AI/ML Developer, Airline Services

at  DataArt

Position overview: We are seeking an AI/ML Developer with a background in Industrial Civil Engineering, Computer Science, or a related field. Ideal candidates will have at least 2 years of experience in roles such as Software Engineer, Data Engineer, or Machine Learning Engineer. This position requires strong proficiency in Python, UNIX, SQL, CI/CD pipelines, Docker, and data processing workflows. Familiarity with Google Cloud Platform (GCP) is a plus.

• Responsibilities: Design, develop, and deploy machine learning models that address business challenges or optimize industrial processes
• Implement data pipelines and ETL processes to prepare and preprocess data for model training and deployment
• Work closely with cross-functional teams, including data engineers, software developers, and product managers, to integrate ML solutions into production
• Set up CI/CD pipelines to streamline the development and deployment process, ensuring smooth integration of ML models into production environments
• Use Docker to containerize applications for reliable and efficient deployment
• Maintain and optimize existing ML systems, ensuring scalability, efficiency, and reliability
• Document processes, create reusable scripts, and follow best practices for coding, testing, and version control
• Requirements: Advanced proficiency in Python for data manipulation, modeling, and scripting
• Strong experience with UNIX systems, including shell scripting and system commands
• Proficiency in SQL for querying, managing, and processing large datasets
• Familiarity with CI/CD pipelines for streamlined development, testing, and deployment
• Hands-on experience with Docker for developing, packaging, and deploying applications
• Ability to work with large-scale datasets, including data extraction, transformation, and loading (ETL) processes
• Basic knowledge of Google Cloud Platform (GCP), particularly for data storage, model deployment, or cloud-based ML workflows

• Responsibilities: Design, develop, and deploy machine learning models that address business challenges or optimize industrial processes
• Implement data pipelines and ETL processes to prepare and preprocess data for model training and deployment
• Work closely with cross-functional teams, including data engineers, software developers, and product managers, to integrate ML solutions into production
• Set up CI/CD pipelines to streamline the development and deployment process, ensuring smooth integration of ML models into production environments
• Use Docker to containerize applications for reliable and efficient deployment
• Maintain and optimize existing ML systems, ensuring scalability, efficiency, and reliability
• Document processes, create reusable scripts, and follow best practices for coding, testing, and version control
• Requirements: Advanced proficiency in Python for data manipulation, modeling, and scripting
• Strong experience with UNIX systems, including shell scripting and system commands
• Proficiency in SQL for querying, managing, and processing large datasets
• Familiarity with CI/CD pipelines for streamlined development, testing, and deployment
• Hands-on experience with Docker for developing, packaging, and deploying applications
• Ability to work with large-scale datasets, including data extraction, transformation, and loading (ETL) processes
• Basic knowledge of Google Cloud Platform (GCP), particularly for data storage, model deployment, or cloud-based ML workflow