AI Integration Specialist

Build, fine-tune, and deploy ML/DL models (Classification, Regression, Clustering) using TensorFlow, PyTorch, and Scikit-learn. Implement production-grade RAG architectures, vector databases (Pinecone, FAISS, Weaviate), and LLM integrations (GPT, Claude). Architect cloud-native AI pipelines utilizing AWS SageMaker, AWS NextFlow, AWS Bedrock, Lambda, S3, and IAM. Design RESTful APIs and integrate backend services within .NET/ASP.NET Core enterprise environments. Clean, normalize, and process large structured/unstructured healthcare and genomic datasets.

Experience

Minimum of 3+ years of experience

Education

Bachelors degree in information technology, Computer Science, Artificial Intelligence, or a related field Core Technologies: TensorFlow, PyTorch, Python, Scikit-learn, AWS Ecosystem (SageMaker, Bedrock, NextFlow), Vector DBs. Integration Capabilities: ASP.NET Core, RESTful APIs, Microservices, SQL/NoSQL, Git, Docker, MLOps. Domain Knowledge: Experience with healthcare, genomics, or large-scale clinical dataset workflows is highly preferred. Strong communication skills to articulate AI solutions to both technical and non technical stakeholders.