Onsite: Sr Principal AI Architect

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.