Algorithm Developer

We are looking for an Algorithm Engineer to join our Analytical initiative in the development group. As an Algorithm Developer in this team, you will play a key role in taking complex machine learning models and productizing them. This role is ideal for a skilled and experienced individual passionate about software development, machine learning, and MLOps.

Requirements:

You’ll do it using:

3+ years of strong background in software development using Python and Java as a strong advantage.

Previous experience in a Data science environment.

Background with statistics and optimizations.

MLOps as a strong advantage - 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.

Position Intro:

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.