ML Engineer

About us

Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions.
Itero Group's dedicated team members are experienced thought leaders, tenacious workers, and creative thinkers. We hire people who are passionate about being catalysts for change - in our company, for our clients, throughout our career- and we empower people to express their ideas, create better practices, innovate better products, and become better professionals.
We have been named a Great Place to Work for six years, and offer a competitive salary and benefits package. 

Core Responsibilities: What You'll Build and Own

• Pipeline Architecture & Automation: Lead the migration of our modeling workflows from notebooks and scripts to fully automated, production-grade ML pipelines. You will define how we train, version, and deploy models at scale.
• Privacy Engineering: Collaborate with Data Engineers to design and enhance our privacy-preserving data pipelines. You will be responsible for ensuring that PII is detected and anonymized effectively before it reaches our training environments or is retained.
• Infrastructure as Code: Champion the use of AWS CDK (or Terraform) to define our ML infrastructure, ensuring our training and inference environments are reproducible and resilient.
• Model Expansion: Collaborate with the CDO to expand our technical capabilities, including building the foundation for multi-lingual fraud detection and hybrid rule-based/ML systems.
• Operational Excellence: Implement best practices for MLOps, including automated rollback strategies, drift detection, and continuous performance monitoring.

Must-Have Qualifications:

• 3-5 Years of Experience: Proven background in Machine Learning Engineering (or Data Science with a heavy software engineering focus).
• SageMaker Native: Deep expertise within the AWS ML ecosystem, specifically in migrating workflows from SageMaker Studio Notebooks to automated Pipelines.
• Strong Python Engineering: You write clean, modular, and tested code. You are comfortable refactoring "research code" into production-grade software.
• MLOps Fundamentals: Experience implementing CI/CD for machine learning, including automated rollback strategies and model drift detection.
• Infrastructure as Code: Hands-on experience defining infrastructure using AWS CDK or Terraform.

Nice-to-Have:

• NLP & PII Experience: Familiarity with Named Entity Recognition (NER) for PII redaction and working with modern text classification architectures (BERT, RoBERTa).
• Multi-Lingual NLP: Experience training, fine-tuning, or deploying models for non-English languages.

Education:

• Bachelor’s or advanced degree in Computer Engineering, Computer Science, Electrical Engineering, or a closely related technical field.

If you are looking for a role where you will lead with integrity, create and innovate, inspire excellence, be a respected member of the team, drive results, and have fun, we look forward to connecting with you!

Benefits at Itero Group
At Itero Group, we’re proud to offer a comprehensive benefits package designed to support your health, financial well-being, and work-life balance:

• Health & Wellness: Medical (BC-BS), dental, and vision plans to suit your needs. 
• Paid Time Off: Generous PTO, paid holidays, and increasing PTO based on years of service.
• Retirement Savings: 401(k) plan with company match and auto-enrollment.
• Company-Paid Coverage: Short-term and long-term disability, life insurance, and AD&D insurance.
• Additional Options: Voluntary benefits including pet insurance and student loan assistance up to $1,000 annually.
• Perks: FSAs, HSAs, wellness programs, and more to enhance your work-life balance.

Join us and enjoy a benefits package designed with you in mind!

Itero Group is an equal opportunity employer and does not discriminate against any employee or applicant because of race, age, sex, color, physical or mental disability, religion, sexual orientation, marital status, national origin, veteran status or political affiliation.