AI Engineers – Future Opportunities (Pipeline Posting)
About the positionResponsibilities• 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 governanceRequirements• 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 abilitiesNice-to-haves• 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 courseworkBenefits• 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 Apply tot his job