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AI/NLP Engineer Remote (Ohio, USA) Contract

AceStack LLCvia Lensa
RemotoRemotoPlenoCLT2 dias atrás

Salário Estimado

R$ 9.867,00 - R$ 14.801,00

Descrição da Vaga

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.

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Informações

NívelPleno
ContratoCLT
LocalRemoto
RemotoSim
MoedaBRL
Publicada2 dias atrás
FonteLensa

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