Senior AI Engineer: Generative AI, Azure & ML Ops

Dicetek LLC; Abu Dhabi; On-site; AED 280,000 - 420,000; Full time

Job summary

Dicetek LLC is seeking a seasoned AI/ML engineer to design and implement ML algorithms addressing business challenges. You will collaborate with data scientists to preprocess large datasets, derive actionable insights, and improve model performance.

The role emphasizes robust testing, validation, and deployment of AI solutions in production. The ideal candidate brings 3+ years of hands-on AI/ML experience, deep Azure AI proficiency, and strong Python expertise, with a focus on scalable, secure,

Qualifications

• Bachelor's degree in CS, Engineering, AI, Data Science, Mathematics or related field; Master's preferred.
• Azure AI Engineer Associate (AI-102) certification highly preferred.

Responsibilities

• Design and implement ML algorithms to solve business challenges aligned with project goals.
• Collaborate with data scientists and analysts to preprocess and analyze large datasets for actionable insights.
• Optimize and fine-tune existing AI models using state-of-the-art techniques and tools.
• Conduct thorough testing and validation of AI models to ensure robustness before production deployment.

Skills

Azure AI Services

Python

LLM & Generative AI

ML Libraries

Vector Databases

DevOps/MLOps

Cloud Security

AI Ethics

Education

Bachelor's degree in CS/Engineering/AI/Data Science

Master's degree preferred

Azure AI Engineer Associate (AI-102)

Tools

Azure OpenAI

Azure Machine Learning

Azure Cognitive Services

Azure AI Search

Azure Functions

Azure Databricks

LangChain

LlamaIndex

Semantic Kernel

LangGraph

FastAPI

REST APIs

PyTorch

TensorFlow

Hugging Face Transformers

scikit-learn

spaCy

NLTK

FAISS

ChromaDB

Pinecone

Docker

Kubernetes

MLflow

Terraform

Azure Monitor

Application Insights

Job description

Dicetek LLC is seeking a seasoned AI/ML engineer to design and implement ML algorithms addressing business challenges. You will collaborate with data scientists to preprocess large datasets, derive actionable insights, and improve model performance.

The role emphasizes robust testing, validation, and deployment of AI solutions in production. The ideal candidate brings 3+ years of hands-on AI/ML experience, deep Azure AI proficiency, and strong Python expertise, with a focus on scalable, secure,