Senior MLOps Engineer (Na)

Software development company operating since 2007 across North America, Latin America, Nordic region, UK, and Europe, specializing in Fintech, Healthcare, EdTech, and other industries.
Machine Learning
Senior Software Engineer
Remote
5+ years of experience
AI · Healthcare · Enterprise SaaS

Description For Senior MLOps Engineer (Na)

Intellectsoft, a leading software development company since 2007, is seeking a Senior MLOps Engineer to join their team. The role focuses on an AI-powered platform that helps businesses make better decisions through advanced analytics and machine learning. The platform is particularly impactful in healthcare and various industries, optimizing processes and improving customer experiences. The ideal candidate will have extensive experience in software engineering and ML operations, capable of handling large-scale data processing and model deployment. The position offers a comprehensive benefits package including generous time off, professional development opportunities, and team building activities. Working with clients like Jaguar Motors and Universal Pictures, you'll be part of a team delivering innovative solutions that make a real difference in various industries. The role combines technical expertise with collaborative teamwork, offering opportunities to work on cutting-edge AI solutions while maintaining high standards of code quality and system reliability.

Last updated a month ago

Responsibilities For Senior MLOps Engineer (Na)

  • Develop and refine ML engineering platforms and components
  • Handle large volumes of data efficiently
  • Establish and manage processes for models
  • Monitor model performance and address issues
  • Collaborate with client-facing teams
  • Translate client requirements into features
  • Write robust, maintainable code
  • Participate in code reviews
  • Test all components thoroughly
  • Participate in team meetings
  • Stay updated on latest technology developments

Requirements For Senior MLOps Engineer (Na)

Python
Kubernetes
  • 5+ years of experience in software or data engineering
  • 1+ year of experience in deploying and managing ML models
  • Proficiency with ML Ops for model performance monitoring
  • Strong programming skills in Python
  • Experience with ML platforms (SageMaker, Kubeflow, MLFlow)
  • Experience with TDD and Pytest
  • DevOps concepts and CI/CD pipelines knowledge
  • API development experience (FastAPI, REST API)
  • Git proficiency
  • Hands-on experience in data engineering
  • Excellent English language skills

Benefits For Senior MLOps Engineer (Na)

Education Budget
  • 35 absence days per year for work-life balance
  • Udemy courses of your choice
  • English courses with native-speaker
  • Regular soft-skills trainings
  • Excellence Centers meetups
  • Online/offline team-buildings

Interested in this job?

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