AIML with Python (Spanish language required)

Qualifications: Develop and maintain AI Solutions for IVR and conversational platforms Implement LLM-based workflows including prompt engineering, evaluation, and RAG Build Knowledge retrieval pipelines to support IVR use cases (FAQ s troubleshooting, account queries) Evaluate model performance for accuracy, latency, and conversational quality Assist in continuous improvement of AI-driven voice experiences Required Skills 3+ years of experience in AI / ML Development Strong proficiency in Python

Job Summary: Dexian is seeking a Data Scientist with GenAI and Python for an opportunity with a client located in Charlotte, NC. Responsibilities: Design and build machine learning systems and pipelines, from data ingestion to model deployment in production environments Research and implement appropriate ML algorithms and tools, leveraging expertise in Python libraries like NumPy, Pandas, TensorFlow, or PyTorch Select, preprocess, and transform data using techniques like cleaning, transformation

Description Core GenAI & LLM Skills Handson expertise withAmazon Nova / Nova 2 foundation modelson Amazon Bedrock, including multimodal and highreasoning variants.Experience customizing or finetuning LLMs usingBedrock + SageMaker SFTpipelines.Strong LLM prompt engineering, optimization, prompt routing, and evaluation skills.Conversational AI (Chat + Voice) Proven ability designing and building conversational agents withAmazon Lex V2(Assisted NLU, multiturn dialogs, analytics).Handson integration

A client of Innova Solutions is immediately hiring for a Bilingual Senior AI Engineer Position Type: Full-Time, Contract Duration: 6 months Location: Charlotte NC 28217 (Hybrid) Schedule: 4-days onsite in a week. Asa Bilingual Senior AI Engineer,you will:Architect and develop AI-driven IVR and conversational systems using PythonBuild NLP models for text classification and clustering to support intent detection and call routingPerform data analysis using SQL on large-scale IVR and interaction da