Senior Software Engineer - Machine Learning

Bachelor's or Master’s degree in Computer Science or a related field 4+ years of experience as a Software Engineer, Platform Engineer, ML Engineer, Data Scientist, AI Engineer, or Data Engineer Flexibility in experience with different programming languages Strong knowledge of Python Knowledge of machine learning algorithms, data pre-processing methods, and ML frameworks (such as PyTorch, TensorFlow, Keras) Experience with containers and Kubernetes in cloud environments (AWS, MS Azure, or GCP) Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo) Understanding of software testing, benchmarking, and continuous integration principles Ability to translate business needs into technical requirements Excellent communication and problem-solving skills Self-motivated and adaptable

Design scalable data pipelines and infrastructure for enterprise ML systems Implement ML models and systems into production Deploy scalable tools and services for machine learning training and inference Evaluate new technologies to improve ML system performance and reliability Apply software engineering best practices, including CI/CD, to ML development Review, refactor, optimize, containerize, deploy, version, and monitor ML models Implement monitoring and alerting solutions Optimize and automate the machine learning deployment process Collaborate with cross-functional teams to troubleshoot and resolve issues Stay updated with industry trends and apply knowledge to drive innovation