ML Engineer: Scale Models & Pipelines (Remote)

Coherent Solutions, Inc.; New York (NY); Híbrido; USD 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Self-education opportunities

Conferences & knowledge sharing

Medical insurance

Fitness activities

Hybrid/Remote options

Referral program

Descripción de la vacante

Coherent Solutions is seeking a junior ML engineer to collaborate with senior engineers on internal ML projects, combining structured learning with hands-on delivery and growing ownership. You will work with Python, pandas, NumPy, and scikit-learn to build models, validate data, and document decisions, while developing reproducible ML pipelines and REST API integrations.

The role offers flexible work options with remote and hybrid opportunities, and the global benefits package supports ongoing

Formación

• 1+ year of hands-on Python development experience with pandas, NumPy, scikit-learn, and Jupyter.
• Strong foundation in statistics, probability, and linear algebra, plus exploratory data analysis skills.
• An understanding of supervised and unsupervised learning, and practical experience with regression, classification, clustering, dimensionality reduction, and anomaly detection.
• Experience preparing structured datasets, including cleaning, transformation, encoding, scaling, and missing-value handling, plus practical feature engineering and feature-selection skills.
• An understanding of train/validation/test splits, cross-validation, data leakage, overfitting, and regularization; the ability to select appropriate evaluation metrics, compare models, and perform error analysis.
• Familiarity with hyperparameter tuning and reproducible ML pipelines
• SQL skills for data extraction and analysis
• The ability to expose models through REST APIs or batch-processing workflows
• Familiarity with Git, automated testing, Docker, and basic model monitoring
• The ability to explain model behavior, assumptions, limitations, and results
• English at B2 level or higher

Responsabilidades

• Prepare and validate structured datasets for ML tasks, including cleaning, transformation, encoding, scaling, and missing-value handling
• Conduct exploratory data analysis to identify patterns, data quality issues, and opportunities for modeling
• 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 model parameters, and evaluate results using appropriate validation approaches and metrics
• Help maintain reproducible ML pipelines, notebooks, experiment tracking, and technical documentation
• Write and maintain automated tests for data and model-related code
• Support the delivery of models through REST APIs or batch-processing workflows
• Document model assumptions, results, limitations, and technical decisions
• Work closely with senior engineers, incorporate feedback, and gradually take ownership of more complex tasks

Conocimientos

Python

Statistics & ML

EDA

ML Modeling

Feature Engineering

Model Evaluation

Experiment Tracking

SQL

REST APIs

Git & Testing

Docker

English B2+

Herramientas

Pandas

NumPy

scikit-learn

Jupyter

SQL

Docker

Git

MLflow

REST APIs

Descripción del empleo

Coherent Solutions is seeking a junior ML engineer to collaborate with senior engineers on internal ML projects, combining structured learning with hands-on delivery and growing ownership. You will work with Python, pandas, NumPy, and scikit-learn to build models, validate data, and document decisions, while developing reproducible ML pipelines and REST API integrations.

The role offers flexible work options with remote and hybrid opportunities, and the global benefits package supports ongoing