Job Description
General information:
- This role is open to candidates based in the US, Canada, and Latin America.
Interview Process
Two to three 30-minute interview rounds (within the same week)
Start Date
ASAP
Contract Length
12 months (with a high likelihood of extension)
IMPORTANT: Please carefully read the screening questions. We highly recommend answering with your personal experience instead of relying on generative AI. These questions are designed to eliminate the need for an additional screening call. To ensure your responses are unique and reflective of your individual qualifications, please refrain from using generative AI tools. This helps us avoid receiving duplicate answers and allows us to truly get to know YOU.
About Us
Scorpion is the leading provider of technology and services helping local businesses thrive. We do this by helping customers understand local market dynamics, make the most of their marketing, and deliver experiences their customers will love. We offer tools to know what’s going on with marketing, competitors, and customers. We offer a unique blend of AI support and teams of digital marketing experts committed to customer success. At Scorpion, we are ready to do whatever it takes to help our clients reach their goals.
About The Role
We're looking for a talented, collaborative, and ambitious Python Software Engineer or Machine Learning Engineer to contribute to the development of data-intensive AI microservices and their integration with front-end applications. The Python Software Engineer will work closely with data scientists, machine learning engineers, and data engineers to develop, integrate, and evaluate AI systems, including generative AI applications built on the latest large language models such as OpenAI’s GPT-4. You will play an integral part in the project life cycle and work closely with team members from the initial concept to the final release.
What Your Success Will Look Like
- You will be responsible for the development of data, generative AI, and machine learning-enabled microservices and their integration with front-end applications, which includes designing, coding, testing, deploying, documenting and supporting the things that you build.
- Own the back-end code and APIs for AI products currently being worked on and new products to come.
- Define extensible and flexible serverless architectures to facilitate rapid iteration on product concepts.
- Integrate and process data from a variety of structured and unstructured data sources.
- Maintain code base; make fixes and improvements.
- Facilitate data collection through external and internal APIs.
Who You Are And What You Bring
- 3+ years professional software engineering experience.
- Advanced Python skills.
- Microsoft Azure experience.
- Experience with SOA architecture (ideally microservices) and serverless.
- Focus on cloud-based SaaS application development.
- Experience with SQL, Spark or PySpark, NoSQL.
- Experience in an agile software development environment.
- Experience developing high throughput / low latency APIs.
- This is not a data scientist role, but some exposure to generative AI (Large Language Models), machine learning, MLOps, LLMOps, or experience collaborating with AI engineers or data scientists would be helpful.
- A highly organized, innovative, and collaborative individual capable of adapting to workflows.
- Performs work under minimal supervision. Handles complex issues and problems and refers only to the most complex issues to more senior colleagues.
- May provide code review, coaching, and/or mentoring to less experienced colleagues.