A Machine Learning Engineer who will innovate and deliver valuable AI and ML solutions as part of ML team. Responsible for development, integration, delivery, and support of ML solutions, this individual must be a self-directed professional. In addition to a strong foundation of ML and AI knowledge they must possess excellent communication skills with a demonstrated ability to collaborate across teams.
What you will do:
- 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.
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.
- 1+ years of software development experience and/or commensurate skills building commercial and ML applications.
- 1+ years9 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.
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 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.
