# Snr AI & ML Engineer

> Weekday AI · Abu Dhabi, United Arab Emirates · Full-time · Posted 2026-08-11

**Salary:** INR 2,000,000–4,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟰𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟰𝟬 𝗟𝗣𝗔)

Experience: 7+ yrs

Location: Abu Dhabi, United Arab Emirates

Job Type: Full-time

We are seeking a **Senior AI/ML Engineer** to design, develop, and deploy production-grade AI and machine learning solutions for financial services use cases. This is a hands-on role for an experienced professional with strong expertise in **Python, Machine Learning, Generative AI, LLMs, RAG, Agentic AI, and Data Engineering**.

The ideal candidate will be comfortable transforming complex business and financial requirements into scalable AI-powered applications. You will work closely with finance, quantitative, technology, and business teams to develop practical solutions across areas such as risk, credit, compliance, treasury, markets, and financial reporting.

## Requirements

### Key Responsibilities

-   Design, develop, and deploy AI/ML and Generative AI solutions for financial services use cases.
-   Build **LLM applications, RAG pipelines, AI agents, document intelligence solutions, and workflow automation tools**.
-   Develop scalable Python-based APIs, model services, dashboards, and data pipelines.
-   Work with financial datasets, including transaction data, credit data, market data, financial statements, and unstructured documents.
-   Support AI solutions across risk management, credit, treasury, compliance, markets, corporate banking, and management reporting.
-   Prototype innovative AI solutions rapidly and transform successful prototypes into production-grade applications.
-   Design and implement solutions using technologies such as **Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, FastAPI, Flask, Streamlit, LangChain, LangGraph, LlamaIndex, vector databases, embeddings, and RAG**.
-   Build and integrate cloud-native solutions using **Azure, AWS, or GCP**, along with Docker, Kubernetes, Git, and CI/CD practices.
-   Collaborate with finance and quantitative teams to translate complex methodologies into practical software solutions.
-   Implement appropriate testing, logging, monitoring, security, and basic MLOps practices.
-   Work with cross-functional teams to understand business requirements and deliver scalable solutions.
-   Mentor junior engineers, developers, and analysts on coding standards, modelling practices, testing, and deployment.

### What Makes You a Great Fit

-   7+ years of experience in **AI/ML Engineering, Data Science, Software Engineering, or Analytics Engineering**.
-   Strong hands-on expertise in **Python** and modern machine learning frameworks.
-   Proven experience building and deploying real-world AI/ML applications rather than working exclusively with notebooks or prototypes.
-   Strong understanding of **LLMs, Generative AI, RAG, agentic workflows, NLP, embeddings, vector databases, or document intelligence**.
-   Experience developing APIs, data pipelines, dashboards, and production-grade model services.
-   Familiarity with SQL, structured databases, cloud platforms, containers, CI/CD, testing, and deployment practices.
-   Strong problem-solving and analytical skills with the ability to work through ambiguous business challenges.
-   Ability to communicate effectively with both technical teams and finance/business stakeholders.
-   Exposure to **banking, fintech, payments, insurance, asset management, consulting, or capital markets** is highly valuable.
-   Knowledge of financial use cases such as credit risk, fraud, KYC, treasury, trading, portfolio analytics, regulatory reporting, or financial document processing is an advantage.
-   A practical, delivery-focused mindset with the ability to build solutions quickly and continuously improve them for production use.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/5A64E2550E/apply)

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