Machine Learning Engineer (100% Remote Direct Hire Fortune 100Co)

Job Summary:

Machine Learning Engineer

Key Responsibilities:

• Design, develop, and deploy machine learning models for real-world applications
• Collaborate with cross-functional teams to understand business problems and translate them into ML tasks
• Perform data preprocessing, feature engineering, and exploratory data analysis
• Train, validate, and fine-tune ML models using libraries such as Scikit-learn, TensorFlow, or PyTorch
• Package and deploy models via APIs or within production systems
• Monitor model performance and implement improvements over time
• Document experiments, models, and processes clearly and thoroughly

Required Qualifications:

• 2–3 years of experience in machine learning or applied data science roles
• Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch
• Strong understanding of supervised and unsupervised learning algorithms
• Experience working with data manipulation tools like Pandas and NumPy
• Familiarity with SQL and working with relational or NoSQL databases
• Basic knowledge of version control (e.g., Git) and software development best practices
• Understanding of ML lifecycle and model deployment

Preferred Qualifications:

• Experience deploying models in cloud environments (AWS, GCP, Azure)
• Familiarity with ML pipeline tools like MLflow, Kubeflow, or Airflow
• Exposure to NLP, computer vision, or time series forecasting is a plus
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field

Benefits:

• Competitive salary and performance-based bonus
• Health, dental, and vision insurance
• Paid time off and holidays
• 401(k) with company match
• Training budget and opportunities for career growth