AI/ML Engineer

Teleport

. Design, develop, and maintain scalable data pipelines, BigQuery datasets, SQL transformations, and scheduled workflows powering Teleport's AI and Machine Learning products.

Posted 9/25/2026full-timeGurugram • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data pipelines and Machine Learning models, with a strong focus on Python, SQL, and the Google Cloud ecosystem. Proven ability to collaborate across teams to translate business needs into effective AI solutions while ensuring operational excellence.

Highest-signal resume keywords

Python ProgrammingSQL TransformationsGoogle Cloud EcosystemMachine Learning Model DevelopmentData Engineering Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignMachine LearningFeature EngineeringData TransformationApplied AI SolutionsLarge Language ModelsRetrieval-Augmented GenerationPrompt EngineeringEmbeddingsVector Databases

Soft Skills

CollaborationDecision-MakingDocumentation

Tools & Technologies

BigQueryVertex AICloud RunGitREST APIs

Industry Keywords

Artificial IntelligenceData ScienceMachine LearningProduction EnvironmentsModern Software Engineering

Tech Stack

Tools & technologies

BigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines, BigQuery datasets, SQL transformations, and scheduled workflows powering Teleport's AI and Machine Learning products.
Build, deploy, and optimize Machine Learning models and Applied AI solutions.
Collaborate with senior engineers to productionize forecasting models, AI agents, Retrieval-Augmented Generation (RAG) systems, and Large Language Model (LLM) applications.
Work with Product, Data, and Engineering teams to translate business problems into reliable, production-grade AI capabilities.
Ensure high-quality data, robust engineering practices, continuous model evaluation, and operational excellence.
Own scope end-to-end, make fast data-informed decisions, and maintain reporting, documentation, and processes.

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field, with 2–3 years of experience building AI, Machine Learning, or data engineering solutions in production environments.
Strong hands-on experience with Python, SQL, and the Google Cloud ecosystem, including BigQuery, BigQuery Views, Scheduled Queries, and exposure to Vertex AI/Agent Platform, Gemini APIs, Cloud Run, or similar cloud-native AI platforms.
Practical experience developing Machine Learning models, feature engineering, data transformation pipelines, and working with modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, embeddings, or vector databases.
Experience with Git, REST APIs, and modern software engineering best practices is highly preferred.