AI/ML Engineer (MLops)
Quick Overview
Job Description
AI/ML Engineer (MLOps)
Iselin, NJ
12 months
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), Google Cloud Platform (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,
Education : At least a bachelor s degree (or equivalent experience) in Computer Science, Software Engineering, Electronics Engineering, Information Systems, or a closely related field is required for the project
Skills
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