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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular ML role in metro Gurgaon with broad GCP and LLM skillset requirements.
Core ML, LLM, and data engineering skills are broadly transferable across industries despite logistics focus.
Explicit 2–3 years plus mandatory production ML, BigQuery and Vertex AI skills increase strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and BigQuery datasets powering AI and Machine Learning products.
Build, deploy, and optimize Machine Learning models and Applied AI solutions including forecasting models, AI agents, RAG systems, and LLM applications.
Collaborate with Product, Data, and Engineering teams to translate business problems into production-grade AI capabilities ensuring data quality, engineering robustness, and continuous model evaluation.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, AI, Data Science, Machine Learning, or related field.
2–3 years of experience building AI, Machine Learning, or data engineering solutions in production environments.
Strong hands-on experience with Python, SQL, Google Cloud ecosystem (BigQuery, BigQuery Views, Scheduled Queries), and exposure to Vertex AI/Agent Platform or similar cloud-native AI platforms.
Practical experience with Machine Learning model development, feature engineering, LLMs, RAG, AI agents, prompt engineering, embeddings, or vector databases.
Ideal Candidate Profile
Candidate comfortable working end-to-end owning AI/ML projects from pipeline to production in a fast-paced startup environment aiming for IPO.
Experienced in integrating advanced AI technologies such as LLMs and RAG into operational products with cross-functional teams.
Skilled in modern software engineering practices including version control (Git), REST APIs, and production-grade deployment on cloud platforms.