Description

You will design and implement secure, enterprise-scale AI solutions supporting hundreds of concurrent users.

Responsibilities

• Design and execute scalable AI architectures that integrate into existing enterprise systems.
• Lead AI project deployments from planning through execution to ensure quality and timely delivery.
• Optimize AI models for performance, scalability, and system integration.
• Collaborate with data scientists, engineers, and business leaders to translate requirements into technical solutions.
• Manage complex AI projects, including planning, execution, and monitoring.

Required Skills

• 8+ years of experience designing and deploying enterprise-scale AI models with automated MLOps.
• Expertise in AI architecture, pipeline planning, and managing data governance and production workflows.
• Proficiency in Python, R, Java, and C++.
• Hands-on experience with TensorFlow, PyTorch, and Keras.
• Strong knowledge of DevOps workflows using Git, Docker, and Kubernetes.
• Experience with CI/CD pipelines and containerization.
• Proficiency in SQL and NoSQL databases.
• Competency in AWS, Google Cloud, or Azure platforms.
• Graduate degree in Computer Science or an engineering discipline.

Preferred Skills

• Experience with advanced analytics tools such as SAS.
• Deep understanding of machine learning techniques like random forests and neural networks.

Key Skills

Education

Any Gradute