AI / Machine Learning Engineer

We are seeking a skilled AI / Machine Learning Engineer to design, develop, and deploy machine learning models that power intelligent applications and data-driven products. The ideal candidate will have experience building scalable ML solutions and working with large datasets to solve real-world problems.

This role involves collaboration with data scientists, software engineers, and product teams to deliver production-ready AI systems.

Candidates with OPT, OPT-EAD, or H1B work authorization are welcome to apply.

Key Responsibilities

• Design and develop machine learning models and AI-driven solutions.
• Build, train, test, and deploy ML models into production environments.
• Work with large datasets to develop predictive models and algorithms.
• Implement data preprocessing, feature engineering, and model optimization.
• Develop scalable AI pipelines using modern frameworks and tools.
• Collaborate with cross-functional teams to integrate AI solutions into applications.
• Monitor model performance and continuously improve model accuracy.
• Stay updated with the latest advancements in AI and machine learning technologies.

Required Skills

• Strong experience with Python and machine learning libraries.
• Experience with TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of machine learning algorithms and deep learning techniques.
• Experience working with data processing and model training pipelines.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with data analysis tools and large datasets.

Preferred Qualifications

• Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Experience with NLP, computer vision, or generative AI models.
• Knowledge of MLOps, Docker, Kubernetes, or CI/CD pipelines.
• Experience deploying machine learning models in production environments.

Job Type: Full-time

Pay: Up to $125,661.76 per year

Benefits

• 401(k)
• Dental insurance
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Retirement plan
• Vision insurance

Work Location: In person