Associate Principal Engineer (Data Scientist - Gen AI, ML)

Nagarro; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading technology consultancy is seeking a Data Scientist in Dubai to design and implement scalable AI and ML solutions that meet business objectives. The role involves mentoring junior team members and leading technical discussions while optimizing workflows with cutting-edge GenAI tools. Ideal candidates will have extensive IT experience, with a significant focus on generative and agentic AI, and a strong ability to communicate technical concepts to diverse stakeholders.

Qualifications

• 10 to 12 years experience in the IT industry, with at least 3 years in GenAI.
• Minimum of 2 years experience with Datarobot for GenAI solutions.
• Experience in architecting and building GenAI solutions.

Responsibilities

• Design and implement ML and AI solutions aligned with business goals.
• Collaborate with cross-functional teams to gather project requirements.
• Drive AI product development using agile methodologies.

Skills

Generative AI

Machine Learning

Backend Development

Cloud Solutions

APIs

Team Leadership

Education

Bachelor's or Master's degree in Computer Science Engineering

Tools

Datarobot

Cloud Platforms

Vector Databases

Job description

Job Description

Data Scientist is design, develop, implement scalable ML, GenAI and Agentic AI solutions align with business goals, lead team and ensure code / delivery quality.

Key responsibilities include create integration architectures, define standards that matches emerging GenAI trends to drive innovation, efficiency and competitive advantage, integrate AI / LLM Models into Applications / APIs, optimize workflows with GenAI tools, leading technical discussions and mentoring junior team members.

The role also requires experience with backend development, APIs including RAG APIs, Vector databases, cloud platform, production grade solutions code quality & security.

Regular Duties

• Design solutions and implement ML, generative AI and agentic AI models and algorithms, utilizing state-of-the-art algorithms.
• Work on integrating cloud with AI algorithms and On premises AI algorithms.
• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services.
• Optimize existing AI models for improved performance, scalability, and efficiency.
• Develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation.
• Drive the team to build AI products and solutions, working in an agile methodology
• Manage delivery across pods building scalable AI and API services
• Run standups, sprints, retrospectives, and Jira workflows
• Drive backend deployment, security reviews, and QA pipelines
• Coordinate integration of RAG APIs and vector DB pipelines
• Promote use of code quality agents and modern CI / CD practices
• Collaborate with the Product Manager / Architect to define deliverables and technical strategy.
• Drive the integration of AI / ML capabilities into products using market trending libraries.
• Guide teams through refactoring and codebase optimization using AI-assisted insights.
• Troubleshoot and resolve issues related to AI models and implementations.
• Create and maintain documentation for AI models and their applications.
• Communicate complex technical concepts and findings to non-technical stakeholders.

Skills and Qualifications

• A masters / bachelor degree in computer science engineering
• 10 to 12 years experience in IT Industry and up to 3 years experience in GenAI, Agentic AI Solutioning and Implementation
• Minimum 2 Year experience in Datarobot for architecting and building GenAI Solutions RAG Agents and Deployment
• Mentor-first mindset, delivery-driven, team player, excellent communicator
• Access control, deployment integrity, secure endpoints, compliance awareness
• Cloud GenAI Solutions Design, Development and Deployment
• On-Premises GenAI Solutions Design, Development and Deployment