Data / ML Automation Intern

Deskripsi pekerjaan

**Duration:** 6 months **Type:** Internship We’re looking for a Data / ML Automation Intern to help build reliable data workflows, reporting tools, and AI-assisted automations for operational teams. You’ll work across data engineering, analytics, machine learning, and software development to turn manual processes into scalable systems. ### Minimum Qualifications - Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, or a related field. - Proficiency in Python and/or TypeScript. - Basic SQL skills, including joins, aggregations, and filtering. - Familiarity with data structures, APIs, Git, and software-development fundamentals. - Interest in data engineering, machine learning, analytics, or automation. - Comfortable working with imperfect data and learning unfamiliar systems. - Able to communicate clearly in English and collaborate with technical and non-technical stakeholders. ### Preferred Qualifications - Experience with GCP and BigQuery. - Familiarity with dbt, Airflow, Databricks, Apache Kafka, or ETL/ELT pipelines. - Exposure to machine learning libraries such as pandas, scikit-learn, PyTorch, or TensorFlow. - Experience using LLM APIs, prompt engineering, agent workflows, or evaluation pipelines. - Familiarity with Docker, Kubernetes, CI/CD, AWS, Terraform, or ArgoCD. - Experience building dashboards with Looker Studio, Metabase, Tableau, Power BI, or similar tools. - Personal projects involving data pipelines, automation, analytics, or machine learning. ### Tech you may work with Python, TypeScript, SQL, GCP, BigQuery, Databricks, dbt, Airflow, Kafka, Docker, Kubernetes, AWS, Terraform, ArgoCD, Git-based CI/CD, REST APIs, and LLM/ML tooling. ### Responsibilities - Build and maintain data pipelines for extracting, transforming, validating, and loading data. - Write SQL queries for analysis, reporting, and data-quality checks. - Develop automation scripts and internal tools using Python and/or TypeScript. - Work with Google Cloud Platform (GCP), especially BigQuery, to manage and query datasets. - Assist with workflow orchestration using tools such as Airflow or similar schedulers. - Help develop, test, and monitor ML or LLM-powered automation workflows. - Integrate internal systems and third-party APIs into data and automation pipelines. - Support dashboarding, operational reporting, and data-quality monitoring. - Document data models, pipeline behavior, and technical decisions. - Participate in code reviews, debugging, and improving reliability of existing workflows.