J
AI

MLOPS Engineer

Jobs via Dice · Malvern, PA

Actively hiring Posted 7 months ago

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Mango Analytics, is seeking the following. Apply via Dice today!

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

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer Machine Learning Data Science Mlops Data Engineer
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