Machine Learning Engineer

Join Data Eminence as a remote Machine Learning Engineer and help develop intelligent systems that solve real-world problems. You'll work with data, machine learning models, algorithms, and deployment tools to build practical AI solutions. Ideal for entry-level candidates with strong Python and machine learning fundamentals.

Full Description

Data Eminence is seeking a motivated Machine Learning Engineer to join our growing AI and data team. In this role, you will support the development, training, evaluation, and deployment of machine learning models.

You will collaborate with data scientists, software engineers, and product teams to transform business requirements and datasets into useful machine learning solutions.

Your key responsibilities will include:

• Preparing and preprocessing datasets for machine learning
• Developing and training machine learning models
• Evaluating model performance and accuracy
• Implementing machine learning algorithms and workflows
• Performing exploratory data analysis
• Feature engineering and data transformation
• Writing Python code for machine learning applications
• Integrating trained models into software applications
• Monitoring and improving model performance
• Documenting experiments, models, and results
• Collaborating with data scientists and software engineers
• Researching new machine learning techniques and technologies

We believe in learning by doing. You'll gain hands-on experience with Python, NumPy, Pandas, scikit-learn, PyTorch or TensorFlow, Jupyter, REST APIs, Git, and cloud-based machine learning platforms.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• 0-2 years of experience in machine learning or a relevant internship
• Strong Python programming skills
• Good understanding of machine learning fundamentals
• Familiarity with supervised and unsupervised learning
• Understanding of statistics and probability
• Familiarity with NumPy, Pandas, and scikit-learn
• Exposure to PyTorch or TensorFlow is a plus
• Basic understanding of data preprocessing and model evaluation
• Familiarity with SQL is beneficial
• Strong analytical and problem-solving skills
• Ability to learn new technologies quickly
• Ability to work independently in a remote environment

Benefits

• Competitive salary
• Fully remote work flexibility
• Paid time off and holidays
• Professional development opportunities
• Company-provided equipment
• Opportunities to work with modern AI and machine learning technologies