Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessNiche GenAI skills reduce applicant pool, but senior AI title and metro demand keep competition medium.
Highly domain-specific GenAI, LLM, and cloud data platform expertise limits cross-industry transferability.
Explicit 6+ years plus mandatory ML/GenAI, cloud, and vector database skills make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and productionize AI and Generative AI capabilities integrated with an enterprise cloud data platform, including LLM applications and Retrieval-Augmented Generation (RAG) solutions.
Enhance and maintain scalable cloud data platform pipelines and services, handling structured, semi-structured, and unstructured data, ensuring performance, security, and governance.
Translate business requirements into scalable AI/data engineering solutions, conduct POCs, and collaborate across technical and business teams to deploy enterprise-grade AI applications.
Minimum Requirements
6+ years overall experience in Data Engineering or Cloud Data Platforms.
Minimum 1+ year hands-on experience with AI, Generative AI, LLM-based applications, or ML engineering.
Strong hands-on skills in Python, SQL, Apache Spark, ETL/ELT, REST APIs, and cloud data platforms (AWS, Azure, or GCP).
Bachelor's or Master's degree in Computer Science, IT, Data Science, AI, Engineering, or related technical discipline.
Ideal Candidate Profile
Experienced in building enterprise-grade Generative AI applications beyond prototypes, including integration with databases, APIs, and enterprise systems.
Proficient in modern cloud data platform architectures, data pipelines, and in implementing RAG solutions over enterprise data.
Skilled in AI orchestration frameworks, responsible AI practices, and infrastructure tools like Docker, Kubernetes, and Terraform to support scalable, secure AI deployments.