mechanical engineer

software engineer

ai engineer

automation engineer

data engineer

machine learning engineer

ClearVUE.Business

<div>
 
 
 Hi, we're ClearVUE Dubai
 
 
 
 
 
 
 ClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.
 
 
 
 
 
 Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.
 
 
 
 
 
 ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 Are you an AI engineer with a passion for data, innovation, and driving real-world impact? We&rsquo;re looking for a skilled and motivated AI Engineer to join our data team in Dubai. In this role, you&rsquo;ll work on impactful projects in energy and sustainability, applying advanced machine learning techniques, AI tools, and large language models (LLMs) to solve complex, real-world challenges and help shape the future of intelligent solutions.
 
 
 
 
 
 
 What exactly will you do?
 
 
 
 
 
 <ul>
 <li>
 Collaborate with our team to analyse and interpret data from diverse sources, including sensors, APIs, and customer platforms.
 </li>
 <li>
 Design, develop, and deploy machine learning models that predict trends, improve efficiency, and generate actionable insights from energy-related data.
 </li>
 <li>
 Build and integrate AI/ML solutions into production environments, ensuring scalability and reliability in real-world applications.
 </li>
 <li>
 Work with modern AI tools such as
 
 OpenAI, Hugging Face, and LangChain
 
 , applying
 
 Retrieval-Augmented Generation (RAG)
 
 and
 
 Model Context Protocol (MCP)
 
 techniques to enhance data relevance, context awareness, and explainability in AI-driven products.
 </li>
 <li>
 Stay current with the latest advancements in AI, data science, and MLOps tools, and bring innovative ideas to the team.
 </li>
 <li>
 Participate in brainstorming sessions, code reviews, and planning meetings; your technical perspective and creativity will help shape our solutions.
 </li>
 <li>
 Contribute to dashboards, reports, and prototypes that translate complex data into clear, actionable insights for clients and internal teams.
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 3 &ndash; 5 years of experience working as an
 
 AI Engineer
 
 or similar role.
 </li>
 <li>
 Bachelor&rsquo;s Degree in
 
 Computer Science, Data Science, Engineering, Maths, Physics
 
 , or a related field.
 </li>
 <li>
 Hands-on experience with
 
 Python
 
 ,
 
 data analysis
 
 , or
 
 machine learning
 
 .
 </li>
 <li>
 Solid understanding of AI/ML concepts (e.g., building and evaluating models, using Jupyter notebooks, working with LLM APIs).
 </li>
 <li>
 Proficiency in data manipulation using tools such as
 
 pandas
 
 ,
 
 NumPy
 
 , and
 
 SQL
 
 .
 </li>
 <li>
 Experience with
 
 scikit-learn
 
 ,
 
 TensorFlow
 
 , or
 
 PyTorch
 
 , and familiarity with LLM frameworks such as
 
 OpenAI API
 
 or
 
 LangChain
 
 .
 </li>
 <li>
 Excellent communication skills; you can clearly explain technical concepts to both technical and non-technical audiences
 </li>
 <li>
 A proactive team player with a growth mindset, eager to learn, share knowledge, and contribute to meaningful projects
 </li>
 </ul>
 
 
 
 
 
 Nice to Have (but not expected)
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in related field.
 </li>
 <li>
 Experience implementing
 
 RAG pipelines
 
 or
 
 MCP-based integrations
 
 to connect AI models with live enterprise data sources.
 </li>
 <li>
 Knowledge of time series data or experience working with energy, IoT, or sustainability projects.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We&rsquo;ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today&rsquo;s energy landscape.
 
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 
 
 
 
 💎
 
 Compensation Package:
 
 We offer a
 
 monthly base salary of 16,000 AED
 
 , plus
 
 comprehensive medical insurance.
 
 
 
 🌍
 
 Purpose-Driven Impact:
 
 Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 
 
 🚀
 
 Ongoing Support and Development:
 
 Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 
 
 📈
 
 Clear Path to Advancement:
 
 We believe in nurturing our own; promotions from within are our specialty.
 
