Remote Senior Machine Learning Engineer

Description:

• Develop and deploy machine learning models and algorithms to solve complex business problems and drive insights.
• Collect, clean, and preprocess data from various sources for training machine learning models.
• Identify and engineer relevant features from raw data to enhance model performance.
• Train and evaluate machine learning models using appropriate techniques and metrics.
• Deploy models into production environments, ensuring scalability, reliability, and performance.
• Monitor and maintain the performance of deployed models, addressing issues as they arise.
• Collaborate with cross-functional teams to understand business requirements and deliver solutions.
• Document methodologies, assumptions, and findings, promoting best practices in machine learning development.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
• 5+ years of experience in machine learning engineering, with a proven track record of developing and deploying models.
• Proficiency in Python, Java, or Scala, and experience with TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of machine learning algorithms, including deep learning and reinforcement learning.
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Strong problem-solving abilities and critical thinking skills.
• Excellent communication and collaboration skills.

Benefits:

• Competitive salary ranging from $170,000 to $250,000 per year.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous vacation and paid time off.
• Professional development opportunities.
• State-of-the-art technology environment.
• Vibrant and inclusive company culture.
• Exciting projects with real-world impact.