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AI/ML Engineer (MLops)

iTech US, Inc.Woodbridge Township, NJ🇺🇸United StatesPosted 16 Jul 2026

Why This Role Stands Out

This hybrid AI/ML Engineer role offers a fantastic opportunity to build and deploy cutting-edge ML systems at scale, working with advanced frameworks and cloud technologies. You'll thrive here if you have a strong background in production ML systems and MLOps, and you're eager to contribute to impactful projects within a dynamic tech environment. This is an excellent chance to advance your career and hone your skills in a highly sought-after field.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

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

Docker
MongoDB
MySQL
Neo4j
SQL
Scala
AWS
MLOps
NumPy
OpenCV
Scikit-learn
Apache
BigQuery
C++
GPT
Git
Go
Google Cloud
Java
JavaScript
Jenkins
Kafka
Keras
Kubernetes
Pandas
PostgreSQL
PyTorch
Python
Redis
TensorFlow
Terraform

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