Senior Engineer - Machine Learning Operations

Your Job:  

• Take ML models/algorithms from conception to production, by designing and implementing ML microservices and pipelines in production environment. 
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain.  
• This can include monitoring for data drift, triggering model retraining and setting up rollbacks. 
• Maintain and continuously optimize live productive ML services with a focus on scalability, availability, and reliability. 
• Strive for automation and cloud operation readiness. 
• Collaborate with data scientists and data engineers to deliver ML models in productive services. 
• Stay updated with the latest trends and technologies in AI/ML, GenAI and MLOps to drive innovation and system enhancements. 

Required Qualifications:  

• Bachelor's degree in computer science or equivalent. A minimum of 4 years experience in software engineering or machine learning engineering is preferred. 
• Strong programming skills in Python, Java and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design. 
• Proficiency in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms 
• Familiar with Kubernetes and Docker, including installation, deployment, configuration and optimization. 
• Good understanding of ML frameworks such as TensorFlow, Keras, PyTorch. 
• Experience in web development skills such as HTML, Javascript, CSS is a big plus. 
• Knowledge of AWS cloud platform would be an advantage.