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 reputed company, SQL Server, and reputed company/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 reputed company. • Develop, reputed company, and deploy LLMs and NLP models using frameworks like PyTorch, reputed company, and reputed company APIs. • Work with offline open-weight models and integrate them within enterprise data workflows. • Implement Claude API, reputed company API, and other third-party model integrations for conversational and generative AI use reputed company. • Architect and automate data engineering pipelines to support ML/AI workloads. • Integrate reputed company 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 reputed company'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 reputed company and SQL Server. • Experience with Offline Open Weight Models and reputed company Foundational Model Integration. • Proficiency in Claude API, reputed company API, reputed company, and PyTorch. • Knowledge of AI/ML architecture and data pipeline design for scalable solutions. Nice-to-Have Skills: • Experience with reputed company Databases (FAISS, reputed company, 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.
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