AI Solutions Engineer
Summary
Designs, develops, and deploys large language models and AI solutions to address complex business challenges, collaborating with cross-functional teams for scalable integration. Core stack includes Python, TensorFlow/PyTorch, LLMs, cloud AI services (AWS SageMaker, Vertex AI, Azure ML), and MLOps pipelines with Docker and Kubernetes.
We are seeking a highly skilled AI Solutions Engineer to join our team in Singapore. In this role, you will be responsible for designing, developing, and implementing cutting-edge AI solutions to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI models into real-world applications, ensuring scalability, efficiency, and business impact.
Key Responsibilities
· Design, develop, and deploy large language models (LLMs) to meet business needs.
· Work closely with stakeholders to understand requirements and translate them into AI-driven solutions.
· Optimize and fine-tune existing AI models for performance and scalability.
· Stay updated with the latest advancements in AI, data, and LLM technologies.
· Lead AI projects from concept to deployment, ensuring best practices in data security and ethical AI.
· Provide technical guidance to teams on AI-related initiatives.
· Evaluate and integrate third-party AI tools and frameworks when necessary.
· Document AI models, workflows, and processes for knowledge sharing.
Skills & Qualifications
Must-Have:
· Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related fields.
· 3+ years of hands-on experience in AI/ML model development and deployment.
· Strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
· Experience with NLP, Computer Vision, or Generative AI (e.g., LLMs, GANs).
· Knowledge of cloud AI services (e.g., AWS SageMaker, Google Vertex AI, Azure ML).
· Solid understanding of data preprocessing, feature engineering, and model evaluation.
· Experience with MLOps and AI model deployment pipelines (Docker, Kubernetes, CI/CD).
· Strong problem-solving skills and ability to work in a fast-paced environment.
Good-to-Have:
· Experience in AI consulting or solution architecture.
· Familiarity with data and AI technologies.
· Knowledge of ethical AI and regulatory compliance (e.g., PDPA, GDPR).