We are looking for a Senior Machine Learning Engineer to design, deploy, and operationalize enterprise ML and GenAI systems. You will work on production-grade machine learning solutions, semantic search architectures, and automated MLOps pipelines on Google Cloud Platform (GCP) and Snowflake's Cortex AI.
What You Will Do
- Design and deploy production ML solutions on GCP using Model Garden, LLM Evaluation frameworks, and Batch Inference pipelines.
- Build scalable semantic and similarity search systems using BigQuery Vector Search, Transformer embeddings, and kNN-based models.
- Architect and maintain end-to-end MLOps pipelines using Vertex AI Pipelines, Cloud Build, and Cloud Run jobs.
- Develop prompt engineering solutions and execute in-database AI operations using Snowflake Cortex AI.
- Automate build, test,
and deployment workflows using CI/CD tools (GitHub Actions, Cloud Build).
What We Are Looking For
- Core Cloud ML: Hands-on experience with GCP (Vertex AI, Vertex AI Pipelines, Model Garden, BigQuery Vector Search, Cloud Run, Cloud Build).
- GenAI & AI Modeling: Deep understanding of product similarity models, Transformer architectures, vector embeddings, and kNN algorithms.
- Snowflake AI: Proven experience leveraging Snowflake Cortex AI and prompt engineering.
- Software Engineering: Strong foundation in containerization (Docker) and Cloud IAM.
Nice-to-Have
- Experience with Airflow and dbt for data orchestration.
- Familiarity with Infrastructure as Code (Terraform) and data modeling.
- Continuous integration experience with GitHub Actions
📌 Senior ML Engineer (India)
🏢 RapidBrains
📍 India
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