Machine Learning Engineer, Next Insurance

• 3+ years of experience in software development with strong proficiency in Python and web frameworks (Django, Flask, FastAPI)
• Proven experience with CI/CD processes and tools (GitLab CI, Jenkins, CircleCI) and best practices like Test-Driven Development
• Expertise in Machine Learning and Generative AI toolsets (scikit-learn, xgboost, Langchain, LlamaIndex)
• Proficiency in database technologies (Postgres, MySQL) and Python data packages (numpy, pandas, dask, pyspark) and data pipelining (Airflow, Prefect, dbt, etc)
• Experience with cloud deployment (Docker, Kubernetes) and monitoring tools for applications and models (Prometheus, Grafana, etc)
• BS/MS in Computer Science, Statistics, Applied Math, or related fields from a top university

Desirable

• Develop and maintain machine learning models, ensuring they scale effectively within our ecosystem
• Design and implement robust CI/CD pipelines for the seamless deployment of models and web services
• Build and optimize backend services using Python frameworks like Django, Flask, or FastAPI
• Collaborate cross-functionally with data scientists, product managers, and operations teams to deploy ML solutions
• Ensure the reliability and performance of cloud-based applications and ML models through monitoring and optimization using Docker and Kubernetes
• Integrate and manage databases and data pipelines, ensuring efficient data flow and storage for real-time ML application