AI/NLP Engineer Remote (Ohio, USA) Contract

Job Title: AI/NLP Engineer / Developer Location: Remote (Ohio, USA) Employment Type: Contract, Long Term Prior experience with Cardinal is highly preferred.

Job Overview: We are seeking an experienced AI/NLP Engineer to design, develop, and integrate advanced AI solutions leveraging Azure Cognitive Services, Large Language Models (LLMs), and NLP frameworks.

The ideal candidate will have hands-on experience with Databricks, SQL Server, and modern AI/ML pipelines, capable of building intelligent, scalable, and production-ready solutions.

Key Responsibilities: • Design and implement AI and NLP-based solutions integrated with Azure Cognitive Services and Databricks. • Develop, fine-tune, and deploy LLMs and NLP models using frameworks like PyTorch, LangChain, and OpenAI APIs. • Work with offline open-weight models and integrate them within enterprise data workflows. • Implement Claude API, OpenAI API, and other third-party model integrations for conversational and generative AI use cases. • Architect and automate data engineering pipelines to support ML/AI workloads. • Integrate Databricks Foundational Models into enterprise data ecosystems for model training, inference, and monitoring. • Collaborate with data scientists, engineers, and architects to ensure model scalability, performance, and compliance. • Monitor and optimize model performance and implement retraining strategies as needed.

Must-Have Skills: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. • Overall IT Experience: 8-12 Years • Expertise in Python and NLP model development (Transformers, LLMs, etc.). • Strong experience with Azure Cognitive Services integration. • Hands-on experience with Databricks and SQL Server. • Experience with Offline Open Weight Models and Databricks Foundational Model Integration. • Proficiency in Claude API, OpenAI API, LangChain, and PyTorch. • Knowledge of AI/ML architecture and data pipeline design for scalable solutions.

Nice-to-Have Skills: • Experience with Vector Databases (FAISS, Pinecone, etc.). • Familiarity with MLOps, Model Monitoring, and LLM fine-tuning. • Exposure to Azure Machine Learning, Kubernetes, and Docker for deployment. • Understanding of Responsible AI principles, model governance, and security.