ML Engineer
Core
Prepare and validate structured datasets, build and compare ML models (regression, classification, clustering), and support model delivery via APIs.
Role type
Junior ML Engineer (structured data)
Builds
Production ML models and data pipelines (via careerplan.io/jobs/4975295101-ml-engineer-at-coherentsolutions)
Domain
Data science and machine learning
Deliverable
production ML models
Required skills
Python, pandas, NumPy, scikit-learn, SQL, XGBoost, LightGBM, feature engineering, hyperparameter tuning, model evaluation metrics, REST API development, Docker, Git, automated testing
Preferred skills
MLflow, time-series analysis, recommendation systems, model interpretability, cloud services, GenAI, LLM, RAG
Technologies
Python, pandas, NumPy, scikit-learn, Jupyter, SQL, XGBoost, LightGBM, MLflow, FastAPI, Git, Docker, pytest
Responsibilities
Prepare and validate structured datasets; Conduct exploratory data analysis; Build, test, and compare ML models; Develop and select features; Run experiments and tune model parameters; Maintain reproducible ML pipelines and documentation; Write automated tests; Support model delivery via REST APIs or batch workflows.
Seniority
Junior, hands-on IC