Senior Machine Learning Engineer

The Role

Asset Management Technology (AMT) is seeking a highly motivated and curious Machine Learning Engineer who is passionate about the application of Emerging Technologies in Financial Services.

Come join a collaborative team of Engineers and Data Scientists to prototype, learn, and ultimately deliver solutions using techniques such as machine learning, artificial intelligence, and sophisticated data analytics!

There will be many opportunities to partner closely with our investment, quant, and operations associates to identify and apply new and emerging technologies to improve the investment process.

Furthermore, you will help deploy, scale, and maintain solutions to ensure longer-term adoption of said technologies.

The role will be available in Boston, MA; Raleigh, NC; Merrimack, NH; Westlake, TX; or Denver, CO.

The Expertise and Skills You Bring

• End-to-end knowledge of the machine learning project lifecycle including feature engineering, training, validation, and managing models in a production environment
• Proficient in Python and SQL
• Experience with open-source machine learning frameworks (e.g.

  scikit-learn, PyTorch, TensorFlow)

• Proven expertise in navigating large data sets (structured and unstructured)
• Experience building and hosting data pipelines, RESTful APIs, and/or front-end applications
• Professional experience with deploying and maintaining multiple ML solutions
• Strong technical foundation and ability to learn new skills and technologies as needed
• Familiarity with at least one unit testing framework and understanding of test-driven development (TDD) concepts and standard methodologies
• Strong collaboration and interpersonal skills while also demonstrating the ability to be self-sufficient
• Solves a variety of problems, typically of complex scope with minimal reference to established policies and procedures
• Nice to have: Investment Management business domain knowledge across some combination of Research, Portfolio Management, Trading, Compliance, and Investment Operations
• Computer Science / Engineering related educational background bachelor’s degree or equivalent with 3+ years of experience or Masters with 1+ years of experience