AI/ML Architect

About the job AI/ML Architect Job Title: AI/ML Architect Location: Nashville TN Day1, Onsite Duration: Long Term $70 per hour Job Description: Position Summary: As an AI/ML Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient AI/ML solutions for our diverse range of projects. The successful candidate will be responsible for understanding business requirements, defining architecture, and leading the development of AI/ML models that drive innovation and enhance business outcomes. Responsibilities • Collaborate with cross-functional teams to understand business objectives and requirements. • Design end-to-end AI/ML architectures that align with business goals and scalability requirements. • Evaluate and select appropriate technologies and frameworks for implementation. • Lead the development and implementation of state-of-the-art AI/ML models. • Utilize Python and other relevant tools to build and optimize machine learning algorithms. • Ensure models are accurate, efficient, and scalable for deployment in production environments. • Work closely with data engineers to ensure the availability of high-quality, clean, and relevant data. • Develop and implement data pre-processing and feature engineering pipelines. • Implement monitoring systems to track the performance of deployed models. • Identify opportunities for optimization and improvement in model accuracy and efficiency. • Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. • Document architecture, design decisions, and code to ensure knowledge transfer and maintainability. Qualifications: • Master's or Ph.D. in Computer Science, Data Science, or related field. • Proven experience as an AI/ML Architect with a focus on Python-based solutions. • Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. • Experience with designing and implementing end-to-end machine learning pipelines. • Proficiency in data processing, feature engineering, and model deployment. • Excellent communication skills and the ability to collaborate effectively with cross-functional teams. • Demonstrated problem-solving and critical-thinking skills. Preferred Skills • Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Knowledge of containerization technologies (Docker, Kubernetes). • Familiarity with deep learning techniques and frameworks. • Previous experience in industries such as healthcare, finance, or manufacturing is a plus.