AI Engineers Future Opportunities (Pipeline Posting) at Lingatech

Location: Greater Harrisburg, PA (Hybrid/Onsite Options May Vary)**Job Type: Future Opportunity – Talent Pipeline**Work Authorization: U.S. Citizen or Permanent ResidentStatus: Not an Active Opening**Job SummaryLingaTech 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 RolesYou may be considered for future opportunities such as:AI Engineer / Machine Learning EngineerData Scientist (AI-focused)ML Ops EngineerGenerative AI EngineerAI Solutions ArchitectNLP EngineerComputer Vision EngineerAI Research EngineerPotential ResponsibilitiesResponsibilities will vary by project and client needs but may include:Designing, building, and deploying machine learning and AI modelsWorking with LLMs, generative AI, NLP, or computer vision toolsRunning experiments, evaluating models, and tuning parametersDeveloping and maintaining data pipelines for AI/ML workloadsBuilding APIs or services to operationalize AI modelsApplying prompt engineering or retrieval-augmented generation (RAG) techniquesUsing cloud platforms (Azure, AWS, GCP) for AI deploymentsCollaborating with product, data, and engineering teamsEnsuring responsible AI practices and model governanceRequirementsHands-on experience in AI/ML model development or AI-driven engineeringProficiency 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 evaluationAbility to translate business needs into AI-driven solutionsStrong analytical and problem-solving abilitiesPreferred Qualifications(Not required for pipeline consideration)Experience with LLMs, RAG, vector databases, or Generative AI toolsExperience with ML Ops platforms (Databricks, MLflow, Sagemaker Pipelines, Azure ML)Experience with NLP, computer vision, or deep learning techniquesExperience deploying AI into production environmentsPublic sector or enterprise experienceAI/ML certifications or relevant graduate-level courseworkWhy Join Our Pipeline?Early consideration for upcoming AI, ML, and data-driven rolesOpportunities across modernization, automation, analytics, and cloud-AI integrationsVisibility for short-term projects, long-term engagements, and direct-hire rolesAccess to a relationship-driven team supporting major Central PA clientsAdditional NotesThis is a pipeline posting only. It is intended to identify AI talent for future roles and is not associated with an active opening.