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.
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.
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