Data Pipeline Development

• Assist in designing, building, and maintaining robust and scalable ETL/ELT data pipelines to ingest data from various sources into our data lake and data warehouse.

Data Management & Processing

• Write scripts for data cleaning, transformation, and aggregation to prepare datasets for analytics and machine learning applications.

Cloud Infrastructure

• Work with cloud services to manage data storage, configure compute resources, and deploy applications.

AI/ML Model Support

• Collaborate with data scientists to implement, train, and evaluate machine learning models. This includes tasks like feature engineering and data versioning.

MLOps (Machine Learning Operations)

• Assist in the deployment of ML models as scalable API endpoints. Help containerize models and monitor their performance in production.

Analysis & Reporting

• Perform exploratory data analysis and support the creation of dashboards and reports to provide actionable insights to business stakeholders.

Documentation

• Maintain clear and concise documentation for data pipelines, infrastructure, and models.

• Bachelor's degree in Computer Science or a related major from a reputable university.
• 1 - 5 years of experience in a related field.
• Proven experience in Python, data science libraries, and other related skills.
• Proven knowledge in major cloud foundations, and machine learning concepts.
• Fluency in English is a must.
• Excellent communication and decision-making skills.