Company Overview:

Join our team of seasoned experts at the forefront of modern software development, specializing in diverse technological domains within cloud and web environments. Our commitment to staying ahead of the curve is reflected in our dedication to continuous research and adoption of cutting-edge technologies. As a company that values ongoing learning and professional growth, we provide our employees with opportunities for mentorship, courses, training programs, and participation in industry conferences. If you're seeking to advance your career in a dynamic, diverse environment, this is the perfect opportunity for you.

Job Description:

As a Data Engineer, you will play a pivotal role in developing and implementing data pipelines and solutions that support machine learning models in production systems. Collaborating closely with engineering, DevOps, and security teams, you will contribute to building robust testing infrastructure and creating utility code to enhance project capabilities.

Key Responsibilities:

• Develop and maintain data pipelines for advanced machine learning models, with a focus on NLP.
• Implement data solutions to support the deployment of machine learning models in production, ensuring efficiency and scalability.
• Collaborate with cross-functional teams, including engineering, DevOps, and security, to enhance data infrastructure and model performance.
• Create and manage utility code for consistent use across projects.

Requirements:

• Minimum of 3 years of experience in a similar data engineering or related role.
• Proficiency in Python, Git, Jenkins, and working with databases.
• Familiarity with data engineering tools and frameworks.
• Solid understanding of machine learning concepts, particularly in NLP.