Role overview
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**Position Title:**
**MLOPS Engineer**
**Job Location:**
**Malvern, PA(Onsite)**
**Joining Mode: Long Term Contract**
**Note: AI/ML, AWS, ETL, SageMaker, MLOPS, Python**
**Job Description:**
* Design develop and optimize complex data pipelines using machine learning engineering best practices to ensure scalability efficiency and reliability
* Develop and implement robust MLOPS pipelines to support the deployment monitoring and lifecycle management of AI or ML models in production environments.
* Integrate and maintain data and model pipelines proactively diagnosing data quality issues and documenting assumptions.
* Collaborate closely with data scientists to validate model ready datasets and ensure thorough accurate feature documentation.
* Conduct exploratory data analysis and discovery on raw data sources incorporating business context to support model development.
* Track data lineage and perform root cause analysis during early-stage of 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.
* Bachelor s degree in a relevant field required master s degree preferred7 plus years of relevant experience in AI engineering or machine learning engineering or data engineering experience
* Minimum 3 plus years of hands-on experience building ETL pipelines using AWS services
* Proven experience developing and implementing MLs pipeline for deploying monitoring and managing AI or ML models in production.
* Proficient in Python And familiar with key machine learning frameworks and libraries
* Strong understanding of cloud technologies and AI or ML platforms like AWS SageMaker.
* Solid grasp of software engineering principles including design patterns testing security and version control.
* Knowledge of the machine learning development life cycle (MDLC) and AI engineering best practices
* Experience designing and implementing end to end machine