13 hours ago
Remote, MoldovaEntry Level

Responsibilities

  • Prepare, clean, transform, encode, scale, and validate structured datasets for machine learning tasks.
  • Conduct exploratory data analysis and identify data quality issues and modeling opportunities.
  • Build, test, compare, and evaluate supervised and unsupervised machine learning models.
  • Develop and select features, tune model parameters, perform error analysis, and apply appropriate validation and metrics.
  • Maintain reproducible ML pipelines, notebooks, experiment tracking, technical documentation, and automated tests.
  • Support model delivery through REST APIs or batch-processing workflows.
  • Document model assumptions, results, limitations, and technical decisions.
  • Collaborate with senior engineers, incorporate feedback, and gradually take ownership of more complex tasks.

Requirements

  • At least 1 year of hands-on Python development experience with pandas, NumPy, scikit-learn, and Jupyter.
  • Strong foundations in statistics, probability, and linear algebra, with exploratory data analysis skills.
  • Practical understanding of regression, classification, clustering, dimensionality reduction, anomaly detection, feature engineering, and feature selection.
  • Understanding of train/validation/test splits, cross-validation, data leakage, overfitting, regularization, model comparison, evaluation metrics, and error analysis.
  • Familiarity with hyperparameter tuning, reproducible ML pipelines, SQL, Git, automated testing, Docker, and basic model monitoring.
  • Ability to expose models through REST APIs or batch-processing workflows and explain model behavior, assumptions, limitations, and results.
  • English proficiency at B2 level or higher.
  • Preferred experience includes XGBoost, time-series analysis, recommendation systems, MLflow, model interpretability, cloud services, production ML monitoring, GenAI, LLMs, RAG, prompt engineering, or agent development.

Benefits

  • Technical and non-technical training, internal conferences, and meetups for professional growth.
  • Mentorship and support from experienced employees.
  • Health insurance and sports activities.
  • Flexible remote and hybrid work options.
  • Referral program, work anniversary program, and additional vacation days.

Tech Stack

DockerFastAPIGitLightGBMMLflowNumPyPandaspytestPythonscikit-learnSQLXGBoost

Categories

Coherent Solutions

About Coherent Solutions

1,001-5,000 employees

Coherent Solutions is a leading global digital engineering company headquartered in Minneapolis, Minnesota, with over 1700+ software engineers and designers in 9 countries. We help brands transform their strategic vision into digital value. Through scalable collaboration, deep technical fluency,
and strategic co-creation, we drive technical progress that creates enterprise value at every growth milestone. Recognized by Software 500, Fast 50, Inc. 5000, and Clutch Top 100, our tech ecosystem partners include Microsoft, AWS, Databricks, Snowflake, OpenAI, and Anthropic. Coherent Solutions in figures: •‎ 30+ years in business •‎ 1000+ projects completed •‎ 95% client retention Schedule a conversation on https://www.coherentsolutions.com

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