Mid-Level Systems Analyst (Generative AI) - Remote

Overview

This position aims to develop the new Generative AI Platform of BV, accelerating generative AI initiatives through mentoring, technical analysis, and guidance on deploying generative AI applications.

In Short

• Design, implement, and deploy generative AI application pipelines ensuring scalability, performance, and security.
• Develop solutions in Python for automation and large-scale data processing.
• Integrate data and models on Google Cloud Platform (BigQuery, Vertex AI, AI Platform, etc.).
• Collaborate with data scientists to optimize generative AI applications and create robust processes for experimentation and validation.
• Work on systems based on GenAIOps, implementing CI/CD practices and model monitoring.
• Utilize tools like Vertex AI, GKE, Cloud Functions, and Cloud Run for data processing and model building at scale.
• Identify process improvement opportunities and propose innovative solutions based on generative AI technology.
• Ensure governance and traceability of language models, applying compliance and security practices.

Requirements

• Solid experience in development with Python, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Experience with Google Cloud Platform (GCP) products, especially GKE, Cloud Run, Cloud Functions, and Vertex AI.
• Knowledge of CI/CD practices and tools like GitLab CI, Jenkins, or similar.
• Familiarity with MLOps, including monitoring, retraining, and tracking models.
• Experience using model versioning and experimentation frameworks, such as MLflow or similar.
• Knowledge of containers and orchestration (Docker, Kubernetes).
• Knowledge of REST APIs and microservices.
• Understanding of relational and non-relational databases, such as SQL and NoSQL.

Benefits

• Certification in Google Cloud Platform (such as Professional Machine Learning Engineer or Data Engineer) is desirable.
• Experience with modern AI generative data architectures.