Overview
Location: Full remote.
Schedule: Full time
Job Purpose
Our growth partner seeks to expand its MLOps team to enhance ML solutions' deployment, monitoring, and scalability that drive value across marketplace optimization, operations, and sales. The MLOps team ensures the seamless integration and performance of ML-enabled software solutions that meet evolving business needs.
Successful candidates will play a pivotal role in developing end-to-end solutions while collaborating with stakeholders to understand broader goals and practical challenges. They will leverage their technical expertise and strategic insight to deliver innovative, context-driven recommendations that align with organizational priorities and drive measurable impact.
Responsibilities
- Working with fellow machine learning engineers to build, automate, deploy, and monitor ML applications.
- Developing data pipelines that feed ML models.
- Deploy new ML models into production.
- Building REST APIs to serve ML models predictions.
- Monitoring performance of models in production
Experience & Qualifications
- 3+ years of prior relevant work or lab experience in ML/DL projects/research
- Advanced proficiency with Python, SQL
- Experience with building and deploying REST APIs (Flask, Fast API)
- Experience with cloud services (AWS/GCP) and kubernetes, docker, CI/CD.
- Advanced English proficiency
- Experience with MLOps-specific tooling like Vertex AI, Ray, Feast Kubeflow or ClearML are a plus
- Experience with distributed caching technology like Redis, (nice to have)
- Experience with real- time data streaming and processing Kafka (nice to have)
- Experience with building ML model (nice to have)
