Machine Learning Engineer

Required Skills & Experience Prior experience working with Machine Learning and/or AI technologies Experience leveraging Large Language Models (LLMs) such as Claude, ChatGPT, or similar tools to accelerate development, automate tasks, and generate code solutions Ability to effectively prompt AI tools to create, troubleshoot, or enhance Python programs and workflows Experience with cloud-based platforms and environments such as Snowflake, Databricks, Azure, or AWS (familiarity with cloud compute resources and cloud-based databases) Strong SQL skills for data querying and analysis Proficiency in Python programming Bachelor's Degree required Nice to Have Skills & Experience End-to-end machine learning model development and deployment experience Job Description • Partner closely with the Data Analytics and Engineering teams to design, build, deploy, and support machine learning solutions that drive business outcomes • Assist in developing and maintaining the infrastructure required to support machine learning models, including deployment, monitoring, and ongoing performance evaluation • Write and maintain Python-based code to support AI and machine learning initiatives, with a strong emphasis on hands-on development and execution • Support the machine learning lifecycle through data preparation activities, including data cleansing, organization, labeling, and validation • Analyze model performance, identify improvement opportunities, and help optimize solutions for scalability and effectiveness in production environments • Work with structured and unstructured data using SQL, cloud platforms, and related technologies to support model development and deployment efforts • Collaborate across multiple phases of the machine learning process, requiring strong organization, attention to detail, and project management skills • Contribute to machine learning initiatives by supporting key components of the model development lifecycle, rather than being solely responsible for building solutions entirely from scratch • Leverage AI tools and Large Language Models (LLMs) to improve development efficiency, automate tasks, and accelerate solution delivery