Remote ML Engineer — Build & Tune Models

Coherent Solutions; Athens (GA); Hybride; USD 100 000 - 160 000; Plein temps

Avantages offerts par ce poste

Health insurance

Flexible work options (remote/hybrid)

Training & conferences

Mentorship & career growth

Referral program

Résumé du poste

Coherent Solutions is seeking an early-career ML Engineer to collaborate with senior engineers on internal machine learning initiatives. You will prepare datasets, perform exploratory analyses, and build models for regression, classification, clustering, and anomaly detection.

The role includes feature engineering, experiment tracking, and documentation. You will contribute to reproducible ML pipelines and help deploy models via REST APIs or batch workflows, with a focus on learning and gradual

Qualifications

• 1+ year hands-on Python development with Pandas, NumPy, Scikit-learn, and Jupyter.
• Strong foundation in statistics, probability, and linear algebra; capable of EDA.
• Understanding of supervised/unsupervised learning and common tasks like regression, classification, clustering, dimensionality reduction, and anomaly detection.
• Experience preparing structured datasets with cleaning, transformation, encoding, scaling, and feature engineering.
• Knowledge of train/validation/test splits, cross-validation, data leakage, and model evaluation metrics.
• Familiarity with hyperparameter tuning and reproducible ML pipelines.
• SQL skills for data extraction and analysis.
• Ability to expose models via REST APIs or batch workflows.

Responsabilités

• Prepare and validate structured datasets for ML tasks, including cleaning, transformation, encoding, scaling, and handling missing values.
• Conduct exploratory data analysis to identify patterns and data quality issues.
• Build, test, and compare ML models for regression, classification, clustering, dimensionality reduction, and anomaly detection.
• Develop and select features with guidance from senior engineers.
• Run experiments, tune parameters, and evaluate results with appropriate metrics.
• Maintain reproducible ML pipelines, notebooks, experiments tracking, and documentation.
• Write and maintain automated tests for data and model code.
• Support model deployment through REST APIs or batch processing workflows.
• Document model assumptions, results, limitations, and decisions.
• Collaborate with senior engineers and gradually take ownership of more complex tasks.

Connaissances

Python

Pandas

NumPy

Scikit-learn

Jupyter

Statistics

EDA

English (B2+)

Outils

Docker

Git

pytest

MLflow

FastAPI

Description du poste

Coherent Solutions is seeking an early-career ML Engineer to collaborate with senior engineers on internal machine learning initiatives. You will prepare datasets, perform exploratory analyses, and build models for regression, classification, clustering, and anomaly detection.

The role includes feature engineering, experiment tracking, and documentation. You will contribute to reproducible ML pipelines and help deploy models via REST APIs or batch workflows, with a focus on learning and gradual