Senior Staff Engineer

Nagarro; Remote; AED 257,000 - 368,000; Full time

Job summary

A leading technology solutions company is seeking an AI/ML Engineer proficient in Python and Azure. The ideal candidate should demonstrate deep knowledge of large language models and expertise in prompt engineering. Responsibilities include implementing AI models and using cloud AI services. This full-time position offers remote work flexibility and requires a strong background in both structured and unstructured data processing.

Qualifications

• Deep understanding of LLMs and their architectures.
• Experience with data handling for structured and unstructured data.
• Familiarity with MLOps concepts.

Responsibilities

• Implement AI/ML models and manage RAG patterns.
• Use managed AI/ML services on Azure.
• Monitor and version models with experiment tracking.

Skills

Python for Data Science

Machine Learning on Azure

High proficiency in Python

Expert-level prompt engineering

Experience with finetuning techniques

Familiarity with vector databases

Tools

Azure Machine Learning Studio

LangChain

Hugging Face Transformers

MLflow

Job description

Must Have Skills

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

Good To Have Skills

No specific skills listed.

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).
• Programming (Mandatory): High proficiency in Python and standard AI/ML libraries (e.g. LangChain LlamaIndex LangGraph LangSmith Hugging Face Transformers Scikitlearn PyTorch/TensorFlow).
• Cloud (Mandatory): Experience using managed AI/ML services on the target cloud platform (e.g. Azure Machine Learning Studio AI Foundry).
• Data Handling (Desired): Experience working with both structured and unstructured data.
• MLOps (Desired): Familiarity with experiment tracking (e.g. MLflow) model versioning and monitoring concepts.

Remote Work

Yes

Employment Type

Fulltime