Senior MLOps Engineer
Job Description
Intellectsoft, a global software development company established in 2007, is seeking a Senior MLOps Engineer to join their team. The role focuses on an AI-powered platform that helps businesses optimize decision-making through advanced analytics and machine learning. The ideal candidate will have extensive experience in software engineering and ML operations, combining technical expertise with practical implementation skills. The position offers a unique opportunity to work with cutting-edge AI technologies while developing and maintaining scalable ML solutions across various industries, including healthcare. The role provides a balance of technical challenges and professional growth, with comprehensive benefits including extensive learning opportunities and flexible work arrangements. Working remotely, you'll collaborate with international teams while contributing to innovative solutions for notable clients like Jaguar Motors and Universal Pictures. The position requires strong Python programming skills, experience with ML platforms, and expertise in DevOps practices, offering an excellent opportunity for those looking to advance their career in ML engineering while working on impactful projects.
Responsibilities For Senior MLOps Engineer
- Develop, refine, and use ML engineering platforms and components
- Ensure programs can efficiently handle large volumes of data
- Establish and manage processes for models, including data preparation and prediction
- Monitor model performance closely and address issues promptly
- Collaborate with client-facing teams
- Translate client requirements into features
- Write robust, maintainable code
- Maintain high standards through code reviews and quality assurance
- Thoroughly test all components
- Utilize tools for issue tracking, code review, and version control
- Participate in team meetings
- Stay updated on latest technology developments
Requirements For Senior MLOps Engineer
- 5+ years of experience in software or data engineering
- 1+ year of experience in deploying and managing ML models
- Proficiency with ML Ops for assessing and monitoring model performance
- Strong programming skills in Python
- Experience with ML platforms (SageMaker, Kubeflow, MLFlow)
- Experience with Test-Driven Development (TDD)
- Experience with DevOps concepts, CI/CD pipelines
- Knowledge and experience in API development (FastAPI, REST API)
- Proficiency in using Git for version control
- Hands-on experience in data engineering within Big Data ecosystems
- Excellent English language skills
Benefits For Senior MLOps Engineer
- 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
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