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**
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.
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
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
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
(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
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
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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