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.
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.
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.
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.
This position is open to all candidates.
