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 leverages advanced analytics and machine learning to help businesses make data-driven decisions. The platform serves various industries, particularly healthcare, optimizing processes and improving customer experiences.
The ideal candidate will have extensive experience in software and data engineering, with specific expertise in ML operations. You'll be responsible for developing and managing ML engineering platforms, ensuring efficient data handling, and maintaining high-quality code standards. The role requires strong technical skills in Python, ML platforms, and DevOps practices, along with the ability to collaborate effectively with client-facing teams.
Working at Intellectsoft offers the opportunity to contribute to innovative solutions for major clients like Jaguar Motors, Universal Pictures, and Harley-Davidson. The company provides excellent benefits including generous time off, continuous learning opportunities through Udemy courses, and regular professional development activities. This remote position offers the flexibility to work from home while being part of a global team delivering cutting-edge AI solutions.
The role combines technical expertise with practical business application, making it ideal for someone passionate about implementing ML solutions at scale. You'll be at the forefront of AI technology, working with large-scale data and contributing to solutions that make a real difference across various industries.
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 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
- 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 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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