Azure AI/ML Engineer (Hybrid, Lahore, USD Salary)

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.