Senior Staff Engineer

Nagarro; United Arab Emirates; Remote; AED 293,000 - 441,000; Full time

Job summary

A leading tech company in the United Arab Emirates is seeking an AI/ML Engineer proficient in Python and Azure AI/ML services. The role demands deep knowledge of LLM architectures and experience in implementing modern AI techniques. Ideal candidates will excel in prompt engineering and model evaluation, with experience in data handling and MLOps practices. Opportunities for remote work are available.

Qualifications

• Deep understanding of LLMs and their architectures.
• High proficiency in Python and standard AI/ML libraries.
• Experience using managed AI/ML services on Azure.

Responsibilities

• Implement RAG patterns and evaluate models.
• Work with structured and unstructured data.
• Familiarity with experiment tracking and model monitoring.

Skills

Python for Data Science

Machine Learning on Azure

Microsoft Azure AI and ML

Tools

MLflow

Hugging Face Transformers

TensorFlow

PyTorch

Job description

Must have Skills

• Python for Data Science (Strong)
• Machine Learning on Azure (Strong)
• Microsoft Azure Artificial Inteligence and Machine Learning (Strong)

Job Description

• AI/ML Engineer o GenAI/ML Specific (Mandatory): Deep understanding of LLMs (e.g. GPTs Llama Claude Gemini Qwen Mistral BERTfamily models) and their architectures (Transformers); expertlevel prompt engineering skills; proven experience implementing RAG patterns; experience with finetuning and distillation techniques and evaluation; familiarity with vector and graph databases (e.g. Weaviate Neo4j); understanding of GenAI evaluation metrics (e.g. BLEU ROUGE perplexity semantic similarity human evaluation).
• o Programming (Mandatory): High proficiency in Python and standard AI/ML libraries (e.g. LangChain LlamaIndex LangGraph LangSmith Hugging Face Transformers Scikitlearn PyTorch/TensorFlow).
• o Cloud (Mandatory): Experience using managed AI/ML services on the target cloud platform (e.g. Azure Machine Learning Studio AI Foundry).
• o Data Handling (Desired): Experience working with both structured and unstructured data.
• o MLOps (Desired): Familiarity with experiment tracking (e.g. MLflow) model versioning and monitoring concepts.

Remote Work

Yes

Employment Type

Fulltime