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AI/ML Engineer

3 weeks, 6 days ago
United States
Full-time
Mid Level
Machine Learning Engineer
Software Development
AWS CI/CD Docker DynamoDB Generative AI LLM Machine Learning MLOps Python React SageMaker TensorFlow TypeScript
Apply Now
Burq

Burq

Burq offers on-demand and same-day delivery services for businesses through a network of providers, enabling quick market expansion and efficient last-mile delivery solutions.

Air Freight & Logistics
11-50
Founded 2021
View All Jobs 6

Description

  • Design, train, and deploy machine learning models using AWS-native tools such as SageMaker, Lambda, Step Functions, and S3.
  • Collaborate with data engineers to build and maintain data pipelines for feature ingestion, ETL, and model training.
  • Fine-tune and optimize models for scalability, accuracy, and production readiness.
  • Implement MLOps best practices, including CI/CD pipelines, model versioning, monitoring, and automated retraining workflows.
  • Monitor model performance, detect drift, and implement automated alerts and corrective actions.
  • Work with product, software, and infrastructure teams to integrate AI capabilities into user-facing features.
  • Participate in code reviews, documentation, and architecture discussions to share knowledge and improve team practices.

Requirements

  • 3–6 years of professional experience in ML engineering, data science, or a related role.
  • Hands-on experience with AWS services including SageMaker, Lambda, Step Functions, S3, and DynamoDB.
  • Proficiency in Python and ML frameworks such as TensorFlow.
  • Proficiency in Typescript and React to help bring AI/ML features into the product.
  • Solid understanding of data engineering concepts, including ETL, batch/streaming pipelines, and data validation.
  • Familiarity with containerization tools such as Docker, CI/CD pipelines, and MLOps workflows.
  • Strong collaboration and communication skills, with the ability to explain ML concepts to technical and non-technical stakeholders.
  • Self-starter who can work independently and deliver results with minimal oversight.
  • AWS ML certification or equivalent hands-on experience is a bonus.
  • Experience with generative AI, LLMs, or advanced ML applications is a bonus.

Benefits

  • Competitive salary, stock options, and performance-based bonuses.
  • Fully remote work environment.
  • Comprehensive medical, vision, and dental insurance.
  • Equal opportunity employer committed to diversity and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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