Machine Learning Engineer

Job Summary:


The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python programming, recent and relevant PySpark experience, strong AWS skills, and experience setting up local Large Language Models (LLMs). The ideal candidate will have a proven track record of delivering machine learning models into production and will be expected to demonstrate hands-on technical capabilities through a coding exercise and screen-sharing session.

Key Responsibilities:

• Design, develop, and implement machine learning models and solutions.

• Write production-quality code using Python and PySpark.

• Develop and optimize data processing workflows using PySpark.

• Deploy machine learning models into production and support their ongoing operation.

• Work with AWS services to develop and deploy machine learning solutions.

• Set up and work with local Large Language Models (LLMs).

• Troubleshoot, optimize, and maintain machine learning solutions and production models.

• Collaborate with technical teams to deliver scalable and reliable ML solutions.

• Participate in a hands-on coding exercise and screen-sharing technical evaluation.

Required Qualifications:

• 5+ years of experience as a Machine Learning Engineer.

• Extensive hands-on Python programming experience.

• Recent and relevant hands-on experience with PySpark.

• Strong experience with AWS.

• Proven experience delivering machine learning models into production.

• Experience setting up and working with local LLMs.

• Strong hands-on coding and problem-solving skills.

• Ability and willingness to complete a coding exercise through screen sharing.

• Strong focus on hands-on engineering rather than ML management.