ML Engineer

Are you passionate about building intelligent, scalable ML systems on the cloud? We’re looking for a Senior ML Engineer to join our team and work on cutting-edge machine learning solutions using Google Cloud Platform and Snowflake’s Cortex AI. You’ll be part of a team that designs, deploys, and operationalizes ML models that power real business outcomes for our enterprise clients.

What You’ll Do

• Build and deploy ML solutions using GCP’s Agent Platform - including Model Garden, Evaluation, and Batch Inference (Batch Prediction jobs)
• Work with BigQuery and BigQuery Vector Search to power large-scale data and similarity search use cases
• Design and manage ML pipelines using Vertex AI Pipelines (MLOps), Cloud Build, and Cloud Run jobs
• Develop solutions involving product similarity, Transformer models, embeddings, and kNN-based approaches
• Apply prompt engineering techniques and leverage Cortex AI features within Snowflake
• Collaborate with cross-functional teams to translate business problems into production-ready ML systems

• Hands-on experience with GCP services: Model Garden, Evaluation, Batch Inference, BigQuery (including Vector Search), Vertex AI Pipelines, Cloud Build, and Cloud Run
• Strong understanding of ML concepts around product similarity, Transformer models, embeddings, and kNN
• Experience with prompt engineering and Cortex AI on Snowflake

Nice to Have

• Experience with Airflow and dbt
• Familiarity with Terraform and data modelling
• Working knowledge of cloud infrastructure, especially Cloud Build, Cloud Run, and IAM
• Experience with GitHub Actions