AI Engineer

Pioneer Consulting Services LLC; Princeton (NJ); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Pioneer Consulting Services LLC is hiring an AI/ML Engineer in the United States to design and deploy ML models, build data pipelines for training and inference, and develop Generative AI applications using LLMs and RAG architectures.

The role requires strong Python, ML/DL expertise, and cloud experience, with collaboration across Data Engineers, Data Scientists, and business teams to drive production-ready AI solutions.

Qualifications

• Proficiency in Python and ML frameworks.
• Experience with ML model deployment.
• Familiarity with cloud ML services.

Responsibilities

• Design, develop, and deploy ML models and AI solutions
• Build and optimize data pipelines for training and inference
• Develop Generative AI applications using LLMs and RAG architectures
• Collaborate with Data Engineers, Data Scientists, and Business Teams
• Monitor, evaluate, and improve model performance in production
• Implement MLOps best practices for scalable AI deployments

Skills

Python

ML & DL (Scikit-Learn, TensorFlow, PyT

Generative AI & LLMs

NLP & Computer Vision

Git & CI/CD

SQL & Data Engineering

Education

Bachelor’s or Master’s degree in CS/DS/AI

Tools

AWS/Azure/GCP

Databricks

Spark

Snowflake

Docker

Kubernetes

Job description

We’re Hiring: AI/ML Engineer

Location: USA (Remote/Hybrid/Onsite)

Employment Type: Full-Time / Contract

Visa — OPT/F1 Students( Recently Passout)

Are you passionate about building intelligent systems and transforming data into impactful solutions? We are looking for a talented AI/ML Engineer to join our growing team and work on cutting‑edge Artificial Intelligence and Machine Learning projects.

Key Responsibilities:

• Design, develop, and deploy Machine Learning models and AI solutions
• Build and optimize data pipelines for model training and inference
• Develop Generative AI applications using LLMs and RAG architectures
• Collaborate with Data Engineers, Data Scientists, and Business Teams
• Monitor, evaluate, and improve model performance in production
• Implement MLOps best practices for scalable AI deployments

Required Skills:

• Strong experience with Python
• Machine Learning & Deep Learning (Scikit-Learn, TensorFlow, PyTorch)
• Generative AI, LLMs, LangChain, RAG
• NLP and Computer Vision experience is a plus
• Experience with AWS, Azure, or GCP
• SQL and Data Engineering fundamentals
• Knowledge of Databricks, Spark, or Snowflake is preferred
• Experience with Git, Docker, Kubernetes, and CI/CD

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
• 2 years of experience in AI/ML Engineering or Data Science
• Experience deploying production‑grade AI applications

Why Join Us?

• Work with leading clients across the USA
• Exposure to cutting‑edge AI and Generative AI technologies
• Competitive compensation package
• Career growth and learning opportunities
• Collaborative and innovative work environment