AI/ML Engineer
Shaik SafreenUnited StatesSENIORPosted 12d ago
PythonPyTorchTensorFlowHugging Face TransformersLangChainLlamaIndexNLPSemantic SearchEmbeddingsMLflowKubeflowAirflowDockerKubernetesCI/CDKnowledge GraphsNeo4jRDFOWLGraph MLLLMsRAGPrompt EngineeringAgentic AIAWSAzureGCP
About the Role
We are seeking an AI/ML Engineer to design, build, and deploy cutting-edge AI solutions that drive real business impact.
Key Responsibilities
• Design advanced ML models across NLP, predictive modeling, optimization, and statistical learning
• Build and manage end-to-end MLOps pipelines including training, deployment, monitoring, and CI/CD
• Develop Knowledge Graph-driven AI systems using Neo4j, RDF/OWL, graph embeddings, and reasoning frameworks
• Fine-tune and deploy LLMs for RAG, classification, summarization, and agentic AI workflows
• Collaborate with engineering and business teams to deliver production-ready AI solutions
Requirements
• Python
• PyTorch and/or TensorFlow
• Hugging Face Transformers
• LangChain / LlamaIndex
• NLP, Semantic Search, Embeddings
• MLflow, Kubeflow, Airflow
• Docker, Kubernetes, CI/CD
• Knowledge Graphs (Neo4j, RDF, OWL, Graph ML)
• LLMs, RAG, Prompt Engineering, Agentic AI
• AWS, Azure, or GCP
Preferred
• Masters or PhD in AI, ML, Data Science, Computer Science, or related field
• Healthcare Insurance / Managed Care domain experience
• Vector Databases, Explainable AI, Responsible AI