Machine Learning Engineer

Job Summary

To support innovative projects, the remote Machine Learning Engineer will design and implement Generative AI solutions, develop end-to-end machine learning models, and collaborate with cross-functional teams to deliver impactful AI/ML systems.

Key Responsibilities

• Design, develop, and fine-tune Generative AI solutions using models like Google's Gemini
• Build and maintain automated MLOps pipelines for various machine learning tasks on Google Cloud Platform
• Collaborate with data scientists and software engineers to define technical requirements and deliver integrated AI/ML solutions

Required Qualifications

• 3+ years of experience building and deploying machine learning models in a production environment
• Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative field
• Advanced proficiency in Python and core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas)
• Hands-on experience with a major cloud provider, preferably Google Cloud Platform (GCP)
• Demonstrable experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini)