Shipwell aims to solve the business and technical problem of empowering supply chain efficiency and service effectiveness at scale by leveraging AI and Data Science to revolutionize logistics and supply chain management.
Requirements
- 7+ years of experience in machine learning, AI engineering, or data science, with at least 3 years in a leadership or management role
- Proven track record of architecting, developing, deploying, and maintaining ML models and AI agents in production environments
- Deep expertise in Python, SQL, modern ML tooling, and frameworks such as LangChain, LangGraph, or equivalent agent development kits
- Strong understanding of data engineering best practices including ETL pipelines, data integrity, monitoring, and optimization
- Experience working with cloud infrastructure (AWS preferred) and collaborating with DevOps teams to enable scalable AI/ML systems
- Experience with the entire SDLC in Agile methodologies and git.
- Experience with agentic workflows and product-oriented AI development (building AI systems that interact directly with end users)
Responsibilities
- Set the technical vision and strategy for AI/ML initiatives, making critical architectural decisions that shape our data and AI infrastructure
- Oversee the design, development, and deployment of ML models, AI agents, and data pipelines from conception to production
- Ensure data quality, integrity, and performance across all ML and data infrastructure through best practices and monitoring systems
- Drive innovation in GenAI, agentic systems, and advanced ML techniques to keep Shipwell at the forefront of AI in logistics
- Manage project timelines, resource allocation, and cross-functional dependencies to deliver high-impact AI solutions
- Communicate technical concepts and project outcomes effectively to both technical and non-technical stakeholders
- Stay proactive in identifying opportunities for improvement and raising the bar for team performance and technical excellence
Other
- Lead and mentor a team of ML engineers, AI engineers, and data scientists, providing technical guidance and fostering professional development
- Collaborate closely with engineering, product, analytics, and leadership teams to align AI/ML projects with business objectives
- Demonstrated ability to mentor and develop team members, fostering technical growth and collaborative excellence
- Excellent communication skills to effectively collaborate with engineering, product, and executive leadership
- Bachelor's degree in Computer Science, Engineering, Physics, or a quantitative field, or demonstrated equivalent experience
