Machine Learning Web Application Architect 2

A Machine Learning Engineer who will innovate and deliver valuable AI and ML solutions for our customers. Responsible for development, integration, delivery, and support of complex ML solutions, this individual must be a self-directed professional. In addition to solid ML and AI knowledge they must possess excellent communication skills with a demonstrated ability to collaborate across teams.

What you will do:

• Design and develop machine learning models to address business challenges, adhering to INDG best practices with integration of AWS services.
• Collaborate with cross-functional teams to gather requirements, propose technical solutions, and shape project architecture with cloud infrastructure considerations.
• Architect and implement scalable, high-performance machine learning pipelines and infrastructure utilizing AWS and DevOps practices.
• Serve as a strong influencer on technical trends and participate in providing technology roadmap/vision for the team, incorporating cloud-based solutions.

• Build enterprise applications at-scale using expertise in computer science fundamentals.
• 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.
• 3+ years of software development experience and/or commensurate skills building commercial and ML applications.  
• 3+ years’ experience and/or commensurate skills with an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques
• Experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance.

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”).