Senior Software Engineer - MLOps & Machine Learning Integration

Job Title: Senior Software Engineer - MLOps & Machine Learning Integration

Location: Remote

Duration: 6 Months - Contract to Hire

Job Description

We are seeking a dynamic Senior Software Engineer with an ML focus to lead the integration and operationalization of machine learning models in our Search area. This role requires close collaboration with data scientists and leadership teams, leveraging MLOps best practices to ensure smooth deployment and operation of ML models. The ideal candidate will have expertise in diverse ML platforms, including Google Vertex AI, cloud technologies, and open-source solutions.

This role sits at the intersection of MLOps, data science, and software engineering, ensuring the robustness and scalability of our ML infrastructure.

Required Qualifications:

• 5+ years of experience in software engineering with a focus on machine learning and MLOps.
• Expertise in Google Vertex AI, cloud ML platforms, and open-source ML tools.
• Hands-on experience with recommender systems and deep learning frameworks.
• Strong software engineering skills to integrate ML models into large-scale applications.
• Experience with A/B testing, model evaluation, and optimization techniques.
• Solid understanding of infrastructure needs for ML deployment (GPU/CPU, networking, scaling).
• Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
• Strong collaboration skills to work with data scientists, engineers, and leadership teams.