MLOps Engineer

Role description Job Title - MLOps Engineer Location - Charlotte NC Technical Expertise ML/Al Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, LangChain, LangGraph, Llamalndex, DSPy, ONNX Runtime, TensorRT GenAl & LLMs: GPT-4/Claude API, LoRA/QLoRA fine-tuning, RAG (FAISS, Pinecone, ChromaDB), prompt engineering, agentic orchestration Languages: Python, C/C++, Java, SQL, Scala, GoLang, JavaScript Cloud & Infra: AWS (SageMaker, S3, Lambda), GCP (GKE, Vertex Al, BigQuery), Kubernetes, Terraform, Docker Databases: PostgreSQL, MySQL, MongoDB, Neo4j, BigQuery, Pinecone, ChromaDB, Redis Libraries: Pandas, NumPy, Scikit-learn, OpenCV, Keras, Spark, Kafka Dev Tools: Linux, Git, Docker, Kubernetes, Jenkins Experience Required • Experience building production Al/ML systems at scale • Deploying real-time ML inference pipelines processing millions of records at high throughput Experience building end to end automated MLOps capabilities along with model and feature drift monitoring • Experience with event-driven and streaming platforms such as Apache Kafka, Other details Salary range $63000 to $134500 Show more Show less