Key Responsibilities:
- Design and architect AI systems leveraging machine learning, deep learning, and NLP technologies.
- Collaborate with data scientists, engineers, and business stakeholders to define AI project goals and deliverables.
- Lead the end-to-end development lifecycle of AI models—from data collection and training to deployment and monitoring.
- Implement and optimize AI algorithms for performance, scalability, and accuracy.
- Ensure best practices in AI solution architecture, coding standards, and cloud deployment.
- Utilize cloud platforms (AWS, Azure, Google Cloud) for AI model training, inference, and integration.
- Provide technical leadership and mentorship to engineering teams on AI/ML tools, frameworks, and deployment methodologies.
- Stay updated on emerging AI technologies, tools, and industry trends to guide innovation.
Qualifications and Requirements:
- Strong working knowledge of machine learning, deep learning, and NLP techniques.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with cloud computing platforms like AWS, Azure, or Google Cloud.
- Proven ability to design and deploy AI models into production environments.
- Strong problem-solving skills and ability to translate business needs into technical solutions.
- Excellent communication and leadership abilities.
