Senior MLOps Solutions Architect

Antal Sp. z o.o., a leading recruitment agency, is seeking an experienced Senior MLOps Solutions Architect to join our team.

Salary: The estimated salary for this role is approximately €120,000 - €180,000 per annum, depending on experience and qualifications.

We are looking for a highly skilled professional to lead the development of our Machine Learning Operations (MLOps) platform. As a Senior MLOps Solutions Architect, you will be responsible for establishing and maintaining best practices for ML Ops, including version control, CI/CD pipelines, and model deployment on Google Cloud Platform's Vertex AI.

Key Responsibilities:

• Establish and maintain best practices for ML Ops, including version control, CI/CD pipelines, and model deployment.
• Implement MLOps tools to streamline model development, training, tuning, deployment, monitoring, and explainability.
• Deploy and manage ML models on GCP's Vertex AI platform, ensuring efficient and scalable execution.
• Identify and address performance bottlenecks in ML models and pipelines.
• Troubleshoot and resolve ML issues, ensuring optimal model performance and costs.
• Work closely with Compliance Analytics data scientists to prepare and preprocess data for model training and evaluation.
• Assist in feature engineering and selection to ensure model performance.
• Develop techniques to visualize and explain model behavior, ensuring model transparency and accountability in-line with PRA S51/23 guidelines.

Pipeline Development:

• Build and maintain robust pipelines for model training, tuning, and deployment, leveraging components of Vertex AI and GCP tooling like Cloud Composer.
• Implement automated monitoring and alerting to track model performance and identify potential issues.
• Develop and maintain data quality checks and validation, including reconciliations in-line with Data Quality and Retention Controls.
• Implement robust security measures to protect sensitive data and models.

Required Skills and Experience:

• Strong proficiency in ML Ops principles and tools.
• Proficiency in data engineering and pipeline development.
• Experience with GCP, including BigQuery, Cloud Composer, and Vertex AI.
• Strong problem-solving and analytical skills.
• Strong proficiency in Python.
• Experience with Java would be beneficial.

We offer a dynamic and challenging work environment, competitive compensation, and opportunities for career growth and development. If you are a motivated and experienced professional looking for a new challenge, please submit your application.