Job Description: AI/ML Architect
Location
- Alpharetta, GA
- Dallas, TX
- New Jersey
Job Type
- Full Time
Position Overview
As an AI Architect, you will be responsible for designing, developing, and implementing AI solutions that drive business transformation and enhance customer experiences. You will collaborate with cross-functional teams to leverage machine learning, deep learning, and natural language processing technologies, with the aim of developing scalable AI systems that integrate seamlessly into existing platforms.
Key Responsibilities
- Design and architect AI solutions that align with business goals and industry trends.
- Collaborate with data scientists, engineers, and stakeholders to define project objectives and success metrics.
- Evaluate and select appropriate AI tools and frameworks to support development.
- Develop and optimize AI models, ensuring high accuracy and functionality.
- Integrate AI solutions into product workflows, providing support and documentation for users.
- Monitor and maintain AI systems, ensuring performance and scalability.
- Stay current with AI advancements and emerging technologies, applying insights to enhance solutions.
- Communicate complex AI concepts clearly to non-technical stakeholders.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- Proven experience as an AI Architect or in a similar role, with a strong portfolio of AI solutions.
- Expertise in machine learning, deep learning, and natural language processing.
- Proficiency in programming languages such as Python, Java, or R.
- Strong understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with cloud computing platforms (AWS, Azure, Google Cloud).
Job Highlights
- Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s
- Responsibilities:
- Designing, developing, and implementing AI solutions to transform business and improve customer experience.
- Collaborating with cross-functional teams for scalable AI system development.
- Designing AI solutions aligned with industry trends.
- Defining project objectives and success metrics.
- Selecting AI tools and frameworks.
- Developing, optimizing, and integrating AI models.
- Supporting and documenting AI system workflows.
- Monitoring system performance and scalability.
- Staying updated with AI advancements.
- Communicating complex AI concepts to non-technical stakeholders.