AI/ML Engineer

Overview

On Site
Hybrid
$45.08 - $64.4 hr
Full Time
Contract - W2
Contract - Independent

Skills

Machine Learning (ML)
Jersey
Interfaces
Large Language Models (LLMs)
Management
Cloud Computing
Version Control
Real-time
Analytics
UI
Stacks Blockchain
Artificial Intelligence
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
IaaS
Language Models
Big Data

Job Details

Title: AI/ML Engineer

Location: Jersey City, NJ (Onsite)
Employment Type: Contract

Compensation
Pay Range:$45.08-$64.40/Hrs

Description
Develop, deploy, and optimize AI models for real-world applications.
Build user interfaces using modern web technologies.
Fine-tune large language models using advanced techniques.
Design custom prompting strategies to improve response relevance.
Create enhanced search pipelines integrating advanced search systems.
Optimize model size using structured pruning and quantization.
Implement knowledge distillation for edge deployments.

Key Responsibilities
Develop and manage AI systems across multiple regions using cloud services.
Build enterprise-grade ML Ops platforms using automation and version control tools.
Design real-time analytics pipelines using big data processing frameworks.

Qualifications
5-7 years of experience in AI, ML Ops, and cloud infrastructure.
Proficiency in building UI stacks with modern web technologies.
Expertise in fine-tuning language models and designing custom strategies.
Experience in optimizing and deploying AI models for various platforms.

Core Technologies
Generative AI | ML Ops | Cloud Infrastructure | Modern Web Technologies | Language Models | Search Systems | Big Data Processing

Contact Information
Stacy Trommelen,

Benefits
Learn more about our benefits offerings here

EEO Statement
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.