Seeking a Data Engineer with MLOps Expertise
We are looking for an experienced Data Engineer to join our team and contribute to the development of cutting-edge fintech solutions. In this role, you will be responsible for designing and implementing scalable data pipelines using Python, Airflow, and PySpark.
Key Responsibilities:
* Data Pipeline Development: Design, develop, and maintain data pipelines to process large volumes of financial transaction data.
* MLOps Infrastructure: Implement and optimize MLOps infrastructure on AWS to automate the full machine learning lifecycle from development to production.
* Model Deployment: Build and maintain deployment pipelines for ML models using SageMaker and other AWS services.
* Collaboration: Collaborate with data scientists and business stakeholders to implement machine learning solutions for fraud detection, risk assessment, and financial forecasting.
* Data Quality and Security: Ensure data quality, reliability, and security across all data engineering workloads.
* Data Architecture: Optimize data architecture to improve performance, scalability, and cost-efficiency.
* Monitoring and Alerting: Implement monitoring and alerting systems to ensure production ML models perform as expected.
Requirements:
* Experience: 3-5 years of experience in Data Engineering with a focus on MLOps in production environments.
* Skills: Strong proficiency in Python programming and data processing frameworks (PySpark), experience with workflow orchestration tools (Airflow), and hands-on experience with AWS stack.
* Education: Bachelor's degree in Computer Science or related field.
What We Offer:
* Opportunity to Work with Advanced Fintech Solutions: You will have the opportunity to work with state-of-the-art machine learning and cloud infrastructure in a fast-paced, growth-oriented environment.
* Competitive Salary and Benefits: We offer a competitive salary and benefits package, including health insurance, retirement plan, and paid time off.
* Professional Development: We invest in our employees' professional development, providing training and opportunities for growth and advancement.