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AIML Architect at Nashville TN Onsite

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Title : AI/ML Architect

Location : Nashville TN – Onsite

Duration : Long Term

We are seeking a highly experienced AI/ML Architect to lead the design, development, and implementation of artificial intelligence and machine learning solutions. The ideal candidate will possess a deep understanding of AI/ML frameworks, algorithms, and technologies, coupled with the ability to architect scalable and efficient systems that align with business objectives.

 

Key Responsibilities:

    • Design end-to-end AI/ML systems, including data ingestion, model training, deployment, and monitoring.
    • Develop scalable machine learning pipelines and infrastructure using cloud platforms (AWS, Azure, GCP) and on-premises systems.
    • Ensure seamless integration of AI/ML solutions with existing enterprise architectures and workflows.
    • Provide technical leadership in selecting AI/ML frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
    • Evaluate emerging AI/ML technologies and recommend their adoption where applicable.
    • Establish best practices for model development, training, deployment, and monitoring.
    • Collaborate with stakeholders to define AI/ML strategies that align with organizational goals.
    • Identify and prioritize use cases for AI/ML applications to maximize business impact.
    • Oversee the implementation of AI-driven solutions to address business challenges and opportunities.
    • Work closely with data scientists, engineers, and business analysts to ensure successful delivery of AI/ML projects.
    • Mentor team members on AI/ML best practices, tools, and technologies.
    • Act as a bridge between business and technical teams to translate business requirements into AI/ML solutions.
    • Define AI/ML governance frameworks, ensuring compliance with data privacy and security regulations.
    • Establish protocols for model interpretability, fairness, and ethical AI practices.
    • Ensure robust data validation and quality control processes.
    • Monitor and optimize the performance of deployed AI/ML models and pipelines.
    • Implement feedback loops for continuous model improvement and retraining.
    • Address scalability challenges in real-time AI/ML systems.
  2. Experience:
    • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
    • Proven experience in deploying AI/ML solutions at scale in production environments.
  1. Technical Skills:
    • Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
    • Strong programming skills in Python, R, or Java, and experience with distributed computing (e.g., Spark, Hadoop).
    • Proficiency in cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
    • Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
    • Familiarity with NLP, computer vision, and other advanced AI techniques.
  1. Soft Skills:
    • Excellent problem-solving and analytical abilities.
    • Strong communication skills to convey complex AI/ML concepts to diverse audiences.
    • Leadership capabilities to manage cross-functional teams and projects.
  1.  

Qualifications and Requirements:

  • Education:
    Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. A Ph.D. is a plus.


From:
imran,
Fwdatatech
imran@fwdatatech.com
Reply to:   imran@fwdatatech.com