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.