Solvedex
- Location:
- Remote LATAMIndustry:
Fintech & Payment SolutionsAbout SolvedexAtSolvedex , we collaborate withprestigious organizationsto delivercutting-edge fintech solutions . Our expertise lies incustom software development, IT consulting, and AI-driven financial technology services . We are dedicated to buildingscalable, high-performance payment processing systems, fraud detection algorithms, and financial analytics platforms .
As part of our commitment toinnovation , we are seeking ahighly skilled Data Engineer (MLOps)to join adynamic team working on advanced financial technology projects . This remote role offers the opportunity to work withstate-of-the-art machine learning and cloud infrastructurein afast-paced, growth-oriented environment .
Role OverviewWe are seeking an experiencedData Engineer with strong MLOps expertise and machine learning modeling experience in the financial domain . In this role, you will be responsible for building robust data pipelines and ML infrastructure to support our payment processing systems, fraud detection algorithms, and financial analytics solutions.
- Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines usingPython, Airflow, and PySparkto process large volumes of financial transaction data.
- Implement and optimizeMLOps infrastructure on AWSto automate the full machine learning lifecycle from development to production.
- Build and maintaindeployment pipelines for ML modelsusingSageMaker and other AWS services .
- Collaborate withdata scientists and business stakeholdersto implement machine learning solutions forfraud detection, risk assessment, and financial forecasting .
- Ensuredata quality, reliability, and securityacross all data engineering workloads.
- Optimizedata architectureto improve performance, scalability, and cost-efficiency.
- Implementmonitoring and alerting systemsto ensure production ML models perform as expected.
- Qualifications & Skills3-5 years of experienceinData Engineeringwith a focus onMLOpsin production environments.
- Strongproficiency in Python programminganddata processing frameworks (PySpark) .
- Experience withworkflow orchestration tools , particularlyAirflow .
- Hands-on experience withAWS stack , especiallySageMaker, Lambda, S3, and other relevant services .
- Working knowledge ofmachine learning model deployment and monitoringin production.
- Experience withdata modeling and database systems (SQL and NoSQL) .
- Knowledge offinancial services or payment processingdomain is highly desirable.
- Familiarity withcontainerization (Docker)andCI/CD pipelines .
- Excellentproblem-solving skillsand ability to work in afast-paced fintech environment .