 
 
 
 
 
 GPG is an equal opportunity employer and applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
 
 
</div>

AI Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Data Engineer is responsible for designing, implementing, and optimising data pipelines and infrastructure to support our cutting-edge AI systems. The Data Engineer collaborates closely with our multidisciplinary team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling us to unlock valuable insights and drive innovation across various domains.
Responsibilities of the role: 
<ul><li>
Design, build, and optimise scalable data solutions, primarily utilising the Lakehouse architecture to unify data warehousing and data lake capabilities. Advise stakeholders on the strategic choice between Data Warehouse, Data Lake, and Lakehouse architectures based on specific business needs, cost, and latency requirements.</li><li>
Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds.</li><li>
Implement standards and tooling to ensure ACID properties, schema evolution, and high data quality within the Lakehouse environment. Implement robust data governance frameworks (security, privacy, integrity, compliance, auditing).</li><li>
Continuously optimize data storage, compute resources, and query performance across the data platform to reduce costs and improve latency for both BI and ML workloads, leveraging techniques such as indexing, partitioning, and parallel processing.</li><li>
Develop and maintain CI/CD pipelines to automate the entire machine learning lifecycle, from data validation and model training to deployment and infrastructure provisioning.</li><li>
Deploy, manage, and scale machine learning models into production environments, utilizing MLOps principles for reliable and repeatable operations.</li><li>
Establish and manage monitoring systems to track model performance metrics, detect data drift (changes in input data), and model decay (degradation in prediction accuracy).</li><li>
Ensure rigorous version control and tracking for all components: code, datasets, and trained model artifacts (using tools like MLflow or similar).</li><li>
Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing.</li></ul>
Requirements<ul>
<li>
 Proven practical experience in designing, building, and optimising solutions using Data Lakehouse architectures (e.g., Databricks, Delta Lake).
</li><li>Strong hands-on experience with managing data ingestion, schema enforcement, ACID properties, and utilizing big data technologies/frameworks like Spark and Kafka.</li>
<li>Expertise in data modeling, ETL/ELT processes, and data warehousing concepts. Proficiency in SQL and scripting languages (e.g., Python, Scala).</li>
<li>Demonstrated practical experience implementing MLOps pipelines for production systems. This includes a solid understanding and implementation experience with MLOps principles: automation, governance, and monitoring of ML models throughout the entire lifecycle.</li>
<li>Experience with CI/CD tools, containerization/orchestration technologies (e.g., Docker, Kubernetes), model serving frameworks (e.g., TensorFlow Serving, Sagemaker), and experiment tracking (e.g., MLflow).</li>
<li>Experience with production monitoring tools to detect data drift or model decay.</li>
<li>Strong hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and familiarity with DevOps practices.</li>
<li>Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.</li>
<li>Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation and continuous learning</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

Data Engineer

Synechron

<div>
 
 Greetings,
 
 
 
 
 
 We have an immediate vacancy for an
 
 AI/ML Data Engineer &ndash; Unstructured Data &amp; LLM Integration
 
 with over 7 years of experience at Synechron, based in Dubai.
 
 
 
 
 
 Job Role:
 
 AI/ML Data Engineer &ndash; Unstructured Data &amp; LLM Integration
 
 
 
 
 Location: Dubai
 
 
 
 
 
 
 
 
 
 About Company:
 
 
 
 At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron&rsquo;s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud &amp; DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 40 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
 
 
 
 
 
 
 Diversity, Equity, and Inclusion
 
 
 
 
 
 
 
 Synechron&rsquo;s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.
 
 
 
 
 We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn&rsquo;t matter where you&rsquo;re from or what you&rsquo;ve had to do to get here &ndash; if you have the skills, enthusiasm, and drive to make your mark, we&rsquo;ll support you like we support each other. Choose a career with us and let&rsquo;s pursue innovation, together.
 
