Senior ML Engineer - Remote, MLOps & Production Systems

Look4IT

United States

Remote

USD 140,000 - 200,000

Full time

14 days+
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Benefits offered by this job

B2B contract
Mature engineering culture
Collaborative environment
Access to modern technologies
Knowledge sharing culture

Job summary

Look4IT is seeking a Senior Machine Learning Engineer for a fully remote role, contributing to a globally deployed recommender system. You will enhance the ML platform's architecture, deployment processes, and operational backbone with a strong focus on MLOps, AWS, and production-ready pipelines.

You will lead CI/CD, experiment tracking with MLflow, and collaborate with data scientists, engineers, and stakeholders to ensure scalable, reliable ML solutions.

Qualifications

  • 5+ years of professional experience in Machine Learning Engineering.
  • Experience deploying and maintaining production ML systems.
  • Expert-level Python skills and knowledge of the data science ecosystem.
  • Hands-on experience with AWS, preferably AWS SageMaker.
  • Strong knowledge of MLOps practices and lifecycle.
  • Practical experience with MLflow.
  • Experience with GitLab CI/CD.
  • Experience with PyTorch or TensorFlow.
  • Experience designing and building scalable ML and data pipelines.
  • Experience with ML system monitoring and observability.
  • Ability to design, document, and communicate complex technical architectures.
  • Experience mentoring and providing technical guidance to other engineers and data scientists.
  • Strong communication and stakeholder management skills.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Responsibilities

  • Drive and improve MLOps across the ML environment.
  • Build and optimize CI/CD pipelines using GitLab.
  • Implement ML experiment tracking and model management with MLflow.
  • Productionize ML models using AWS SageMaker.
  • Design and maintain scalable ML and data pipelines.
  • Develop Python-based ML and data infrastructure.
  • Implement monitoring and observability for ML systems.
  • Provide technical guidance and mentoring to Data Scientists, Data Engineers, and MLOps Engineers.
  • Collaborate with Product Managers, Data Scientists, Engineers, and business stakeholders.
  • Evaluating and introducing new technologies to improve ML capabilities.

Skills

Python
MLOps
CI/CD
Data pipelines
Model deployment
Mentoring
Communication
Stakeholder management

Education

Bachelor's degree in CS/Engineering

Tools

GitLab CI/CD
MLflow
SageMaker
PyTorch
TensorFlow

Job description

Look4IT is seeking a Senior Machine Learning Engineer for a fully remote role, contributing to a globally deployed recommender system. You will enhance the ML platform's architecture, deployment processes, and operational backbone with a strong focus on MLOps, AWS, and production-ready pipelines.

You will lead CI/CD, experiment tracking with MLflow, and collaborate with data scientists, engineers, and stakeholders to ensure scalable, reliable ML solutions.

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