• Strong knowledge of Machine Learning, including supervised and unsupervised learning
• Experience in classification, regression and clustering
• Strong experience with TensorFlow, PyTorch and/or Scikit-learn
• Hands-on experience with LLMs such as GPT/Claude
• Strong knowledge of Prompt Engineering and RAG
• Experience with vector databases such as Pinecone, FAISS or Weaviate
• Experience developing AI chatbots and document-processing solutions
• Strong Python and REST API development skills
• Experience handling large datasets, preferably healthcare/genomics data
• Hands-on experience with AWS SageMaker, Bedrock, Lambda, S3 and IAM
• Experience deploying, monitoring and scaling AI/ML models
• Knowledge of MLOps, Docker and CI/CD
• Experience with Microservices, API-first architecture and SQL/NoSQL
• Good knowledge of .NET / ASP.NET Core / Web APIs
• Healthcare, licensing or insurance domain experience is an advantage
• Machine Learning: classification, regression, clustering
• TensorFlow, PyTorch and/or Scikit-learn
• LLMs, prompt engineering and RAG
• Vector databases: Pinecone, FAISS, Weaviate
• AI chatbots and document processing
• Strong Python + REST API
• AWS: SageMaker, Bedrock, Lambda, S3, IAM
• AI/ML deployment, monitoring and scaling
• MLOps, Docker, CI/CD
• Microservices, SQL/NoSQL and .NET APIs
• Healthcare/genomics experience is a plus
Qualified applicants may submit their updated CV with latest photo at [email protected], with the subject line: AI Intergration Developer
Kindly indicate the expected salary