AI/ML Engineer
Teleport (company site, opens in a new tab)2–3 yrsGurugramOn-siteDirect career pageEst. 12–20 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About 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.