Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Engineer – Python & Snowflake based in India.
This role sits at the intersection of data engineering and applied artificial intelligence, focused on building scalable, production-ready AI solutions powered by modern cloud data platforms. You will design and operationalize AI-driven systems that transform large-scale structured and unstructured data into intelligent products and services. The position involves working across Snowflake environments, Python-based backend systems, and advanced AI/ML frameworks, including LLM and Generative AI technologies. You will collaborate closely with data scientists, ML engineers, and software engineers to bring models into production using robust MLOps and LLMOps practices. The role also includes building APIs, microservices, and data pipelines that enable enterprise-wide access to AI capabilities. This is a high-impact opportunity in an innovation-driven environment where experimentation, scalability, and production excellence are key priorities.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Engineer – Python & Snowflake based in India.
This role sits at the intersection of data engineering and applied artificial intelligence, focused on building scalable, production-ready AI solutions powered by modern cloud data platforms. You will design and operationalize AI-driven systems that transform large-scale structured and unstructured data into intelligent products and services. The position involves working across Snowflake environments, Python-based backend systems, and advanced AI/ML frameworks, including LLM and Generative AI technologies. You will collaborate closely with data scientists, ML engineers, and software engineers to bring models into production using robust MLOps and LLMOps practices. The role also includes building APIs, microservices, and data pipelines that enable enterprise-wide access to AI capabilities. This is a high-impact opportunity in an innovation-driven environment where experimentation, scalability, and production excellence are key priorities.
