Junior Machine Learning Engineer
Core
Build and optimize ML/DL data pipelines to extract business insights, analyze trends, and create predictive models for decision-making.
Role type
Junior Machine Learning Engineer (MLOps)
Builds
ML/DL data pipelines, predictive models, and ensemble modeling solutions
Domain
MLOps, Deep Learning, Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, data preprocessing, predictive modeling, ensemble modeling, data visualization, hyperparameter tuning, model management
Preferred skills
Scala, Java, C++, Kubernetes, container systems
Technologies
Python, SQL, Kubernetes
Responsibilities
Research and analyze data sources; preprocess structured and unstructured data; discover trends and patterns; create predictive models; modify and combine models via ensemble modeling; organize and present information using data visualization; collaborate with engineering teams to build and test ML/DL solutions across the ML operationalization spectrum.
Seniority
Junior, recent graduate
