Job Overview
We are looking for a highly skilled
Data Engineer / ML Engineer to join our growing team. The ideal candidate will be responsible for building scalable data pipelines, developing machine learning models, and deploying production-ready solutions using modern data platforms.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes
- Develop and deploy machine learning models in production environments
- Work with large-scale datasets using distributed computing tools
- Collaborate with cross-functional teams including data scientists and product teams
- Optimize data workflows for performance and scalability
- Monitor and improve model performance using MLflow
- Ensure data quality, governance, and security standards
Required Skills Qualifications
- Strong proficiency in Python
- Hands-on experience with Databricks
- Experience with MLflow for model tracking and deployment
- Solid understanding of data engineering concepts (ETL, data lakes, pipelines)
- Experience with cloud platforms (AWS / Azure / GCP preferred)
- Strong problem-solving and analytical skills
Preferred Qualifications
- Experience with big data tools like Spark or Hadoop
- Knowledge of CI/CD pipelines for ML models
- Experience working in agile environments
What We Offer
- 100% Remote Work Opportunity
- Opportunity to work on cutting-edge Data AI projects
- Competitive salary package
- Collaborative and fast-growing work environment
This job is provided by Shine.com
