AI/ML Architect

2 weeks ago

Nashville, United States Kanini Full time

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 preprocessing 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.

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