Machine Learning Engineer - job 8 of 50

Job Summary

A company is looking for a Machine Learning Engineer to design, build, and maintain scalable machine learning systems.

Key Responsibilities

• Deploy and monitor ML models in production using tools like Docker, Kubernetes, and MLflow
• Build and maintain data pipelines with tools such as Airflow, Spark, or Kafka
• Integrate ML models into business applications and collaborate with software engineers

Required Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, or related field, or equivalent experience
• 3-5 years in AI/ML engineering, Data Science, or software engineering with a focus on ML
• Strong understanding of the ML lifecycle, from training to deployment and monitoring
• Advanced Python skills and experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch
• Proficiency in MLOps tools such as Docker, Kubernetes, MLflow, and CI/CD pipelines