Job Responsibilities:
- Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions.
- Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
- Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
Required qualifications, capabilities and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience
- MS or PhD and a degree in Computer Science, Statistics, Mathematics or Machine learning related field.
- Solid programming skills with Java, Python or other equivalent languages.
- Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
- Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
- Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.
- Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB.
- Strong analytical and critical thinking skills.
- Self-motivation, great communication skills and team player.
Preferred qualifications, capabilities and skills :
- Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes.
- Experience in big data technologies: Hadoop, Hive, Spark, Kafka.
- Experience in distributed system design and development