MLOps Engineer
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Role descriptionJob Title - MLOps EngineerLocation - Charlotte NCTechnical ExpertiseML/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, JavaScriptCloud & 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, JenkinsExperience Required• Experience building production Al/ML systems at scale• Deploying real-time ML inference pipelines processing millions of records at high throughputExperience 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 detailsSalary range $63000 to $134500