What are the responsibilities and job description for the AI Engineer position at SMC³?
Position Summary
We are seeking an AI Engineer with 3 years of experience to join our Data Science team. This role focuses on translating advanced analytics, machine learning models, and AI solutions into production-ready data products that enhance SMC3 offerings, such as RateWare Plus, Bid$ense, and LTL APIs. You will work closely with data scientists to move ideas from prototype to production, with a strong emphasis on LLMs, agents, and intelligent systems.
Key Responsibilities
We are seeking an AI Engineer with 3 years of experience to join our Data Science team. This role focuses on translating advanced analytics, machine learning models, and AI solutions into production-ready data products that enhance SMC3 offerings, such as RateWare Plus, Bid$ense, and LTL APIs. You will work closely with data scientists to move ideas from prototype to production, with a strong emphasis on LLMs, agents, and intelligent systems.
Key Responsibilities
- Partner with data scientists to transform models and AI solutions into scalable, production-ready systems.
- Create intelligent agents and models to support contract understanding, bid and pricing intelligence, and LTL shipment lifecycle management.
- Develop AI capabilities to enhance core products and APIs in partnership with product and engineering teams.
- Prepare and manage data pipelines from sources such as MongoDB and MariaDB.
- Evaluate model performance to ensure quality output. Implement model and prompt versioning, reproducibility practices, and evaluation workflows at the model layer.
- Collaborate with engineering and DevOps teams to support deployment with need.
- Deliver models through APIs and services using Python based frameworks.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 3 to 5 years of experience in machine learning, AI, or related engineering roles.
- Strong Python skills and experience building production-level services.
- Experience with the following:
- LLMs, prompt engineering, and agent-based systems
- Machine learning models
- SQL and NoSQL databases
- Cloud environments, such as Azure
- Taking models from prototype to production-ready state
- Solid understanding of data science and software design
- Strong collaboration and communications skills
- Self-Directed
- Problem Solving
- Interpersonal Skills
- Strong Written and Verbal Communication Skills
- Accuracy/Attention to Detail
- Adaptability
- Dependability