Salary
💰 $182,000 - $272,000 per year
Tech Stack
AWSCloudDockerEC2KubernetesOpen SourcePythonTerraform
About the role
- Be part of a cross-functional team implementing analytic solutions
- Primary stakeholder and key developer for data, ML and data science workflows
- Design, build and test AI/ML infrastructure
- Accelerate data science teams by building automated workflows and tooling solutions
- Collaborate and lead engagement between cross-departmental teams
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 10+ years of software engineering experience
- 5+ years working on applied ML solutions or infrastructure
- Deep knowledge of ML Ops good practices
- Expert in Python programming language
- Experience with containerization and orchestration (e.g., Docker, Kubernetes)
- Experience using TeamCity and Terraform
- Strong understanding of cloud technologies such as AWS S3, EC2, RDS
- Experience using statistical learning algorithms (e.g., GLM, XGBoost, Random Forest)
- Deep understanding of neural network and transformer algorithms
- Familiarity with open source LLM foundation models
- Strong understanding of model performance evaluation and monitoring
- health, dental, and vision insurance
- paid time off
- company sponsored retirement plan
- annual company bonus plan (contingent on factors)
- commissions and/or long term incentive awards (contingent on factors)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonML Opsstatistical learning algorithmsGLMXGBoostRandom Forestneural network algorithmstransformer algorithmsautomated workflowsdata science workflows
Soft skills
collaborationleadershipengagement
Certifications
Bachelor’s degreeMaster’s degree