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.