Overview
Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)
Skills
AI/ML
data engineer
ETL
Python
AWS
Job Details
Job Description:
Role: ML Engineer
Location: Malvern, PA (Hybrid)
Responsibilities
- Design, develop, and optimize complex data pipelines using ML engineering best practices to ensure scalability, efficiency, and reliability.
- Build and maintain MLOps pipelines for deployment, monitoring, and lifecycle management of ML/AI models in production.
- Integrate and maintain data and model pipelines, proactively diagnosing data quality issues and documenting assumptions.
- Collaborate with data scientists to validate model-ready datasets and ensure accurate feature documentation.
- Conduct exploratory data analysis (EDA) on raw data sources, incorporating business context to support model development.
- Track data lineage and perform root cause analysis during exploration or issue resolution.
- Partner with internal stakeholders to understand business processes and translate them into scalable analytical solutions.
- Develop and maintain model monitoring scripts, investigate alerts, and coordinate timely resolution.
Qualifications
- Bachelor s degree in a relevant field (Master s preferred).
- 7+ years of experience in AI/ML engineering or data engineering.
- 3+ years of hands-on experience building ETL pipelines using AWS services.
- Proven experience in developing and implementing ML pipelines for production deployment, monitoring, and management.
- Proficient in Python with knowledge of key ML frameworks and libraries.
- Strong understanding of cloud technologies and ML platforms (e.g., AWS SageMaker).
- Solid grasp of software engineering principles: design patterns, testing, security, version control.
- Knowledge of the Machine Learning Development Life Cycle (MDLC) and AI engineering best practices.
- Experience designing and implementing end-to-end ML pipelines and solution architectures.
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