Data Science & AI Developer Full-Time | Shelton, CT & Offshore (India)
Data Sciences & AI Developer
Location: Shelton, CT (Hybrid) | Offshore (Vishakhapatnam, Hyderabad, Noida - Work from any location)
Overview:
We are looking for a talented Data Science & AI Developer to help advance our AI-powered shipping solutions. You will work on cutting-edge technologies to create intelligent shipping workflows such as LLM/NLP-based intent detection, rate shopping, label printing, and carrier management systems. This position will involve building and optimizing AI models, integrating APIs, and working with cloud-based infrastructure.
Your Role:
As a Data Science & AI Developer, you will:
- Build and optimize Natural Language Processing (NLP) and Large Language Model (LLM) using libraries like spaCy to process user intents and extract key shipping data.
- Integrate AI models into the shipping application to process user queries in real-time.
- Develop and maintain microservices (e.g., FastAPI) to manage workflows such as rate shopping and carrier selection.
- Interface with APIs for carrier and shipment management.
- Use vector search techniques with Azure or similar services to store and efficiently retrieve shipping rate data.
- Optimize database queries for better performance and accuracy.
- Implement OpenAI services to generate intelligent responses, rate comparisons, shipping details, and troubleshooting.
- Work on cloud-based infrastructure using Kubernetes Service (K8S) or serverless platforms.
- Conduct unit testing and performance testing for reliable, scalable systems.
- Monitor and fine-tune AI models and services for optimal performance.
- Collaborate with teams to ensure smooth integration of features into platforms like Microsoft Teams and Edge plugins.
Qualifications:
- Strong proficiency in Python and Golang, experience with FastAPI or other web frameworks.
- Experience with LLM and NLP libraries (spaCy, Transformers, or NLTK preferred).
- Knowledge of vector search algorithms (Azure Vector DB or FAISS).
- Experience designing and integrating RESTful APIs.
- Familiar with Azure services (OpenAI, Event Grid, Kubernetes).
- Solid understanding of microservices architecture and cloud-based deployments.
- Database knowledge (e.g., MongoDB, NoSQL, vector-based DBs).
- Strong problem-solving, analytical skills, and the ability to work in an agile environment.
Preferred Skills:
- Knowledge of shipping APIs and logistics workflows.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Familiarity with integration platforms like Microsoft Teams and Edge plugins.
Education:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
- Equivalent work experience in AI, backend development, or shipping-related projects is also acceptable.
Onsite Location (Shelton, CT):
For those based in the U.S., this position is hybrid, with up to 4 days in the Shelton, CT office per week.
Why Join Us:
Join our innovative team and contribute to shaping the future of intelligent shipping and AI-powered solutions. Apply today!