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 solutions. Additionally, you will work with other technology teams that lead the up and down-streams solutions to coordinate dependencies.
WHAT YOU BRING
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
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
