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AI/ML Engineer

Job

Net2Source (N2S)

Lawrence Township, NJ (In Person)

$96,720 Salary, Full-Time

Posted 6 days ago (Updated 2 days ago) • Actively hiring

Expires 7/22/2026

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Job Description

AI/ML Engineer at Net2Source (N2S) AI/ML Engineer at Net2Source (N2S) in Lawrence Township, New Jersey Posted in 1 day ago.
Type:
full-time
Job Description:
Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap
  • Right Talent
  • Right Time
  • Right Place
  • Right Price and acting as a Career Coach to our consultants.
Company:
One of Our Clients Job Description :
Job Title:
AI/ML Enginee r
Site Location:
50% onsite at
Princeton Pike, N JWork Schedule:
Mon-Fri 8am-5p m
Duration:
12+ Months (Extendable ) Pay Rate $45.00
  • 48.
00/hr on W2 Not Open for
C2C/ C2H
Requireme nts:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field; 2-3+ years in web delivery/digital platfo rms.
  • AEM platform expertise
  • AEM Sites, Cloud Service, Java, OSGi, JCR, JavaScript, Content Fragme nts.
  • Python (3.x) proficiency
  • automation scripting, API integrations, and ML model development using TensorFlow, PyTorch, or Hugging F ace.
  • AI/ML & prompt engineering
  • experience with LLMs (GPT, Claude, LLaMA), prompt optimization, model fine-tuning, RAG patterns, and vector databa ses.
  • Proven ability to lead globally distributed, cross-functional teams in agile environments with strong stakeholder communicat ion.
  • Working knowledge of Adobe Experience Cloud, cloud platforms (AWS/Azure/GCP), and DevOps tooling (CI/CD, Docker, Kubernet es).
  • Familiarity with CDN, DNS, WAF, cookie consent, web accessibility (WCAG/EAA), and pharma/life sciences compliance requireme nts.
  • Experience with NLP, personalization algorithms, semantic search, and ability to evaluate and build business cases for emerging AI technolo gies Su mmaryThis role serves as the Web Delivery Lead within the Global Digital Engagement Platforms team, responsible for leading the end-to-end delivery of enterprise websites built on the Adobe Experience Manager (AEM) platform.
The ideal candidate combines strong delivery management capabilities with hands-on technical proficiency in Python, AI/ML model integration, and prompt engineering to drive next-generation digital experie nces.

You will lead a cross-functional delivery team across global markets, ensuring websites are launched on time, within scope, and aligned with brand, compliance, and accessibility standards. Beyond traditional delivery leadership, this role demands a builder's mindset-someone who can architect automation solutions, train and fine-tune AI models for content operations, and embed intelligent capabilities into the web delivery lifec ycle.

This is a unique opportunity to sit at the intersection of delivery excellence, platform engineering, and AI innovation, shaping how the company engages patients, healthcare professionals, and caregivers through its global web cha nnel. Responsibi litiesDelivery Leadership & Gove rnance
  • Lead end-to-end delivery of AEM-based websites across global markets, managing timelines, risks, and stakeholder expecta tions.
  • Define and enforce delivery standards including intake workflows, QA processes, and go-live readiness cri teria.
  • Manage and mentor a distributed team of developers, content authors, and QA specia lists.
  • Ensure compliance with regulatory, accessibility (WCAG/EAA), cookie consent, and governance require ments. AEM Platform Ex pertise
  • Maintain hands-on expertise across AEM Sites, Assets and Cloud S ervice.
  • Guide the team on component development, template design, content fragment modeling, and multi-site mana gement.
  • Support adoption of headless CMS capabilities, GraphQL APIs, and omnichannel content de livery. Python, AI/ML & Prompt Eng ineering
  • Develop and maintain Python-based automation scripts and tools to streamline website setup, content migration, metadata enrichment, QA validation, and reporting wo rkflows.
  • Design, train, and fine-tune AI/ML models for web delivery use cases, in cluding:o Automated content tagging and classi ficationo Intelligent content generation and summarization for w eb pageso Predictive analytics for website performance and user en gagemento Image and asset optimization using computer visio n models
  • Lead prompt engineering initiatives-crafting, testing, and optimizing prompts for large language models (LLMs) to support:o Automated generation of web copy, meta descriptions, and SEO contento AI-assisted MLR submission package pre parationo Conversational AI and chatbot build for company web pr opertieso Intelligent content review and compliance pre-s creening
  • Build and operationalize AI-powered workflows within the AEM ecosystem, integrating with APIs from OpenAI, Azure AI, AWS Bedrock, or similar pl atforms.
  • Evaluate emerging AI tools and frameworks, prototype innovative solutions, and present business cases for a doption.
  • Establish prompt libraries, model evaluation benchmarks, and AI governance standards for the web delive ry team. Quali fications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field; 2-3+ years in web delivery/digital p latforms.
  • AEM platform expertise
  • AEM Sites, Cloud Service, Java, OSGi, JCR, JavaScript, Content F ragments.
  • Python (3.x) proficiency
  • automation scripting, API integrations, and ML model development using TensorFlow, PyTorch, or Hugg ing Face.
  • AI/ML & prompt engineering
  • experience with LLMs (GPT, Claude, LLaMA), prompt optimization, model fine-tuning, RAG patterns, and vector d atabases.
  • Proven ability to lead globally distributed, cross-functional teams in agile environments with strong stakeholder commu nication.
  • Working knowledge of Adobe Experience Cloud, cloud platforms (AWS/Azure/GCP), and DevOps tooling (CI/CD, Docker, Kub ernetes).
  • Familiarity with CDN, DNS, WAF, cookie consent, web accessibility (WCAG/EAA), and pharma/life sciences compliance requ irements.
  • Experience with NLP, personalization algorithms, semantic search, and ability to evaluate and build business cases for emerging AI tec hnologies
Awards and Accolades:
America's Most Honored Businesses (Top 10%)Awarded by USPAAC for the Fastest Growing Business in the US12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 2 019, 2020)Fastest 50 by NJ Biz (2020, 2 019, 2020)INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to this list)Top 100 by Dallas Business Journal (2020 and 2019)Proven Supplier of the Year by Workforce Logiq (2020 and 2019)2019 Spirit of Alliance Award by Agile12018 Best of the Best Platinum Award by Agile12018 TechServe Alliance Excellence Awa rds Winner2017 Best of the Best Gold Award by Agile1(A ct1 Group)