Senior MLOps Engineer
Description For Senior MLOps Engineer
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 their decision-making processes through advanced analytics and machine learning. The platform is particularly impactful in healthcare and various other industries, facilitating data-driven decisions and innovation.
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 capabilities. 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 significant professional development opportunities, including Udemy courses, English language training, and regular skill development sessions. With 35 days of annual leave, the role provides an excellent work-life balance while allowing you to work on cutting-edge AI solutions that make a real impact across various industries.
The company's global presence across North America, Latin America, the Nordic region, UK, and Europe offers exposure to diverse projects and teams. This role is perfect for a senior engineer who wants to combine ML expertise with practical business applications while working for a company with a strong market presence and commitment to innovation.
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
- Monitor model performance and address issues
- Collaborate with client-facing teams
- Translate client requirements into features
- Write robust, maintainable code
- Maintain high standards through code reviews
- Test all components thoroughly
- 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 in API development (FastAPI and REST API)
- Proficiency in using Git
- Hands-on experience in data engineering
- 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
Jobs Related To Intellectsoft Senior MLOps Engineer