 
 
 
 
 
 
 
 
 
 
 Job Descriptions:
 
 
 
 
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Degree, Post graduate in Computer Science or related field (or equivalent industry experience).
 </li>
 </ul>
 
 
 
 
 
 Job Summary:
 
 
 
 We are looking for an AI/ML-focused Data Engineer who brings deep expertise in building intelligent data pipelines for unstructured content and is experienced in integrating with modern machine learning ecosystems. The ideal candidate will have hands-on experience in PySpark and Python, with a strong focus on document classification, cleansing, quality metrics, and the ability to work with LLMs, vector databases, and Retrieval-Augmented Generation (RAG) frameworks. Candidates will play a critical role in bridging data engineering and machine learning, enabling the development of AI-first applications across the enterprise.
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 
 Build robust, scalable data processing pipelines for unstructured documents (PDFs, emails, forms, etc.) using PySpark and Python.
 </li>
 <li>
 Implement document cleansing, classification, and enrichment techniques to prepare high-quality data for AI/ML applications.
 </li>
 <li>
 Develop and integrate data workflows that feed into LLM-based pipelines and support vector-based retrieval using RAG architectures.
 </li>
 <li>
 Engineer vector embeddings, document chunking, and metadata tagging for semantic search and question-answering systems.
 </li>
 <li>
 Collaborate closely with AI architect, AI/Data engineers, and platform teams to design end-to-end AI solutions.
 </li>
 <li>
 Communicate data readiness, pipeline quality, and model integration strategies clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Apply Agile methodologies and CI/CD best practices to deliver continuously evolving AI capabilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 
 <ul>
 <li>
 Overall 5+ years of commercial experience with 2+ years in relevant role
 </li>
 <li>
 Strong proficiency in PySpark and distributed data frameworks.
 </li>
 <li>
 Solid experience in core Python, including ML/AI libraries (e.g., Transformers, LangChain, Hugging Face, FAISS, etc.).
 </li>
 <li>
 Proven expertise in processing unstructured data and document intelligence (OCR, NLP, classification, tagging).
 </li>
 <li>
 Familiarity with vector databases (e.g., Redis) and embedding models for RAG pipelines.
 </li>
 <li>
 Understanding of LLM lifecycle, including fine-tuning, inference, and prompt engineering.
 </li>
 <li>
 Experience working in agile environments, collaborating with cross-functional teams.
 </li>
 <li>
 Excellent communication skills with the ability to interface with both technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

AI/ML Data Engineer

Transguard Workforce Solutions

<div>
 
 
 Transguard Workforce Solutions
 
 is the UAE&rsquo;s leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.
 
 
 We are currently recruiting a
 
 AI Engineer
 
 for our Government client, based out of their office in
 
 Dubai
 
 ,
 
 UAE.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 
 We are seeking a highly skilled AI Engineer with expertise in Large Language Models (LLMs), Machine Learning, and Cloud Deployment. This role involves building and deploying AI solutions, integrating APIs, and optimizing performance for large-scale systems.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 
 Develop and Fine-Tune AI Models:
 
 Build and optimize Large Language Models (LLMs) for tasks like handwriting recognition and image processing.
 </li>
 <li>
 
 Cloud &amp; On-Prem Deployment:
 
 Deploy AI models on
 
 AWS Cloud (UAE Region)
 
 and local servers, ensuring scalability and security.
 </li>
 <li>
 
 API Integration:
 
 Connect AI models with internal and external systems using RESTful APIs for seamless functionality.
 </li>
 <li>
 
 Performance Optimization:
 
 Monitor, troubleshoot, and enhance model accuracy, speed, and reliability in production environments.
 </li>
 <li>
 
 Infrastructure Design:
 
 Architect high-speed network setups and AI communication frameworks to support large-scale AI applications.
 </li>
 <li>
 
 Data Management:
 
 Handle data preprocessing, cleaning, and augmentation for training models; manage local LLMs and databases.
 </li>
 <li>
 
 Collaboration &amp; Innovation:
 
 Work closely with cross-functional teams to integrate AI solutions into existing platforms and research next-gen AI technologies.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s/Master&rsquo;s
 
 in Computer Science, AI, or related field.
 </li>
 <li>
 Minimum
 
 4 years
 
 of hands on experience with
 
 LLMs
 
 and
 
 AI frameworks.
 
