A senior Machine Learning Engineer who will innovate and deliver valuable AI and ML solutions for our customers. Responsible for the design, development, integration, delivery, and support of complex ML solutions, this individual must be a self-directed professional. In addition to a depth of ML and AI knowledge they must possess excellent communication, leadership, and influencing abilities with a demonstrated ability to guide technical direction across multiple teams.

What you will do:

Architect, design and develop machine learning prediction models to address business challenges, adhering to INDG best practices with integration of AWS services.
Collaborate with domain experts and product managers to understand business needs and map business problems to ML solutions while.
Learn groundbreaking research in advanced ML topics to solve complex problems quickly.  
Act as the principal point-of-contact for ML projects andprovide technical guidance and mentoring to junior team members.
Design and guide feature design and implementation of features for the entire team and deliver solutions for cross-team initiatives.  
Use metrics to make data-driven decisions. 
Write and maintain production-quality code. 
Participate in special projects and perform other duties as assigned.

You need to have:

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related STEM field or Bachelor's degree in any subject with a Master's degree or higher in a STEM field required.
5+ years of software development experience and/or commensurate skills building commercial and ML applications.  
5+years’ experienceand/or commensurate skillswith an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques.
Extensive experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance.

Compensation Range:

$190,000.00-$230,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.

Equal Opportunity

Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).

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