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