Description:

Lead a team of machine learning engineers to develop and deploy cutting-edge machine learning models and systems.
Design, develop, and deploy machine learning algorithms to solve complex business problems and drive insights.
Collect, clean, and preprocess data to ensure data quality for training machine learning models.
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 and reliability.
Monitor and maintain model performance, 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.
7+ years of experience in machine learning engineering with a track record of developing and deploying models.
Leadership experience in leading machine learning teams and driving impactful results.
Proficiency in Python, Java, or Scala, and experience with TensorFlow, PyTorch, or scikit-learn.
Strong understanding of machine learning algorithms, cloud platforms, and big data technologies.
Problem-solving abilities and critical thinking skills with a passion for complex challenges.
Excellent communication and collaboration skills.

Competitive salary ranging from $190,000 to $270,000 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 including training programs and conferences.
State-of-the-art technology environment with cutting-edge tools.
Vibrant and inclusive company culture with growth opportunities.
Exciting projects with real-world impact in machine learning innovation.