Senior Machine Learning Ops Engineer
Remote
Full Time
#Engineering
#Security Engineering
#Data Engineering
#MLOps
#AWS Sagemaker
#Python
#Terraform
Since our founding in Boston in 2008, airSlate has grown from a single product into a global tech leader with over 900 team members and a valuation of $1.25 billion. We serve more than 100 million users through our suite of no-code workflow automation, electronic signature, and document management tools, including brands like signNow, pdfFiller, and Instapage. We are currently scaling our AI capabilities to transform our marketing engine and SaaS products into an intelligent, automated system. As we build the infrastructure to support these high-impact initiatives, we are looking for a Senior Machine Learning Ops Engineer to join us in shaping the future of our technology.
What you'll be doing
- Lead the development of machine learning services and automate MLOps workflows.
- Evaluate and review the architecture of ML solutions to ensure they align with our service standards and project requirements.
- Champion and scale MLOps best practices across the entire organization while providing technical consultation to teams working on production-level ML projects.
What you'll bring
To succeed in this role, you should possess a strong technical background and a passion for building scalable infrastructure. We are looking for the following qualifications:
- Proven professional experience in MLOps and AWS environments.
- Practical expertise working with AWS SageMaker.
- Strong proficiency in Python programming.
- Familiarity with Terraform is considered a significant advantage.
- Fluency in English to collaborate effectively with our global team.
What you'll get
We believe in supporting our team members both professionally and personally. By joining us, you will have access to the following benefits:
- Flexible hours and a remote-friendly work environment.
- Stock options that allow you to share in our company's growth as a partner.
- Comprehensive medical insurance coverage.
- A dedicated mental wellness budget and designated mental health days.
- Generous paid time off to ensure you have time to recharge.
- Extensive professional development support, including funding for courses, conferences, and language learning.
