Senior Machine Learning Engineer at JPMorgan Chase Bank, N.A. (Herzliya, Israel)

Senior ML Engineer

Job Description:

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 analyzing and processing data using ML 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 initial prototyping until product deployment.

We are currently looking for a senior ML engineer to join our fast-growing team and provide technical leadership in this area. 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 the data using algorithms and ML models. You can manage multiple parallel work streams, and are interested in working closely with business stakeholders to ensure the best results. 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. You should be a team player with good communication skills and able to work both individually and collaboratively in teams in order to achieve project 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 code for complex data processing

Provide vision, direction and detailed architecture and definition for ML and data capabilities

Advantages :

Experience in analyzing and visualizing large-scale datasets

Experience with big data pipeline tools and / or messaging infrastructures such as Hadoop, Spark, Kafka, Elasticsearch

Experience with cloud based ML and data analytics frameworks, especially AWS basedJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

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