Job Summary:
We are seeking a highly skilled Full Stack AI Architect to join our dynamic team. The ideal candidate will possess a robust understanding of AI and machine learning (ML) implementation, with a strong focus on algorithms, neural networks, and relevant frameworks. This role requires a hands-on expert-level coding proficiency in Python or Java, enabling the candidate to design, develop, and deploy innovative AI solutions that meet our clients'' needs.
Responsibilities:
• Design and implement AI/ML models and algorithms to solve complex business problems.
• Develop and maintain scalable and efficient codebases using Python or Java.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Conduct research and stay updated on the latest AI ML trends, tools, and technologies.
• Optimize existing AI models and algorithms for performance and scalability.
• Provide technical leadership and mentorship to junior team members.
• Ensure best practices in coding, testing, and deployment of AI solutions.
• Participate in code reviews and contribute to the continuous improvement of development processes.
Mandatory Skills:
• Strong expertise in AI/ML implementation, including supervised, unsupervised, and reinforcement learning.
• Deep knowledge of neural networks and their applications.
• Proficiency in frameworks such as TensorFlow, PyTorch, or Keras.
• Expert-level coding skills in Python or Java.
• Solid understanding of data structures, algorithms, and software design principles.
Years of Experience:
• Must have working hands-on experience of 5 years working as an AI Architect
• Must have worked in telecom domain.
Preferred Skills:
• Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI solutions.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Knowledge of big data technologies (Hadoop, Spark) and data processing frameworks.
• Experience in developing APIs and microservices for AI applications.
• Strong problem-solving skills and the ability to work in a fast-paced environment.
Qualifications:
• Bachelor''s or Master''s degree in Computer Science, Data Science, or a related field.
• Proven track record of successful AI/ML project implementations.
• Strong communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a team-oriented environment.
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