AI / Machine Learning Engineer

We are looking for a highly skilled AI / Machine Learning Engineer to develop and deploy machine learning models for various applications, including natural language processing (NLP), image recognition, and predictive analytics. This contract position offers the opportunity to work with some of the latest AI technologies in a collaborative, innovative environment. About the Role This position is remote (US-based) and has a duration of 6-12 months, with the possibility of extension. The hourly rate is competitive based on experience. Responsibilities • Design, develop, and implement machine learning models and algorithms to solve complex business problems. • Collaborate with data engineers to build and optimize data pipelines for model training and deployment. • Work with data scientists and business stakeholders to understand and define model requirements. • Ensure that models are scalable, maintainable, and robust for production use. • Monitor and improve model performance over time, iterating based on feedback and new data. Qualifications • Strong experience in Python, with a focus on machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. • Proven ability to build machine learning models for various use cases (e.g., NLP, computer vision, predictive analytics). • Familiarity with cloud AI platforms like AWS SageMaker, Azure Machine Learning, or Google AI. • Solid understanding of machine learning algorithms, deep learning, and reinforcement learning. • Experience with data preprocessing, feature engineering, and model evaluation. Required Skills • Strong experience in Python, with a focus on machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. • Proven ability to build machine learning models for various use cases (e.g., NLP, computer vision, predictive analytics). • Familiarity with cloud AI platforms like AWS SageMaker, Azure Machine Learning, or Google AI. • Solid understanding of machine learning algorithms, deep learning, and reinforcement learning. • Experience with data preprocessing, feature engineering, and model evaluation. Preferred Skills • Experience working with large datasets using tools like Hadoop, Spark, or Kafka. • Familiarity with Docker, Kubernetes, and CI/CD pipelines for AI deployment. • Advanced degree (Master's/PhD) in Computer Science, Engineering, or related field. Pay range and compensation package Hourly Rate: Competitive based on experience. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. How to Apply If you’re passionate about AI and machine learning, and you have experience deploying models in real-world applications, we’d love to hear from you. Please submit your resume, along with a brief description of relevant projects you’ve worked on in AI/ML.