Backend or Data Engineer Python - ML Focus, 2,500

At EATLAB, we envision a future in which restaurants are no longer limited by their lack of resources and given the access to opportunity. We envision a future where workforces are enhanced by AI. The AI we built will leave no one (with efforts) behind. We seek to provide easy access to useful AI technology, enabling companies (Medium going Large sizes) to become fully self-sufficient and reap the rewards of their hard work.

We're seeking a highly skilled Mid-Level Data Engineer or a BackEnd Developer with a strong Python background, who has strong passion for building and optimizing complex systems. This individual will be responsible for streamlining our development and deployment processes, with a focus on Machine Learning operations (ML-Ops) and scaling our Python backend infrastructure.

Key Responsibilities

Responsibilities

• ML-Ops : Build and maintain CI/CD pipelines for Machine Learning models, including data management, model training, model deployment, and model performance monitoring on production environments.
• ETL : Design, develop, and maintain robust ETL pipelines to extract, transform, and load data from various sources.
• Data Processing : Develop processes for data pipelining, cleaning, modeling, mining, production, and monitoring
• Monitoring and Alerting: Monitor data quality and integrity, as well as implement data validation and error-handling mechanisms.
• Database Optimization: Implement scaling and sharding strategies for our databases to handle increasing data volumes. Optimize and scale data storage solutions to handle large volumes of data efficiently.
• Data Security : Implement data security and compliance measures to protect sensitive information.
• Docker Expertise : Containerize applications and services for seamless deployment and portability.
• Bitbucket Pipelines: Automate build, test, and deployment workflows using Bitbucket Pipelines.
• Continuous Improvement : Continuously improve existing data workflows and processes to enhance performance and reliability.

Must Have's

• At least 1 year of experiences with machine learning frameworks (e.g., TensorFlow, PyTorch) and model deployment tools (e.g., MLflow, Kubeflow).
• Expertise in data modeling, ETL development, and data warehousing.
• Knowledge of data visualization tools and techniques.
• Willingness to learn on a daily basis!
• Familiarity with DevOps practices and CI/CD pipelines.
• Proficient in Python
• Can understand English and write in English (Tôi có thể nói được một chút tiếng Việt :P)

Nice to Have's

• Passion in catching fraudulent activities in restaurants or off-line shops (This is what we build at EATLAB!)
• Understanding of data privacy regulations and best practices.
• Fluent in English
• Experience with SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of big data tools like Bigquery, Looker, Hadoop, Spark, Kafka, etc.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• You will get to help shape the future of AI technology in real life!
• You will get to catch frauds on a daily basis! It's fun!! Trust me.
• Great benefits and twice a year salary increase review
• Competitive salary and flexible hours!