Lead Software Engineer (AI/ML), ITC

Undergraduate degree in Computer Science, a Master's degree in a related engineering field, or equivalent experience

8+ years of professional experience in software engineering

3+ years of experience in the field of Machine Learning Engineering or related fields

A demonstrable history of technical leadership, mentoring engineers, and delivering value in an agile product model

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

Expertise in MLOps and an ability to articulate the role of MLOps in the machine learning development lifecycle from experimentation to production and measurement

Familiarity with frameworks such as Scikit-learn, PyTorch, TensorFlow, Spark, FastAPI or similar platforms and frameworks

Experience with complex data sets, ETL pipelines, SQL, and general data engineering

Expertise with cloud architecture and technologies, especially Amazon Web Services: ECR, SageMaker, Lambda, API Gateway

Familiarity with pipeline orchestration tools such as Airflow or Databricks Workflows

Experience with database technology (e.g. Postgres, Redis) and data processing technology (e.g. SageMaker or Databricks)

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