AI Developer Architect

Key Responsibilities:
AI Solution Design: Design and architect AI solutions that meet business requirements and align with industry best practices.
Development: Develop, test, and deploy AI models and algorithms using programming languages such as Python, R, and Java.
Optimization: Optimize AI models for performance, scalability, and accuracy.
Collaboration: Work closely with data scientists, engineers, and business stakeholders to ensure successful implementation of AI solutions.
Research: Stay updated with the latest advancements in AI and machine learning technologies and incorporate them into projects.
Documentation: Create comprehensive documentation for AI models, algorithms, and systems.
Mentorship: Mentor junior developers and provide technical guidance to the team.

Qualifications:
Education: Bachelors degree in computer science, engineering, or a related field.
Experience: 5-10 years of experience in AI development and architecture.
Technical Skills: Proficiency in programming languages such as Python, R, and Java.
Experience with AI frameworks like TensorFlow, PyTorch, and Keras.
Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets.
Communication: Excellent verbal and written communication skills, with the ability to present findings and recommendations clearly.
Attention to Detail: High level of accuracy and attention to detail in development and documentation.
Team Player: Ability to work collaboratively in a team environment and manage multiple stakeholders.
Preferred Skills:
Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Big Data: Knowledge of big data technologies like Hadoop and Spark.
DevOps: Understanding of DevOps practices and tools for continuous integration and deployment.