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AI/ML Architect with .Net
2 months ago
Job Title: AI/ML Architect with .Net
Location: Nashville TN/ Tampa FL
Duration: Long Term
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 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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