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Recuritment and Developing

Machine Learning Engineer

  • Malvern
  • |7 years of exp
  • |Contract
Posted: 2 months ago
Job Location
Malvern
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
Security
Cloud Technologies
Version Control
Design Patterns
testing
Etl Pipelines
aws services
AWS SageMaker
Ml Models
AI Platforms
ML Platforms
Software Engineering Principles
Machine Learning Development Life Cycle
AI Engineering Best Practices

About the job

Role: ML Engineer

Location: Malvern, PA - hybrid onsite

Duration: 6 months

Must have Skills:

ML models

AWS SageMaker

AWS services

Required qualifications:

Responsibilities

  • Bachelors degree in a relevant field required masters 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 learning pipelines and solution architectures

##Equal Employment Opportunity Statement

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws.

We are committed to creating an inclusive environment for all employees..##