Type of employment:?contractor
At MBH Machine Learning engineers create self standing AI software. They combine best in class software engineering practices and practical knowledge about ML algorithms to automate predictive models, gain insights from products’ usage data. ML Engineers advocate for Data Centric ML Operations. They are delivering self running AI systems empowering product at all levels from driving business logic to monitoring in production and gaining insights.?
- Relevant industry experience with Python, Go Excellent working knowledge of Python Deep Learning?frameworks and overall Python ML ecosystem like Tensorflow, Scikit-learn, Gensim etc Fluent with Code and Data versioning: we use GitHub and DVC In-depth knowledge of underlining mathematics, statistics, and algorithms. Strong Grasp of MLOps with focus on all steps of ML project lifecycle e.g. Data Preparation, Modeling, Deployment, Monitoring Deep knowledge and proven hands-on experience in designing, implementing and maintaining an data pipelines in event-driven, microservices-based distributed landscape Excellent knowledge of various database and storage technology such as PostgresSQL, Druid, MongoDB, HBase, Neo4J, S3. Experience with?methodologies such as pair programming, continuous integration and continuous delivery Experiences with code refactoring, design patterns, design-driven development, continuous deployment, highly scalable applications, application security Community contributions (e.g., open source work, publishing / speaking on technical ideas) is a plus
- Relevant industry experience with Python, Go
- Excellent working knowledge of Python Deep Learning?frameworks and overall Python ML ecosystem like Tensorflow, Scikit-learn, Gensim etc
- Fluent with Code and Data versioning: we use GitHub and DVC
- In-depth knowledge of underlining mathematics, statistics, and algorithms.
- Strong Grasp of MLOps with focus on all steps of ML project lifecycle e.g. Data Preparation, Modeling, Deployment, Monitoring
- Deep knowledge and proven hands-on experience in designing, implementing and maintaining an data pipelines in event-driven, microservices-based distributed landscape
- Excellent knowledge of various database and storage technology such as PostgresSQL, Druid, MongoDB, HBase, Neo4J, S3.
- Experience with?methodologies such as pair programming, continuous integration and continuous delivery Experiences with code refactoring, design patterns, design-driven development, continuous deployment, highly scalable applications, application security
- Community contributions (e.g., open source work, publishing / speaking on technical ideas) is a plus
Agile/digital experience:
- Real passion for development and a demonstrated appetite for continuous learning and sharing
- Passion for mentoring other colleagues in the team
- Strong communication skills with ability to communicate complex technical concepts and align organization on decisions
- Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
- Utilizes team collaboration to create innovative solutions efficiently
- Passionate about technology and excited about the impact of emerging/disruptive technologies
- Wants to unleash inner self-starter and work in an environment that fosters entrepreneurial minds
- Believes in culture of transparency and trust
- Open to learning new ideas outside scope or knowledge
To apply for this opportunity, please register you CV, or for more information call +36 20 373 4295 Mariann Hutyán
