Job Description

We are seeking a highly skilled and motivated AI/ML Engineer with a passion for building cutting-edge AI solutions. The ideal candidate will have at least two years of experience deploying robust machine learning models in a production environment. You will be responsible for the end-to-end development of AI-powered features, from data collection and model training to deployment and optimization. This role requires a strong foundation in traditional machine learning, expertise in advanced AI techniques, and hands-on experience with Generative AI, including LLM applications and RAG systems.

Key Responsibilities

Model Development & Implementation:

Design, build, and deploy a range of machine learning models, including but not limited to:

Traditional ML:

Customer churn prediction (classification), lifetime value forecasting (regression), and customer segmentation (clustering).

Advanced ML:

Develop sophisticated models for demand forecasting, dynamic pricing, process optimization, and anomaly/fraud detection.

Generative AI & LLM Applications:

Develop and fine-tune Large Language Models (LLMs) to power conversational AI for enterprise use cases, generate dynamic business reports, and create personalized marketing communications. Build and maintain efficient Retrieval-Augmented Generation (RAG) pipelines to provide accurate, context-aware responses from extensive enterprise knowledge bases.

Data Acquisition & Engineering:

Employ web scraping techniques using

Playwright

or

Selenium

to gather essential data for competitive analysis, market trends, and model enrichment. Collaborate with the data engineering team to build and maintain scalable data pipelines for training and inference.

Production & MLOps:

Own the full lifecycle of machine learning models, including deployment, monitoring, and continuous improvement in a live production environment. Work closely with software developers to integrate AI/ML models seamlessly into client platforms and internal enterprise systems.

Research & Innovation:

Stay current with the latest advancements in AI, machine learning, and data analytics to identify new opportunities and drive innovation within the company.

Required Skills and Qualifications

Experience:

A minimum of

2 years

of proven experience building and deploying machine learning models in a production setting.

Educational Background:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.

Technical Proficiency:

Strong programming skills in

Python

. Hands-on experience with core ML/DL frameworks such as

Scikit-learn, TensorFlow, or PyTorch

. Demonstrable experience with

Generative AI

technologies, including working with APIs from OpenAI, or similar, and

HF

open-source models. Expertise in building

RAG systems

and familiarity with vector databases (e.g., Pinecone, ChromaDB). Proficient in web scraping using

Playwright

and/or

Selenium

.

Problem-Solving:

Strong analytical and problem-solving skills with the ability to translate business problems into tangible ML-driven solutions.

Communication:

Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Job Types: Full-time, Permanent

Pay: AED3,000.00 - AED5,000.00 per month