weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s Cantonese AI Trainers Network to support AI data annotation, evaluation, and prompt creation. Work remotely with flexible hours while contributing language and cultural expertise to improve AI systems. Applicants should be native or near-native Cantonese speakers living in Hong Kong, Macau, mainland China, or Malaysia, with strong English skills, digital tool proficiency, attention to detail, and curiosity.

Builds agentic AI systems, MCP servers, retrieval systems, and evaluation pipelines for reliable AI-generated code. Responsibilities include supporting large-codebase changes, implementing compile and test gates, applying concurrency and telemetry best practices, improving performance and safety, and collaborating on AI workflow experiments. The role requires Java or Python proficiency, production or developer-facing systems experience, strong communication, and a computer science foundation.

Architect and improve autonomous AI optimization algorithms for a marketing platform. Analyze A/B tests, integrate AI models, develop multi-touch attribution, expand advertising-channel capabilities, reduce inference costs and latency, incorporate customer feedback, and maintain reliable, continuously improving optimization loops.

As an AI/ML Engineer, you will develop machine learning models, collaborate with teams, preprocess data, and optimize ML pipelines. Additionally, you will mentor junior members and contribute to AI/ML strategies.

Design, build, and maintain cloud-based data infrastructure and pipelines; develop, train, and deploy AI/ML models; collaborate with cross-functional teams to productionize models, ensure data quality, scalability, and monitoring.

The Deployment Strategist role focuses on deploying AI agents in the consumer finance industry, managing customer projects from contract to go-live, ensuring operational excellence and continuous system improvement.

Leads AI/ML platform engineering and operational excellence across the organization. Provides technical leadership, architecture guidance, mentoring, tool and cloud-service evaluation, and enablement for AI/ML teams. Oversees model deployment, monitoring, observability, optimization, governance, security, and compliance across cloud-native and containerized environments. Translates business requirements into scalable AI/ML solutions and supports Kubernetes, serverless, MLOps, and generative AI initiatives.

Customer-facing engineer who scopes, prototypes, and deploys production-ready GenAI and agentic AI solutions. Responsibilities include end-to-end delivery, optimization, knowledge capture, and contributing to platform evolution while working onsite with customers.

Build end-to-end frontend and backend features for an AI platform: design scalable APIs, integrate ML models, build user interfaces, improve reliability and performance, and own projects from concept through deployment.

Build and deploy production-ready generative and agentic AI solutions directly with customers. Responsibilities include translating business needs into technical solutions, rapidly prototyping, developing multi-agent systems and RAG architectures, deploying and optimizing scalable systems, troubleshooting performance and reliability issues, documenting field learnings, and contributing code and feedback to internal AI platforms. The role requires customer engagement, technical communication, continuous learning, and willingness to work on customer premises and travel as needed.

Lead the architecture, delivery, and engineering execution of AI and automation products. Manage and mentor software engineers, establish engineering standards, build full-stack applications and AI integrations, design PostgreSQL schemas, implement secure multi-tenant systems, develop automation workflows and evaluation harnesses, and ensure observability, testing, data validation, and reliable third-party API integrations.