Top Tech Jobs & Startup Jobs in Mumbai

The Data Platform Engineer will design and build Snowflake pipelines, collaborate with integration architects, ensure data quality, and support GenAI initiatives.

As an AI / ML Engineer, you will develop applications leveraging AI tools and cloud services, focusing on quality pipelines and integrating generative AI models.

The AI/ML Engineer will develop AI systems leveraging LLM models, build RAG pipelines, integrate vector databases, and deploy scalable services. They will work on end-to-end solutions, optimizing AI models, and monitor performance in production environments.

Develop end-to-end AI systems using LLMs, design RAG pipelines, integrate vector databases, deploy AI services, and optimize performance.

The AI/ML Engineer will develop end-to-end AI systems, design pipelines, integrate AI APIs, ensure production quality, and perform rapid prototyping.

Design, build, and configure applications based on business requirements while collaborating with stakeholders and improving development practices.

The Data Platform Engineer will design, develop, and deploy solutions using AI frameworks, manage teams, and ensure successful project outcomes.

As an AI / ML Engineer, you will develop applications using AI tools and Cloud AI services, focusing on Generative AI, deep learning, and model optimization.

The Full Stack Engineer is responsible for end-to-end development, implementing secure RESTful APIs, building responsive user interfaces, and collaborating in an Agile environment while utilizing .NET and modern frontend technologies.

The Custom Software Engineer designs and configures applications to meet business needs, collaborates with teams, and supports application performance improvements.