Principal Machine Learning Engineer, ITC

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WHO YOU WILL WORK WITH You will work closely with business stakeholders, product owners, and your peers within the engineering team to ensure the successful delivery of reporting solutions. Additionally, you will work with other technology teams that lead the up- and down-streams solutions to coordinate dependencies. WHO WE ARE LOOKING FOR We seek passionate engineers to join our team. As a Principal AI/ML Engineer, you will influence and develop robust machine learning and generative AI solutions that have a direct impact on the business. You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. Sagemaker or DataBricks). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model. As a Principal AI/ML Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role. To make it clear, we're not looking for just anyone. We're looking for someone special, someone who had these experiences and clearly demonstrated these skills: Undergraduate degree in Computer Science, a Master's degree in a related engineering field, or equivalent experience 10+ years of professional experience in software engineering 3+ years of experience in the field of Machine Learning Engineering or related fields Strong analytical mindset and experience leading others in problem solving Proficiency working in a team and mentoring others to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD Expertise with agile development and test-driven development Expertise with data structures, data modeling and software architecture Expertise in producing predictive or mathematical optimization models and deploying them to production Experience with complex data sets, ETL pipelines, SQL, and general data engineering Expertise in MLOps or API development is highly desirable Expertise with cloud architecture and technologies, especially Amazon Web Services Expertise with Spark, Kubernetes, Docker, Jenkins, Databricks, or Terraform is highly desirable Effective communication skills with team members, stakeholders, the business, and in code Experience influencing technical strategy through all aspects of technical design and implementation Proficiency providing technical leadership within a team and mentorship to others

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Company Intel

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