Senior Data & Gen AI Engineer

坯潤; Abu Dhabi; On-site; AED 120,000 - 150,000; Full time

Job summary

A leading company in the energy sector is seeking a Senior Data and GenAI Practitioner to manage high-value projects. The role involves developing AI-driven solutions, engaging with clients, and improving AI models. Candidates should have extensive experience in digital solutions and a strong technical background.

Benefits

Medical Insurance

Group Life and Personal Accident Insurance

End of Service Gratuity

Employee Share Plan

Long Service Award

Commitment to continued professional development

Qualifications

• Minimum of 10 years of experience in delivering digital solutions.
• Deep knowledge of data management solutions and data architecture.

Responsibilities

• Lead the design, development, and deployment of AI-driven solutions.
• Engage directly with clients to identify high-value AI opportunities.

Skills

Python

Data Management

Machine Learning

Education

Bachelor's or Master's in Engineering

Tools

Pandas

TensorFlow

scikit-learn

Job description

Bachelors in Computer Application(Computers)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

The Role

This is an exciting opportunity for an experienced Senior Data and GenAI Practitioner with a proven track record in robust cost and schedule management, ideally coming from a cost control background, to take on a high value portfolio of projects for a high-profile client.

Our Clients and Projects

Designing the future. Transforming the world.

Wood's Oil, Gas & New Energies business is built on a strong legacy of delivering large and complex projects for national and international energy companies across the globe. We have experienced teams, a proven delivery model and a strong reputation.

We are the market-leading provider of integrated and innovative solutions that challenge the status-quo in the oil and gas upstream and midstream, onshore and offshore, gas to liquids and decarbonization and electrification markets. We pride ourselves in steady and predictable delivery, setting our sights on an exciting growth trajectory.

Energy security, transition and supply have never been more important. You, our enabling teams, are at the very forefront of transformative projects that are providing sustainable power to generations to come. We are the ones to bring low-carbon concepts to reality.

What we can offer

• Meaningful and interesting projects: Delivered to high profile clients across the Energy Sector
• Commitment to Diversity and Inclusion: We are an organization actively committed to diversity and inclusion across our business
• Competitive remuneration package: With regular reviews to ensure we are rewarding at the right level in line with the market
• Medical Insurance: Ensures inpatient, and outpatient medical care is available should you require treatment
• Group Life and Personal Accident Insurance: The company provides Life Assurance cover
• End of Service Gratuity: In line with UAE Labor Law, all employees are eligible for an End of Service benefit
• The Employee Share Plan: Gives you the opportunity to purchase Wood shares and receive a match from the company
• Long Service Award: Wood values the commitment and loyalty of our people. Celebrating Long Service provides an opportunity for the business to demonstrate their appreciation of the hard work, dedication and many years service of our employees at 5 year service milestones
• Commitment to continued professional development: Development plans that are tailored to your individual needs and interests
• Global connections: Join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
• Energy Transition Academy: Join a community of experts sharing your knowledge and gaining more exposure to a variety of existing and emerging energy systems delivered by experts in their field

The key objectives for this role are:

• Lead the design, development, and deployment of AI-driven solutions, ensuring scalability and business value.
• Own the end-to-end AI solution lifecycle, from ideation to documentation, coding, testing, and deployment.
• Work hands-on with LLMs, machine learning models, and AI automation tools to solve real-world industry challenges
• Continuously improve AI models through fine-tuning, retraining, and user feedback integration.
• Engage directly with clients and internal stakeholders to understand pain points and identify high-value AI opportunities.

Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Skills And Qualifications

What makes you remarkable?

At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world s most critical challenges.

Expected:

• A bachelor s or master s degree in engineering, Computer Science, Computer Engineering or equivalent technical discipline with an engineering background
• Minimum of 10 years of experience delivering digital solutions in Energy Sector or related field industries
• Deep knowledge of data management solutions and data architecture, data processing, analytics and IoT systems, with strong capabilities across a range of technologies
• Python, including Pandas, API development, machine learning including regression models, scikit-learn, TensorFlow.

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