Top Artificial Intelligence Jobs in Kolkata

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

Lead and grow the Applied AI team, providing engineering leadership and product guidance for AI agents in physical operations. Drive team performance and collaborate with cross-functional teams to ensure product reliability and user value delivery.

The role involves leading .NET Full Stack development, collaborating across teams, optimizing cloud solutions on Azure, and ensuring code quality and performance.

The role involves collaborating with teams to implement Generative AI models, optimizing algorithms for machine learning systems, and maintaining code quality. It requires proficiency in Python and relevant experience in data-driven projects.

Lead the development and integration of AI capabilities into core applications using .NET Full Stack. Responsibilities include mentoring, designing scalable APIs, collaborating with teams, and ensuring code quality.

Join Welo Data's global contributor network to work on flexible, remote AI projects such as annotation, evaluation, and prompt creation, requiring Albanian fluency.

The AI Process Automation Engineer will design and develop automation tools and integrations, optimizing workflows using AI-driven solutions while collaborating with cross-functional teams.

Lead and mentor a team of engineers, oversee development processes, drive ML initiatives, and collaborate globally on the Domain Search platform.

The Expert AI Software Engineer will leverage expertise in React, TypeScript, and Python to develop AI-driven applications, focusing on backend API design and database management.

The role involves developing AI agents and automation workflows, integrating finance systems, leading technical design reviews, ensuring compliance, mentoring junior staff, and driving business impact through automation.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

The Senior Staff Engineer will architect and implement scalable Generative AI solutions with a focus on prompt engineering, machine learning, and cloud services. Responsibilities include collaborating with cross-functional teams, defining technical requirements, and ensuring best practices in architecture and design.

The Principal Engineer will lead AI-driven development workflows, architect fullstack solutions, mentor engineers, and integrate AI capabilities into applications.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

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.

Lead the architecture and development of Genesis AI for Expedite Commerce. Design and scale cloud-native, serverless architectures using AWS and integrate with Salesforce and enterprise ecosystems, while ensuring scalability and measurable outcomes.

Seeking a Backend Engineer to design and scale microservices and APIs for AI products, collaborating with ML engineers and optimizing performance.

The Gen AI Engineer is responsible for designing and developing AI agent workflows, leading code reviews, integrating with enterprise systems, and ensuring robust, secure implementations.

The role involves developing AI-driven automation solutions, debugging systems, shipping SaaS products, and ensuring security while working remotely.

As an AI Process Automation Engineer, you will design and develop AI-driven automation tools, collaborate with teams to optimize processes, and create integrations and workflows using scripting and automation frameworks.

The AI Support Engineer provides customer support for DataRobot's AI platform, troubleshoots complex issues, collaborates with teams, and documents solutions.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.