AI/ML Engineer
Job Description
Burq is revolutionizing the delivery industry by transforming complex delivery processes into simple turnkey solutions. Backed by Village Global, whose investors include tech titans like Bill Gates, Jeff Bezos, and Mark Zuckerberg, we're positioned for significant growth. As an AI/ML Engineer at Burq, you'll be instrumental in scaling our platform and driving innovation in logistics through AI/ML-powered automation. You'll work with cutting-edge technologies, designing and deploying machine learning models using AWS-native tools, implementing MLOps best practices, and collaborating with cross-functional teams. The role offers a unique opportunity to work with both ML frameworks and frontend technologies, making AI features accessible to users. We're a small but rapidly growing team, offering significant opportunity for growth and impact. The position comes with competitive compensation including equity, comprehensive benefits, and the flexibility of remote work. If you're passionate about applying AI to solve real-world logistics challenges and want to be part of a transformative journey, this role offers the perfect blend of technical challenge and business impact.
Responsibilities For AI/ML Engineer
- Design, train, and deploy machine learning models using AWS-native tools
- Collaborate with data engineers to build and maintain robust data pipelines
- Fine-tune and optimize models for scalability, accuracy, and production readiness
- Implement MLOps best practices including CI/CD pipelines
- Monitor model performance and detect drift
- Work with cross-functional teams to integrate AI capabilities
- Share knowledge through code reviews and documentation
Requirements For AI/ML Engineer
- 3–6 years of professional experience in ML engineering or related roles
- Hands-on experience with AWS services including SageMaker, Lambda, Step Functions
- Proficient in Python and ML frameworks such as TensorFlow
- Proficient in Typescript and React
- Solid understanding of data engineering concepts
- Familiar with containerization (Docker), CI/CD pipelines, and MLOps workflows
- Strong collaboration and communication skills
- Self-starter who thrives with autonomy
Benefits For AI/ML Engineer
- Competitive Salary
- Stock Options
- Performance-based Bonuses
- Fully Remote
- Comprehensive Medical Insurance
- Vision Insurance
- Dental Insurance
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