Senior AI/ML Engineer

Raas Infotek LLC
New York, NY, United States
10 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

LangGraph Framework Artificial Intelligence Microsoft Azure Cloud Engineering Continuous Integration Text Processing Python (Programming Language) Machine Learning Natural Language Processing Performance Tuning OpenAI Tensorflow
+15 more
Standard Sql Enterprise Software Applications Pytorch Retrieval-Augmented Generation Flask (Web Framework) Large Language Models Deep Learning Generative AI Agentic-AI Fastapi Scikit Learn HuggingFace Machine Learning Operations Restful APIs Data Pipelines

Job description

We are looking for an experienced Senior AI/ML Engineer with 12+ years of experience in designing, developing, and deploying advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, Generative AI, LLMs, and cloud-based AI platforms., * Design, develop, and deploy scalable AI/ML models and applications.

  • Build machine learning algorithms for classification, regression, clustering, and predictive analytics.
  • Develop Generative AI solutions using LLMs, RAG, and Agentic AI architectures.
  • Implement NLP solutions, text processing, and conversational AI applications.
  • Build and optimize data pipelines for model training and inference.
  • Develop REST APIs and integrate AI/ML models with enterprise applications.
  • Implement model monitoring, evaluation, and performance optimization.
  • Work with cross-functional teams to understand business requirements.
  • Implement MLOps practices for model deployment, CI/CD, and lifecycle management.
  • Ensure AI solutions meet security, scalability, and performance requirements.

Requirements

  • Python, SQL
  • Machine Learning and Deep Learning
  • TensorFlow / PyTorch / Scikit-learn
  • Natural Language Processing (NLP)
  • Generative AI and Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • LangChain / LangGraph
  • OpenAI / Azure OpenAI / Hugging Face
  • REST APIs / FastAPI / Flask
  • MLOps and Model Deployment

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