Machine Learning Web Application Architect 2

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:

• Master's or PhD in Computer Science, Engineering, Mathematics, Machine Learning, similar field of study or equivalent work experience.
• 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.

Bloomberg Industry Group IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity. Bloomberg Industry Group has adopted an Affirmative Action Program to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, gender identity, sexual orientation, marital or familial status, pregnancy, childbirth, or related medical issues, genetic information, disabled veteran, veteran, a veteran of the Vietnam Era, or any other classification protected by law.