
Hybrid
Full-Time
Gurugram, Haryana
India
Skills
Amazon Web Services (AWS)
Artificial Intelligence (AI)
Microsoft Azure
Python (Programming Language)
Kubernetes
PyTorch
TensorFlow
Generative AI
Deep Learning
Presentation Skills
About the Role
Candidate will work as a AI Architect in the Innovation unit supporting all Client’s Business Units. You will be exposed to hundreds of different enterprise GenAI business use cases and help our clients create value architecting GenAI applications and solutions.
Requirements:
Strong experience in AI system architecture, with a strong background in designing and deploying large-scale AI and Gen AI systems.
Proven expertise in architecting systems for high availability and scalability, including managing applications with peak usage and millions of users.
Extensive experience with cloud platforms (AWS, Azure, GCP) and scaling AI applications using cloud-native tools and services.
Proficient in AI/ML algorithms, deep learning, and the deployment of AI models in production environments.
Strong coding skills in Python, TensorFlow, PyTorch, and other relevant AI technologies.
Experience with distributed systems, microservices architecture, and containerization technologies (e.g., Docker, Kubernetes).
Strong problem-solving skills, with an ability to troubleshoot complex scaling issues under high-load conditions.
Proven ability to lead teams, collaborate with stakeholders, and deliver AI-driven solutions.
Master’s or PhD in Computer Science, AI, or a related field (preferred).
Requirements:
Strong experience in AI system architecture, with a strong background in designing and deploying large-scale AI and Gen AI systems.
Proven expertise in architecting systems for high availability and scalability, including managing applications with peak usage and millions of users.
Extensive experience with cloud platforms (AWS, Azure, GCP) and scaling AI applications using cloud-native tools and services.
Proficient in AI/ML algorithms, deep learning, and the deployment of AI models in production environments.
Strong coding skills in Python, TensorFlow, PyTorch, and other relevant AI technologies.
Experience with distributed systems, microservices architecture, and containerization technologies (e.g., Docker, Kubernetes).
Strong problem-solving skills, with an ability to troubleshoot complex scaling issues under high-load conditions.
Proven ability to lead teams, collaborate with stakeholders, and deliver AI-driven solutions.
Master’s or PhD in Computer Science, AI, or a related field (preferred).
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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