Azure AI/ML Engineer

15 hours ago


Lahore, Punjab, Pakistan HR POD Careers Full time
Requirements:
  • Bachelors or Masters degree in AI, Data Science, or Computer Science.
  • Strong experience in machine learning, deep learning, and NLP.
  • Proficiency in Azure AI Services, Kubernetes, and cloud-based AI deployment.
  • Strong knowledge of Python, SQL, Flask, and JavaScript.
  • Experience with FAISS, ChromaDB, and big data analytics.
  • Hands-on experience with MLflow, Jenkins, Docker, and CI/CD pipelines.
  • Understanding of LLMs, federated learning, and scalable AI infrastructure.
  • Ability to work in cross-functional AI teams and contribute to R&D efforts.
  • Microsoft Azure AI Engineer Associate, AWS Certified Cloud Practitioner.
  • Experience in AI/ML Startups or R&D projects.
Responsibilities:
  • Build and optimize machine learning and deep learning models using PyTorch, TensorFlow, and Hugging Face.
  • Develop transformer-based NLP models, LLMs, and AI-driven automation workflows.
  • Fine-tune pre-trained models for domain-specific applications.
  • Deploy AI/ML models on Azure Machine Learning Studio, Azure Kubernetes Service (AKS), and Azure Functions.
  • Implement AI pipelines using Azure Data Factory, Synapse Analytics, and MLOps best practices.
  • Build search-optimized RAG-based AI models using FAISS, ChromaDB, and LangChain.
  • Implement document processing, vector embeddings, and AI-powered knowledge retrieval systems.
  • Develop API-based AI solutions for automated finance, legal tech, and healthcare AI applications.
  • Work with AI orchestration and multi-agent AI systems to drive intelligent automation.
  • Implement automated AI model monitoring, version control, and optimization workflows.
  • Maintain AI/ML pipelines with DVC, MLflow, and CI/CD integration.
  • Optimize hyperparameter tuning, model retraining, and AI performance scaling.
  • Ensure AI security, compliance, and ethical AI implementation.
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