AI Engineer

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

Design and implement machine learning algorithms tailored to solve specific business challenges ensuring they align with project goals Collaborate with data scientists and analysts to preprocess and analyze large datasets deriving actionable insights for model improvement Optimize and fine-tune existing AI models to enhance performance and accuracy using state-of-the-art techniques and tools Conduct thorough testing and validation of AI models ensuring robustness and reliability before deployment in production environments TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory

TECHNICAL SKILLS:

• Azure AI Services: Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
• Python Programming: Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
• LLM & Generative AI: Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
• ML Libraries & Frameworks: Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
• Vector Databases: Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
• DevOps/MLOps: Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
• Cloud Security & Integration: Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
• AI Ethics & Governance: Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.

KNOWLEDGE, SKILLS, & EXPERIENCE

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.

Minimum Experience:

• 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
• Mandatory hands-on experience with Microsoft Azure AI Services.
• Experience working with large-scale datasets and real-time enterprise data.
• Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.