Position Expired
This job is no longer accepting applications.
AI/NLP Engineer-5
Realign LLC
Job Type: Contract
Job Category: IT
Job Title: AI/NLP Engineer
Location: Remote
Employment Type: Contract
Job Summary
We are seeking a highly skilled AI/NLP Engineer to design, implement, and optimize intelligent language-driven solutions leveraging cutting-edge AI/ML technologies. The ideal candidate will have hands-on experience with Azure Cognitive Services, Databricks, LLM frameworks, and modern NLP techniques to build scalable, production-ready AI systems.
Key Responsibilities
Develop, fine-tune, and integrate NLP and LLM-based applications using frameworks like PyTorch, LangChain, and OpenAI APIs.
Implement Azure Cognitive Services (Language, Vision, Search, Speech) for real-world business use cases.
Utilize Databricks for model orchestration, pipeline development, and foundational model integration.
Work with offline open-weight models (e.g., LLaMA, Mistral, Falcon) for secure enterprise deployments.
Design technical architectures for data engineering pipelines supporting AI/ML workflows.
Integrate and experiment with Claude API, OpenAI, and other advanced language models.
Optimize data processing using SQL Server and Databricks Delta for feature engineering and model training.
Collaborate with data scientists, engineers, and architects to deploy AI models at scale.
Implement best practices in model governance, prompt engineering, and evaluation frameworks.
Stay up to date with advancements in LLMs, NLP frameworks, and AI infrastructure technologies.
Required Skills & Experience
Strong programming skills in Python (experience with NLP, LangChain, and data frameworks).
Proven experience with Azure AI Services and Databricks environments.
Hands-on experience with SQL Server for data integration and analysis.
Familiarity with Claude API and OpenAI APIs for conversational AI solutions.
Knowledge of offline open-weight model deployment and fine-tuning.
Experience designing data engineering architectures for AI/ML use cases.
Deep understanding of LLM training, fine-tuning, and inference optimization.