Description

We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (GCP), Databricks, Kubernetes, and Generative AI. This role involves designing and deploying scalable ML solutions, integrating cutting edge generative models, and establishing robust monitoring systems to ensure performance and reliability in production environments.

Bachelor or master degree in computer science, Data Science, Engineering, or related field.
5+ years of experience in ML/AI development and deployment.
Strong programming skills in Python and ML libraries (scikit learn, TensorFlow, PyTorch).
Hands on experience with GCP services and Databricks.
Proficiency in Kubernetes and containerized ML deployment.
Experience with Generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
Familiarity with monitoring tools in GCP (Cloud Monitoring, Logging, Vertex AI).
Strong understanding of distributed computing and big data processing.
Experience with RESTful APIs and microservices architecture

Key Skills

Education

Bachelor's or Master's degrees