 </li>
 <li>
 Proficiency in
 
 Python
 
 ,
 
 TensorFlow
 
 ,
 
 PyTorch
 
 ,
 
 Node.js
 
 , and
 
 .NET
 
 .
 </li>
 <li>
 Strong knowledge of
 
 AWS Cloud deployment
 
 and
 
 API integration
 
 .
 </li>
 <li>
 Experience with
 
 LangChain
 
 ,
 
 OpenAI
 
 , and open-source AI tools.
 </li>
 <li>
 Portfolio showcasing previous AI/LLM projects is a strong plus.
 </li>
 </ul>
 
 
</div>

OneBullEx

<div>OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers real-time trading performance&mdash;even under extreme market volatility&mdash;powered by advanced automation and AI-driven tools, including our 300 SPARTANS trading bots. With cutting-edge machine learning, a user-first design, and transparent risk management, we are on a mission to redefine how traders navigate the fast-moving world of digital assets.

Job Overview

We are seeking a Senior AI Engineer, Quantitative Strategies to help pioneer a next-generation, self-evolving AI pipeline for trading strategy creation. This role goes beyond traditional engineering&mdash;you will architect an autonomous system that can generate, test, and refine its own strategies using the latest in large language models (LLMs) such as Gemini, ChatGPT, and Claude. If you are excited by the idea of making AI a true creative partner in quantitative trading, this is your chance to help shape the future of the industry.

Key Responsibilities
<ul>
<li>Architect from the ground up an autonomous strategy generation and evaluation pipeline, making key technical decisions that will define its future</li>
<li>Integrate and fine-tune cutting-edge LLMs to generate novel, testable trading hypotheses</li>
<li>Build closed-loop feedback systems to automate backtesting, analyse performance, and iteratively improve AI-generated strategies</li>
<li>Act as a bridge between quantitative research and AI engineering, working closely with traders and analysts to translate market insights into machine-executable strategies</li>
<li>Ensure scalability, performance, and robustness of all deployed systems</li>
</ul>
Candidate Requirements
<ul>
<li>Advanced degree (Master's or Ph.D.) in Financial Engineering, Computer Science, Industrial Engineering, or a related quantitative field</li>
<li>3+ years of hands-on experience in quantitative or software engineering roles, ideally within trading, fintech, or financial markets</li>
<li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (PyTorch, TensorFlow, or JAX)</li>
<li>Solid knowledge of deep learning, reinforcement learning, and optimisation techniques</li>
<li>Experience with LLM APIs, prompt engineering, and preferably fine-tuning</li>
<li>Strong software engineering fundamentals, including Git, testing, and deployment workflows</li>
<li>Deep understanding of financial markets, statistical analysis, and strategy development principles</li>
</ul>
 Preferred Qualifications
<ul>
<li>Proven track record of developing and executing trading strategies in live markets</li>
<li>Recognition in quantitative competitions (e.g., Kaggle, Quantopian)</li>
<li>GitHub or portfolio demonstrating complex, data-driven projects</li>
<li>Experience with reinforcement learning or other adaptive systems</li>
<li>A strong intellectual curiosity and drive to push technological boundaries</li>
</ul>
Why Join OneBullEx?
<ul>
<li>Early Impact &ndash; Be part of the founding team shaping a revolutionary AI-driven trading ecosystem</li>
<li>Innovation at Scale &ndash; Work with cutting-edge AI, LLMs, and financial technology in a high-growth startup</li>
<li>Global Ambition &ndash; Contribute to a platform with plans for rapid international expansion</li>
<li>Competitive Package &ndash; Attractive salary, performance-based incentives, and relocation support to Dubai</li></ul></div>

