Azure AIML Engineer
Azure AIML Engineer
Posted on :
08-03-2025
Employer Active
1 Vacancy
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Job Description
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 cloudbased AI deployment.
- Strong knowledge of Python SQL Flask and JavaScript.
- Experience with FAISS ChromaDB and big data analytics.
- Handson experience with MLflow Jenkins Docker and CI/CD pipelines.
- Understanding of LLMs federated learning and scalable AI infrastructure.
- Ability to work in crossfunctional 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 transformerbased NLP models LLMs and AIdriven automation workflows.
- Finetune pretrained models for domainspecific 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 searchoptimized RAGbased AI models using FAISS ChromaDB and LangChain.
- Implement document processing vector embeddings and AIpowered knowledge retrieval systems.
- Develop APIbased AI solutions for automated finance legal tech and healthcare AI applications.
- Work with AI orchestration and multiagent 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.
Employment Type
Full Time
Key Skills
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