Junior Machine Learning Engineer

Overview

We’re hiring a Junior Machine Learning Engineer to work with our AI/ML Team building and scaling intelligent ML systems powering personalized digital experiences across mobile apps and connected platforms.

You’ll work across ML, data infrastructure, and backend systems to bring production-ready AI features into real-world products. This is a hands-on role for someone experienced in deploying scalable ML solutions and optimizing them in live environments.

Responsibilities

• Design, train, and deploy ML models for personalization, recommendations, and computer vision;
• Build scalable batch and real-time data pipelines;
• Integrate ML models into production applications and APIs;
• Improve model monitoring, retraining, and inference performance;
• Collaborate with product, engineering, and data teams on ML-driven features;

• Contribute to cloud-native ML platform architecture and MLOps practices.

   

Requirements

• 2 years of experience in Machine Learning Engineering or Applied AI;
• Experience with recommendation systems, personalization, or computer vision;
• Solid Python skills and hands-on experience with TensorFlow, PyTorch, and scikit-learn;
• Proven experience deploying and maintaining ML systems in production;
• Experience with MLOps and data tools such as MLflow, Airflow, Kafka, BigQuery, or dbt;
• Basic Familiarity with FastAPI, TensorFlow Serving, TorchServe, or ONNX;
• Basic Experience with AWS, GCP, or Azure, including Docker/Kubernetes environments;
• Strong collaboration and communication skills.

Bonus: Experience with edge AI, mobile ML, or image/video processing systems.