Web Application Architect 1– Machine Learning

About the Role

We are seeking a Machine Learning Engineer to innovate and deliver valuable AI and ML solutions as part of our ML team. This individual will be responsible for the development, integration, delivery, and support of ML solutions. The ideal candidate is a self-directed professional with a strong foundation in ML and AI, excellent communication skills, and a demonstrated ability to collaborate across teams.

Responsibilities

• Implement machine learning-based solutions 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.
• Build enterprise applications at scale using expertise in computer science fundamentals.
• Use metrics to make data-driven decisions.
• Diagnose and fix production issues.
• Write and maintain production-quality code.
• Participate in special projects and perform other duties as assigned.

Qualifications

• Bachelor's degree in mathematics, Statistics, Computer Science, or a related STEM field, or a Bachelor's degree in any subject with a Master's degree or higher in a STEM field.
• 1+ years of software development experience and/or commensurate skills building commercial and ML applications.
• 1+ 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.
• Knowledge of professional software engineering practices and the full software development life cycle, including coding standards, architecture/design patterns, code reviews, source control management, build processes, testing, and operations.

Pay

Compensation Range: $110,000.00-$140,000.00. Placement in the salary range will be decided upon completion of the interview process. Salary determination will be based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.