Machine learning engineer

Essential Functions:

• Works with the team in building, deploying, monitoring, continuously optimizing ML models and developing automated ML models’ training & inference pipelines.
• Works with the team in building a deep understanding of the Company’s products, services, data and customers to facilitate development of personalized and fulfilling experience.
• Works with the team in diving into machine learning engineering and researching topics including ML algorithms, feature engineering, analysis, modeling, and production deployment.
• Collaborates with Machine Learning Engineers to continue to mature the use of machine learning within the organization.
• Identifies new opportunities of applying ML technology to improve the business workflows and processes.
• Performs other related duties and projects as business needs require at direction of management.

Education and Experience:

• Master’s degree in Machine Learning, Deep Learning or a computer science-related field. PhD preferred.
• Previous relevant working experience required. Understands fundamental concepts, practices and procedures of ML field.
• Previous experience in data discovery, data aggregation and feature engineering with excellent SQL query writing skills preferred.
• Previous experience in training, evaluating, optimizing, deploying and maintaining machine learning models on production systems preferred.
• Previous experience in logging, tracking, A/B testing, evaluate and analysis the performance of different ML algorithms and models on production systems preferred.
• Previous experience in application developing and strong development skills in Python programming language and have experience on developing data-driven, scalable and reliable applications with AWS preferred.
• Previous experience in applying machine learning algorithms to solve a wide range of optimization problems like customer sales prediction, recommendation engine, sentiment analysis, deep learning with image and natural language, customer segmentations/clustering, object detection preferred.
• Previous experience in using popular open source ML/Deep learning libraries like MxNet/Gluon, Tensorflow, scikit-learn, pandas, pyTorch, Keras, xgboost, LightGBM, Turi Create and Nvidia Digits preferred.
• Previous experience in working with relational, non-relational, and high-scale data processing and storage frameworks like SQL, AWS RedShift, Aurora, S3, DynamoDB, MySQL, PostgreSQL preferred.
• Previous experience with AWS Serverless architecture and AWS native services like EC2, Lambda, Step Functions, SageMaker, DeepLens, Rekognition, IoT, GreenGrass, Comprehend, Lex/Polly and Transcribe preferred.