Data Engineer & MLOps Specialist

We are seeking a highly motivated and experienced Data Engineer & MLOps Specialist to join our dynamic Data team. This is a pivotal role where you will design and implement scalable data solutions, develop automation for machine learning workflows, and manage critical infrastructure supporting our AI/ML initiatives.

Responsibilities:

• Develop and maintain automated pipelines for data transformation, model inference, and monitoring.
• Build and manage an annotation database to ensure high-quality labeled data for AI training.
• Design and deploy infrastructure for automated ML inference and neural network analysis using tools like Voxel51 and ClearML.
• Develop ETL pipelines to integrate production data into the data warehouse for analysis and reporting.
• Work on local servers and in the AWS cloud, ensuring efficient and secure processing, storage, and deployment of data and ML models.

Qualifications & Skills:

• 6+ years of experience in data engineering, MLOps, Software or a related field.
• Strong programming skills in Python and experience with SQL and data platforms.
• Familiarity with tools like Voxel51, ClearML, or similar open-source frameworks.
• Hands-on experience in building scalable ETL pipelines and managing large datasets.
• Solid understanding of modern data technologies, including data processing frameworks, data storage solutions, and workflow orchestration tools.
• Knowledge of machine learning workflows and AI environments is a plus.
• Excellent communication and collaboration skills.
• Bachelor’s degree in Information Systems, Computer Science, or a related field; advanced degrees are a bonus.