About the role

AI summarised

This is a Forward Deployed AI Engineer role at a technology company, focusing on deploying and customizing AI solutions for clients. The engineer will work on-site with clients to understand their needs, design and implement AI models, and ensure successful integration into production systems.

BusinessFull-timeTechnology and Engineering

Key Responsibilities

Work directly with clients to understand their business problems and identify opportunities where AI can drive value.
Design, develop, and deploy machine learning models and AI solutions tailored to client needs.
Integrate AI solutions into client production systems and ensure scalability and reliability.
Collaborate with cross-functional teams including product, engineering, and research to improve AI capabilities.
Conduct data analysis and feature engineering to prepare data for modeling.
Monitor and maintain deployed models, iterating on performance and accuracy.
Communicate technical concepts and results to non-technical stakeholders effectively.
Contribute to internal tools and frameworks to accelerate deployment of AI solutions.

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
Strong programming skills in Python and experience with machine learning frameworks (e.g., PyTorch, TensorFlow).
Hands-on experience with deploying machine learning models in production environments.
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Solid understanding of machine learning concepts including deep learning, NLP, and computer vision.
Experience with large language models (LLMs) and retrieval-augmented generation (RAG) is a plus.
Excellent problem-solving skills and ability to work in a fast-paced, client-facing environment.
Strong communication and interpersonal skills to interact with clients and team members.
Willingness to travel frequently to client sites.