AI Engineer / Machine Learning Engineer

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.