Requirements: English
Company: Point Wild
Region: Poznan , Greater Poland Voivodeship
ML Ops/Data Engineer Poland, Remote or Ukraine, Remote or Romania, Remote Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the worlds most comprehensive portfolio of industry-leading cybersecurity solutions. Point Wild is building the Trailblazer AI Team a dedicated group focused on applying AI to enhance our products, drive business growth, and deliver real-world impact across multiple product lines (antivirus, VPN, identity protection, password management, and more). As an ML Ops / Data Engineer, you will play a critical role in standing up and maintaining the data pipelines and infrastructure that power AI initiatives across the company. This role is a hybrid between data engineering and MLOps ensuring that AI engineers have clean, structured data for modeling while also building and managing the ML infrastructure for deployment, scaling, and monitoring. Data Pipeline Development Design and maintain ETL/ELT pipelines to ingest, clean, and transform data from multiple product lines. AWS ML Infrastructure Stand up and manage AWS-based ML infrastructure (e.G., S3 data lakes, AWS Glue, EMR, AWS Batch, Lambda, SageMaker). Model Deployment MLOps Own CI/CD for ML models, including environment setup, model versioning, containerization, and monitoring. Support AI Engineers Ensure AI teams have reliable access to data, scalable training environments, and efficient deployment pipelines. Enables AI at Scale AI engineers are focused on modeling; we need dedicated expertise in data pipeline engineering and infrastructure. Data Engineering Expertise Experience building and maintaining ETL/ELT pipelines for large-scale data ingestion and transformation. Cloud MLOps Proficiency Strong knowledge of AWS services for ML infrastructure, model deployment, and automation. DevOps CI/CD Experience setting up CI/CD workflows for ML models, including versioning, monitoring, and automated retraining. Python SQL Skills Comfortable writing efficient Python and SQL scripts for data processing and model deployment. Learn Grow in a High-Impact Team: Collaborate with top AI engineers and scale AI innovation within a growing company.