Director AI Architect

Birdeye; Singapore; On-site; SGD 150,000 - 200,000; Full time

Job summary

A leading company seeking a Senior AI Architect to design and implement AI/ML solutions in a collaborative environment. The role requires extensive experience in machine learning, cloud platforms, and generative AI technologies. Candidates should have a PhD and a strong background in developing scalable systems for AI applications. Interested candidates are encouraged to apply by sending their resumes.

Qualifications

• 10-15 years in architecting AI/ML solutions.
• Hands-on experience in GenAI architectures.
• Proficiency in Cloud platforms AWS, Azure, GCP.

Responsibilities

• Design scalable ML/DL infrastructure and develop GenAI solutions.
• Evaluate and select appropriate technologies for AI/ML projects.
• Mentor junior team members in best practices and AI advancements.

Skills

AI/Data Science

Machine Learning

Deep Learning

NLP

Cloud computing

CI/CD

Python

R

Education

PhD in Computer Science

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Apache Spark

Hadoop

Kafka

Job description

Director AI ArchitectRole Description: This is a full-time role for a Senior AI Architect at Birdeye.Primary Skills: AI/Data Science, Machine Learning, Deep Learning, Statistics, GenAI/LLM, Natural Language Processing (NLP), Cloud computing(Azure/AWS/GCP), MLOps, CI/CD, kubernetes, Dockers/Containers, Python, RRoles & Responsibilities:- Design and implement scalable, robust and cost-effective ML/DL infrastructure to support end-to-end Machine Learning workflows.- Architect and develop GenAI solutions using the latest techniques such as RAG, transformer architecture, etc. in building meaningful and intricate GenAI solutions- Develop architecture blueprints, technical designs, and implementation plans for AI/ML projects.- Evaluate and select appropriate AI/ML technologies, frameworks, and tools based on project requirements and industry best practices.- Build and maintain Generative AI workflows, including model training or fine-tuning, and establishing feedback loops- Develop and maintain CI/CD pipelines for ML models, ensuring smooth deployment and monitoring in production environments.- Collaborate with Product Managers and stakeholders to understand their business objectives, challenges, and opportunities for leveraging AI/ML technologies.- Provide technical guidance and leadership to cross-functional teams throughout the project lifecycle- Collaborate with data scientists and software engineers to streamline the model development lifecycle, from experimentation to deployment and monitoring.- Implement best practices for version control, testing, and validation of ML models.- Ensure high availability and reliability of ML systems, including performance monitoring and troubleshooting.- Stay current with the latest advancements in AI/ML research, methodologies, and tools, and incorporate them into our solution offerings- Mentor junior team members and guide MLOps best practices and AI advancements.Qualifications:- PhD in Computer Science, Statistics, Software Engineering, or a related technical field- Minimum 10-15 years in architecting, designing, and implementing AI/ML solutions and enterprise applications- Experience in designing and implementing ML infrastructure and MLOps pipelines.- Hands-on experience in GenAI architectures and frameworks such as RAG, vectorization and embeddings, and multi-agent GenAI architecture solutions- Experience working with multiple LLMs including Azure Open AI, LLAMA, Claude, Gemini, etc.- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.- Understanding of ML model lifecycle management, including versioning, monitoring, and retraining.- Uphold ethical standards in AI, focusing on the responsible use of GenAI models, data privacy, security, and ensuring compliance with regulatory requirements like HIPAA, GDPR and CCPA.- Proficiency in Cloud platforms such as AWS, Azure or GCP.- Strong experience with containerization and orchestration tools like Docker and Kubernetes and CI/CD tools like Jenkins- Proficiency in programming languages such as Python, R, SQL- Familiarity with data engineering tools and frameworks like Apache Spark, Hadoop, or Kafka.- Knowledge of data visualization tools and techniques like Tableau, and PowerBI.- Excellent communication and technical documentation skills.- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.Interested candidates, please send their resumes to hidden_emailRegardsIqbal Kaur,

• Job Tags deep learning, kubernetes, python, machine learning, nlp

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