- Proficiency in CI/CD tools such as Looper Pro and Jenkins.
- Experience with Google Cloud Platform (GCP) services, including Vertex AI, Cloud Storage, BigQuery, Cloud Functions, Cloud Pub/Sub, Cloud Build, Airflow, and Cloud Run.
- Understanding of ML concepts and LLMs (training, validation, hyperparameter tuning, evaluation).
- Experience with TensorFlow, Keras, PyTorch, and scikit-learn.
- Data preprocessing, ETL, and data pipelines using Spark/Scala with serverless Dataproc.
Preferred Skills & Qualifications
- Experience with Element Platform visibility.
- Knowledge of model versioning and continuous training and deployment using Vertex AI pipelines.
- Familiarity with data engineering principles.
- Experience in ML ops.
- Ability to work in a agile and collaborative environment.
Day-to-Day Responsibilities
- Develop and maintain CI/CD pipelines for deployment.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Monitor and optimize AI models for performance and efficiency.
For immediate consideration please click APPLY to begin the screening process with Alex.