Full Stack Developer with Machine Learning Experience

Earnix is a leading provider of advanced pricing and rating solutions tailored to the insurance industry. Our cutting-edge software empowers actuaries and data scientists within insurance companies to make data-driven decisions and optimize pricing strategies. With a commitment to innovation and a deep understanding of the insurance landscape, Earnix is at the forefront of revolutionizing the way insurers approach pricing and rating.

We are looking for a Full Stack Developer with Machine Learning Experience to join our A2A (Algorithm 2 Application) team in the data science group. As a Full stack in this team, you will play a key role in taking complex machine learning models and connecting them to a working app using Full-stack Python abilities. This role is ideal for a skilled and experienced individual passionate about software development, machine learning, and MLOps.

You'll do it using:

• 3+ years of strong background in software development, with a focus on Python
• Previous work in a Data science environment, for example, Machine Learning modules.
• MLOps knowledge and experience deploying machine learning models in production environments.
• An understanding of web development concepts.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform – an advantage
• Familiarity with containerization technologies such as Docker and Kubernetes – an advantage
• Experience with data engineering, data pipelines, and data processing – an advantage

You'll excel by:

• Having a commitment to thinking like an owner, taking initiative, and ensuring the success of our machine learning models and app.
• Being a motivated self-learner and driving innovation and excellence in your work.
• Being creative and adaptable in your problem-solving skills.
• Strong communication skills when collaborating in cross-functional teams.

You'll love it because:

• You will have the opportunity to work with cutting-edge technology and be part of a dynamic, independent, and innovative team.
• You will have a great learning environment and many growth opportunities.