Spotter AI is a fast growing trucking startup based in the US. You will be working in a high energy environment with a diverse pool of co-workers from all around the world.

The Role

Location:  Remote

Job Type:  Full-time

We are seeking a highly skilled Django Developer with a strong background in data science to join our team. In this role, you will be responsible for developing and maintaining complex web applications that support our data-driven products.

Your work will directly contribute to the enhancement of our AI capabilities and the delivery of high-impact solutions to our clients. This position is ideal for someone who is passionate about both backend development and data science, and who thrives in a dynamic, fast-paced environment.

Key Responsibilities:

• Backend Development: Design, develop, and maintain scalable web applications using Django, ensuring they are efficient, secure, and easy to maintain.
• Data Science Integration:  Collaborate with our data science team to integrate machine learning models, data pipelines, and analytics tools into web applications.
• API Development: Develop RESTful APIs to enable seamless integration between our applications and external systems.
• Database Management:  Design and optimize database schemas, manage migrations, and ensure data integrity and performance across our platforms.
• Performance Optimization:  Monitor and improve the performance of our applications, ensuring they are responsive and can handle high volumes of traffic and data.
• Testing and Debugging:  Write unit and integration tests to ensure the reliability of the codebase, and troubleshoot and resolve any issues that arise.
• Collaboration: Work closely with cross-functional teams, including front-end developers, data scientists, and product managers, to deliver high-quality products on time.
• Continuous Learning:  Stay up-to-date with the latest developments in Django, Python, data science, and AI technologies, and apply new knowledge to your work.

Ideal Profile

Preferred Qualifications:

• AI/ML Experience: Experience with AI/ML frameworks (e.g., Tensor Flow, Py Torch) and deploying machine learning models into production.
• Cloud Experience: Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Dev Ops Knowledge: Experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).

Qualifications:

• Data Science Knowledge:  Solid understanding of data science principles, including experience working with data scientists to implement machine learning models and data pipelines.
• Programming Skills:  Proficiency in Python, with a deep understanding of Django and related libraries. Familiarity with data science libraries such as Pandas, Num Py, and Scikit-learn is a plus.
• Database Skills: Experience with relational databases (e.g., Postgre SQL, My SQL) and No SQL databases (e.g., Mongo DB).
• API Development:  Proven experience in designing and developing RESTful APIs.
• Version Control: Proficient in Git and version control workflows.
• Problem-Solving:  Strong analytical and problem-solving skills, with the ability to think critically and adapt to changing requirements.
• Communication: Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Remote Work: Self-motivated, disciplined, and comfortable working in a remote environment.

What's on Offer?

• Work alongside & learn from best in class talent
• Excellent career development opportunities
• Flexible working options