Machine Learning Engineer

About the Role

Join Data Eminence as a remote Machine Learning Engineer to develop intelligent, data-driven solutions. This role offers hands-on experience with real-world datasets, predictive modeling, machine learning pipelines, AI technologies, and software integration, working through the complete machine learning lifecycle.

Key Responsibilities

• Collect, clean, preprocess, and analyze datasets.
• Develop and implement machine learning models for classification, regression, clustering, and prediction.
• Apply supervised and unsupervised learning techniques.
• Perform feature engineering, feature selection, and data transformation.
• Train, validate, and evaluate models using appropriate performance metrics.
• Experiment with different algorithms, architectures, and hyperparameters.
• Develop reusable machine learning pipelines and workflows.
• Work with Python libraries and machine learning frameworks.
• Analyze model performance and identify opportunities for improvement.
• Integrate trained models into backend applications and REST APIs.
• Assist with deploying machine learning models into production environments.
• Monitor model performance, accuracy, and data quality.
• Document experiments, model configurations, and technical implementations.
• Collaborate with software engineers to integrate AI-powered functionality into applications.
• Research emerging machine learning, deep learning, and generative AI technologies.
• Follow responsible AI practices, including data privacy, bias awareness, and model reliability.

Requirements & Tech Stack

• Strong programming skills in Python.
• Familiarity with NumPy, Pandas, and Scikit-learn.
• Understanding of machine learning algorithms and fundamental concepts.
• Knowledge of supervised and unsupervised learning techniques.
• Basic understanding of statistics, probability, and linear algebra.
• Understanding of data preprocessing and feature engineering.
• Familiarity with model evaluation metrics and validation techniques.
• Basic knowledge of SQL and databases.
• Familiarity with Git and GitHub.
• Knowledge of TensorFlow or PyTorch is a plus.
• Knowledge of REST APIs, Docker, or cloud deployment is an advantage.
• Strong analytical, problem-solving, and debugging skills.
• Good communication and teamwork abilities.
• Ability to work independently and collaborate effectively in a remote environment.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related field.