AI Architect

Job Description:

AI Architect is a technical leader responsible for designing, building, and maintaining scalable, high-performing machine learning (ML) systems. This role bridges the gap between business needs and technical feasibility, ensuring ML initiatives align with overall company strategy.

Responsibilities:

• Design and develop the architecture for ML platforms and solutions.

• Select and implement appropriate ML algorithms and tools based on business requirements and data characteristics.

• Collaborate with data scientists, data engineers, and software engineers to ensure successful integration of ML models into production systems.

• Oversee data pipelines and ensure data quality for training and deploying ML models.

• Monitor and evaluate the performance of ML models, identifying opportunities for improvement and retraining.

• Stay up-to-date on the latest advancements in ML research and best practices.

• Develop and implement strategies for managing model bias and ensuring ethical use of AI.

• Communicate complex technical concepts to both technical and non-technical stakeholders.

• Mentor and guide junior team members on ML architecture best practices.

Qualifications:

• Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).

• Strong understanding of machine learning concepts, algorithms, and frameworks.

• Experience designing and developing scalable, distributed systems.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Excellent communication and collaboration skills.

• Proven ability to translate business goals into technical requirements.

• Experience working in an Agile development environment is a plus.

Tools and Technologies (possible, depending on the company):

• Python (Scikit-learn, TensorFlow, PyTorch).

• Machine Learning Platforms (AWS SageMaker, Azure Machine Learning, Google AI Platform).

• Cloud Computing Technologies (AWS, Azure, GCP).

• Docker, Kubernetes.

• DevOps Tools (Git, Jenkins, CI/CD pipelines).