Machine Learning Engineer

Location: San Francisco, CA, USA (Hybrid/Remote)

Job Type: Full-Time

About the Role

We are seeking an innovative Machine Learning Engineer to design, develop, and deploy machine learning models that solve real-world business challenges. You will collaborate with data scientists, software engineers, and product teams to build scalable AI-powered solutions.

Key Responsibilities

• Design, train, and deploy machine learning models.
• Build data preprocessing and feature engineering pipelines.
• Optimize model performance and accuracy.
• Deploy ML models into production environments.
• Collaborate with Data Scientists and Software Engineers.
• Monitor model performance and retrain models when needed.
• Maintain documentation for ML workflows.
• Research and implement new machine learning techniques.

Required Qualifications

• Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong Python programming skills.
• Knowledge of Machine Learning algorithms.
• Understanding of statistics and data structures.
• Excellent analytical and problem-solving skills.

Preferred Skills

• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Pandas
• NumPy
• MLflow
• AWS
• Docker
• Kubernetes
• SQL
• Git

Benefits

• Health Insurance
• Paid Time Off
• Flexible Work Schedule
• Learning & Development
• 401(k)
• Career Growth Opportunities