Senior ML Engineer at JP Morgan Chase (Herzliya, Israel)

We are growing our technology team that develops infrastructure and applications across a range of technologies in support of markets. We are starting a new initiative to develop a framework for data analytics that will be leveraged across a range of lines of business and implement initial use cases. We are looking for candidates to join this team and be a part of this new initiative from the onset

We are looking for people with a passion for data and experience in processing data sets and building robust infrastructure. You can manage multiple parallel work streams, and are interested in working closely with business stakeholders to ensure the best results. We are currently in need of a Data Analytics engineer to join our fast-growing team. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, building ETL pipelines for large scale data sets, and analyzing data using algorithms and ML models. This is a great opportunity for the successful candidate to become a part of an innovative team that leverages insights from data for our clients benefit.

We look for people who are passionate about solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions.

Requirements:

  • BSc/BA degree or equivalent experience with related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Artificial Intelligence. Master or higher level degrees an advantage
  • 5+ years of data science experience
  • Strong ability to develop and debug in Python (must) and Java (would be an advantage)
  • Experience with machine learning APIs and computational packages (examples: TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas)
  • Experience in creating ETLs and ability to write modular and readable code for complex data processing
  • Team player with good interpersonal and communication skills
  • Able to work both individually and collaboratively in teams, in order to achieve project goal

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