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AI Engineers - Future Opportunities (Pipeline Posting)

AI Engineers - Future Opportunities (Pipeline Posting)

LingaTechHarrisburg, PA, United States
6 days ago
Job type
  • Full-time
Job description

Location : Greater Harrisburg, PA (Hybrid / Onsite Options May Vary)

Job Type : Future Opportunity - Talent Pipeline

Work Authorization : U.S. Citizen or Permanent Resident

Status : Not an Active Opening

  • Job Summary

LingaTech is building a pipeline of experienced AI Engineers for anticipated future needs supporting both Commonwealth and commercial clients. This posting is not tied to an active requisition . We are proactively identifying AI and machine learning talent for upcoming contract and contract-to-hire roles

If you have experience designing, training, and deploying AI / ML models or working with modern AI tools and frameworks, we welcome you to join our pipeline.Potential Future Roles

You may be considered for future opportunities such as :

  • AI Engineer / Machine Learning Engineer
  • Data Scientist (AI-focused)
  • ML Ops Engineer
  • Generative AI Engineer
  • AI Solutions Architect
  • NLP Engineer
  • Computer Vision Engineer
  • AI Research Engineer

    • Potential Responsibilities

    Responsibilities will vary by project and client needs but may include :

  • Designing, building, and deploying machine learning and AI models
  • Working with LLMs, generative AI, NLP, or computer vision tools
  • Running experiments, evaluating models, and tuning parameters
  • Developing and maintaining data pipelines for AI / ML workloads
  • Building APIs or services to operationalize AI models
  • Applying prompt engineering or retrieval-augmented generation (RAG) techniques
  • Using cloud platforms (Azure, AWS, GCP) for AI deployments
  • Collaborating with product, data, and engineering teams
  • Ensuring responsible AI practices and model governance

    • Requirements

  • Hands-on experience in AI / ML model development or AI-driven engineering
  • Proficiency in Python and common AI frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.)
  • Experience with cloud AI services (Azure AI, AWS Sagemaker, GCP Vertex AI)
  • Strong understanding of model lifecycle, tuning, and evaluation
  • Ability to translate business needs into AI-driven solutions
  • Strong analytical and problem-solving abilities

    • Preferred Qualifications

    (Not required for pipeline consideration)

  • Experience with LLMs, RAG, vector databases, or Generative AI tools
  • Experience with ML Ops platforms (Databricks, MLflow, Sagemaker Pipelines, Azure ML)
  • Experience with NLP, computer vision, or deep learning techniques
  • Experience deploying AI into production environments
  • Public sector or enterprise experience
  • AI / ML certifications or relevant graduate-level coursework

    • Why Join Our Pipeline?

  • Early consideration for upcoming AI, ML, and data-driven roles
  • Opportunities across modernization, automation, analytics, and cloud-AI integrations
  • Visibility for short-term projects, long-term engagements, and direct-hire roles
  • Access to a relationship-driven team supporting major Central PA clients

    • Additional Notes

    This is a pipeline posting only . It is intended to identify AI talent for future roles and is not associated with an active opening.

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    Ai Pipeline Engineer • Harrisburg, PA, United States

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