Jobs in US – AI/ML Engineer

DigitalXNode

United States

Remote

USD 120,000 - 160,000

Full time

14 days+

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Job summary

DigitalXNode in the United States seeks an experienced AI/ML Engineer to build scalable, production-ready AI and ML solutions. You will design end-to-end systems, develop AI-powered applications, and integrate enterprise AI into existing platforms.

The role covers ML pipelines, LLMs, NLP, computer vision, and AI automation. You will collaborate with data, cloud, and software teams, apply MLOps best practices, monitor models, and iterate to improve accuracy and efficiency, while delivering robust

Qualifications

Experience building production-grade ML systems.
Strong proficiency in Python and ML frameworks.
Familiarity with ML Ops and model deployment.

Responsibilities

Design end-to-end AI/ML systems for production.
Develop AI-powered applications and pipelines.
Implement LLMs, NLP, and CV capabilities.
Collaborate with data, cloud, and software teams.
Monitor model performance and iterate for improvement.

Skills

Python

Deep Learning

Machine Learning

NLP

Computer Vision

LLMs

Education

Bachelor's degree in CS or related field

Master's degree preferred

Tools

TensorFlow

PyTorch

Scikit-learn

OpenAI API

Azure ML

Job description

AI/ML Engineer Jobs in US | Artificial Intelligence & Machine Learning Engineer

We are looking for an experienced AI/ML Engineer to build intelligent, scalable, and production-ready Artificial Intelligence and Machine Learning solutions. The ideal candidate will have expertise in machine learning, deep learning, generative AI, large language models (LLMs), computer vision, natural language processing (NLP), and AI automation.

As an AI/ML Engineer, you will design end-to-end AI systems, develop intelligent automation workflows, build AI-powered applications, and integrate enterprise AI solutions into existing business platforms. This role is ideal for professionals looking for AI/ML Engineer Jobs in US (Remote) with exposure to modern AI technologies, cloud AI platforms, and production-scale machine learning deployments.

Key Responsibilities

Develop and manage robust AI and Machine Learning applications, ensuring they are scalable, efficient, and optimized for production environments.
Build intelligent AI applications using Machine Learning, Deep Learning, and Generative AI technologies.
Develop production-ready AI models for prediction, classification, recommendation, and automation.
Design AI pipelines for data ingestion, preprocessing, model training, evaluation, deployment, and monitoring.
Build and optimize Large Language Model (LLM) applications using prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks.
Develop Natural Language Processing (NLP) solutions for text classification, entity extraction, summarization, sentiment analysis, and conversational AI.
Build Computer Vision solutions including OCR, image recognition, document processing, object detection, and image classification.
Develop AI-powered automation workflows using intelligent agents and enterprise AI orchestration frameworks.
Build efficient Python applications for data processing, AI model integration, and workflow automation.
Develop optimized SQL queries for data extraction, transformation, and analytics.
Integrate AI services with enterprise applications through REST APIs and microservices.
Monitor model performance, improve inference efficiency, and retrain models to maintain accuracy.
Apply MLOps reliable and valuable processes and procedures for model versioning, deployment, monitoring, and lifecycle management.
Collaborate with software developers, cloud engineers, data engineers, business analysts, and product teams to deliver AI-driven business solutions.
Document AI architecture, technical designs, deployment procedures, and model governance standards.
Stay updated with emerging advancements in Artificial Intelligence, Machine Learning, Generative AI, multimodal AI, and autonomous AI systems.

Required Skills

Strong experience as an AI/ML Engineer in enterprise or production environments.
Expertise in Machine Learning, Deep Learning, and Artificial Intelligence concepts.
Practical experience with Large Language Models (LLMs) and Generative AI applications.
Strong Python programming skills for AI model development.
Experience writing optimized SQL queries and handling structured datasets.
Knowledge of Computer Vision, OCR, and image processing techniques.
Strong understanding of Natural Language Processing (NLP) and text analytics.
Experience building REST APIs and integrating AI services with enterprise applications.
Familiarity with MLOps, model deployment, monitoring, and automation.
Strong analytical thinking, debugging, and problem-solving skills.
Excellent communication and collaboration abilities.

Technology Requirements

Programming Languages

Python
SQL
Java (Preferred)
JavaScript (Preferred)

Machine Learning & Deep Learning

Scikit-learn
TensorFlow
PyTorch
Keras
XGBoost
LightGBM

Generative AI & Large Language Models

OpenAI GPT
Claude
Gemini
Llama
Mistral
Hugging Face Transformers
LangChain
LlamaIndex
Semantic Kernel
Prompt Engineering
Retrieval-Augmented Generation (RAG)

AI Agents & Automation

LangGraph
CrewAI
AutoGen
AI Agent Frameworks
Workflow Automation
Intelligent Process Automation

Cloud Platforms

Microsoft Azure AI
Azure OpenAI
AWS AI Services
Amazon SageMaker
Google Vertex AI

Data Engineering

Pandas
NumPy
Apache Spark
ETL Pipelines
Data Warehousing

Databases

SQL Server
PostgreSQL
MySQL
MongoDB
Vector Databases (Pinecone, FAISS, ChromaDB)

DevOps & MLOps

MLflow
Docker
Kubernetes
Git
GitHub
GitLab
CI/CD Pipelines

Educational Qualification

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Electronics, or a related field.
Master's degree in AI, Machine Learning, Data Science, or Computer Science is preferred.

Preferred Certifications