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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).
Job ID: 153351981
Skills:
Java, MLops, Python, Etl, Generative AI, RAG, Lang-Chain
Skills:
Azure, Python, AWS