Senior MLOps Engineer (Na)
Description For Senior MLOps Engineer (Na)
Intellectsoft, a prominent 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 platform is particularly impactful in healthcare and various industries, analyzing large datasets to provide valuable insights and predictions.
The ideal candidate will bring 5+ years of software engineering experience and specialized knowledge in ML operations. You'll be responsible for developing and maintaining ML engineering platforms, managing model deployment, and ensuring robust data processing pipelines. The role combines technical expertise in Python, ML frameworks, and DevOps practices with collaborative skills to work effectively with client-facing teams.
Working remotely, you'll join a company that partners with major clients like Jaguar Motors, Universal Pictures, and Harley-Davidson. The position offers comprehensive benefits including generous time off, professional development through Udemy courses, language training, and regular team activities. This is an excellent opportunity for a senior engineer looking to impact various industries through AI and ML solutions while working with a globally recognized technology company.
The role requires strong technical foundations in ML operations, data engineering, and software development best practices. You'll be at the forefront of implementing and managing ML solutions that drive business efficiency and innovation across multiple sectors. The position combines the challenge of complex technical work with the opportunity to directly impact business outcomes through AI-powered solutions.
Responsibilities For Senior MLOps Engineer (Na)
- 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 (Na)
- 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 (Na)
- 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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