ML Ops Analyst
Core
Prepare, develop, and operate Machine Learning models through data cleaning, transformation, automation, and reporting to support business decision-making.
Role type
Junior ML Ops Analyst
Builds
Production ML models, dashboards, and analysis reports
Domain
Advertising & Media Technology
Deliverable
production ML models | dashboards & analysis
Required skills
Data cleaning and transformation, Exploratory Data Analysis (EDA), Supervised learning (regression, classification), Unsupervised learning (clustering), Python (pandas, numpy, scikit-learn, matplotlib, seaborn), SQL, Data visualization (Tableau, Power BI, Plotly), Git version control
Preferred skills
Advanced Excel, Documentation and communication of technical results
Technologies
Python, SQL, scikit-learn, pandas, numpy, Tableau, Power BI, Git, Excel
Responsibilities
Analyze and process data to ensure model quality, Develop basic ML models using supervised and unsupervised techniques, Automate and document processes and pipelines, Evaluate model performance using appropriate metrics, Collaborate in model training and validation phases, Design dashboards and reports to communicate results
Seniority
Junior, 2 years experience