RoundCircle
Website:
roundcircle.tech
Job details:
About the Role
We are looking for a Data Scientist / ML Engineer with 4–6 years of experience to build scalable data pipelines and deploy production-grade machine learning systems powering our SaaS platform in Gurgaon.
In this role, you will work on analytics, automation, recommendation systems, and ML-driven product features while collaborating closely with backend and product teams. We are specifically looking for candidates who have strong hands-on experience in ML model deployment, production workflows, and scalable data engineering systems.
Key Responsibilities
- Build and maintain batch/streaming pipelines using Python and Apache Airflow
- Develop, deploy, and monitor ML models in production environments
- Design and optimize data models and queries on ClickHouse
- Develop ETL/ELT workflows from PostgreSQL, MySQL, and MongoDB
- Work with Kafka/RabbitMQ-based event-driven systems
- Improve data quality, scalability, and query performance
- Contribute to MLOps workflows, monitoring, and retraining pipelines
Required Skills
- Strong Python and SQL skills
- Hands-on experience with ML model deployment and production serving
- Experience with Apache Airflow
- Experience with ClickHouse or analytical databases
- Knowledge of Kafka or RabbitMQ
- Experience building scalable ETL/data pipelines
- Understanding of Machine Learning fundamentals
- Exposure to PySpark/Dask or distributed processing frameworks
- Familiarity with PostgreSQL, MongoDB, and Git workflows
Good to Have
- AWS/GCP experience
- Docker & Kubernetes
- MLOps tools (MLflow, SageMaker, etc.)
- Experience with LLMs, RAG, or vector databases
Click on Apply to know more.