python machine learning engineer
Python / Machine Learning Engineer at JPMorgan Chase Bank, N.A.
JPMC is hiring the best talents to join the newly-formed Asset and Wealth Management AI Engineering team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for a self-starter senior engineer and ML expert who is excited about the opportunity. Responsibilities * Collaborate with all of JPMorgan AWM's lines of business and functions to deliver software solutions. This role requires a wide variety of strengths and capabilities, including: * BS/BA degree or equivalent experience * Expertise in application, data, and infrastructure architecture disciplines * Advanced knowledge of architecture and design across all systems * Proficiency in multiple modern programming languages * Knowledge of industry-wide technology trends and best practices * Keen understanding of financial control and budget management * Ability to work in large, collaborative teams to achieve organizational goals * Passionate about building an innovative culture * Solid Python programming skills * Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
- Information Technology > Artificial Intelligence > Machine Learning (1.00)
- Information Technology > Data Science > Data Mining > Big Data (0.33)
Python / Machine Learning Engineer @ Adobe Systems
The challenge The display algorithms team manages the machine-learning and optimization internals of Adobe's suite of online advertising products. We're looking for a Python Engineer who will be building the next generation of data driven products. You will be hands-on, which means you will be writing code in Python to implement various machine learning tools and setting an example for the team in terms of your ability to produce production-quality software. Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity working with large-scale data-sets and big data techniques would be a plus.
- Information Technology > Artificial Intelligence > Machine Learning (1.00)
- Information Technology > Data Science > Data Mining > Big Data (0.40)