Senior AI Engineer, Quantitative Strategies

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The purpose of the Data Scientist is to undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
In this role, you will:
<ul><li>Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
</li><li>Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
</li><li>Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
</li><li>Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
</li><li>Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
</li><li>Experience: 2-4+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
</li></ul>Knowledge &amp; Skills:
<ul><li>2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
</li><li>Hands-on experience in Data Science ecosystem.
</li><li>Hands-on experience in Gen AI, LLMs and Agentic AI
</li><li>Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
</li><li>Hands-on experience with SQL, R, Python.
</li><li>Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
</li><li>Hands-on experience building libraries and packages to be re-used by others.
</li><li>Hands-on experience building DS Solutions for production usage.
</li><li>Team player with a problem solving attitude.
</li><li>Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li><li>Able to challenge and review the quality and value generated from analytical output.
</li></ul>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

Data Scientist

Sun and Energy Solar FZCO

<div><div>Job Title: AI Specialist 
Location: Dubai, U.A.E. 
Company: Sun and Energy Solar FZCO 
</div><div>
Job Overview: 
We&rsquo;re looking for an AI Specialist to join our team at Sun and Energy Solar. In this role, you&rsquo;ll apply artificial intelligence and machine learning to enhance our solar energy systems and improve customer experiences. If you're passionate about AI and renewable energy, this is your chance to make an impact. 
</div><div>
What We Offer: 
<ul><li>Salary: AED 7,000 - AED 10,000 per month</li><li>Career Growth: Opportunities for professional development in AI and renewable energy.</li><li>Inclusive Culture: Be part of a dynamic, supportive team where new ideas are encouraged.</li></ul></div><div> 
Key Responsibilities:</div><ul><li>
AI Model Development:<ul><li>
Create and improve AI models to optimize solar energy systems (e.g., predictive maintenance, energy forecasting).</li></ul></li><li>
Data Analysis &amp; Insights:<ul><li>
Analyze data to uncover patterns that help improve energy performance and efficiency.</li></ul></li><li>
Automation &amp; Optimization:<ul><li>
Automate processes and optimize AI algorithms to enhance system efficiency and accuracy.</li></ul></li><li>
Collaboration:<ul><li>
Work closely with cross-functional teams to implement AI-driven solutions across the business.</li></ul></li><li>
Research &amp; Innovation:<ul><li>
Stay up-to-date with AI trends and bring new ideas to improve solar energy technologies.</li></ul></li></ul><div> 

Skills &amp; Qualifications:</div><ul><li>
Experience: 2-3 years in AI or machine learning.</li><li>
Education: Degree in Computer Science, AI, Data Science, or a related field (preferred but not required).</li><li>
Technical Skills: Strong knowledge of AI tools (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).</li><li>
Data Skills: Experience with data analysis and modeling.</li><li>
Problem-Solving: Ability to develop practical AI solutions for real-world challenges.</li><li>
Digital Marketing Skills: Experience with digital marketing is also desirable.</li><li>
Desirable Skills: Knowledge of renewable energy or related industries is a plus.</li></ul><div></div><div> 
Why Join Us? 
At Sun &amp; Energy Solar, we are at the forefront of the clean energy movement. As an AI Specialist, you&rsquo;ll help us use AI to drive innovation in the solar industry. If you&rsquo;re ready to make a difference and grow your career in a fast-evolving field, we&rsquo;d love to have you on our team!</div></div>

AI Specialist

Explore 2042+ Machine learning engineer in Dubai this December. Find roles across top companies and apply now to boost your career.

2042 machine learning engineer jobs IN Dubai

AI Engineer

Data Engineer

AI/ML Data Engineer

AI Engineer

Senior AI Engineer, Quantitative Strategies

Data Scientist

AI Specialist