MLOps Snowflake Senior - Remoto en Crossbridge

We are seeking a talented and experienced MLOps engineer to join our dynamic team. As an MLOps engineer, you will be the architect of seamless integration between machine learning models and production systems. Your role is pivotal in ensuring the reliability, scalability, and efficiency of our machine-learning infrastructure.  

Qualifications:  

• Bachelor’s or higher degree in Computer Science, Engineering, or a related field.  

• 5 years hands-on experience with a large-scale Enterprise Data Lake (EDL) setup in AWS Cloud using Serverless and standard AWS Data Lake Architecture  

• 5 years experience wit h EDL connectors for SFDC, Snowflake, Oracle and other third-party systems  

• Needs to be familiar with Job monitoring, diagnostics, issue resolution, scalability & performance tuning  

• Proven experience in deploying and maintaining machine learning models in production.  

• Strong proficiency in scripting languages (e.g., Python) and experience with relevant frameworks (e.g., TensorFlow, PyTorch ).  

• Solid understanding of cloud platforms (AWS preferred) and containerization technologies (e.g., Docker, Kubernetes).  

• Familiarity with CI/CD tools and version control systems.  

Skills  

• Automation and scripting skills for building scalable MLOps workflows.  

• Strong problem-solving and troubleshooting abilities.  

• Excellent collaboration and communication skills.  

• Knowledge of best practices in model monitoring, logging, and debugging.