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Nexus Analytica

About Nexus AnalyticaNexus Analytica is an international energy and digitalization consultancy specializing in renewable energy, power systems, and smart grid solutions. The company supports governments, utilities, and private sector clients across Europe, the Middle East, and Africa in developing and implementing large-scale energy infrastructure projects, including solar PV, wind, battery energy storage systems (BESS), and digital energy platforms such as NexusGRID. Position OverviewWe are seeking an experienced Senior Solar PV Design Engineer to lead the technical design and engineering of utility-scale solar PV and hybrid (PV + BESS) projects. The role combines advanced engineering design, technical leadership, and project coordination, supporting projects from early-stage feasibility through detailed design, procurement, and commissioning. The ideal candidate will have strong expertise in utility-scale solar PV systems, including fixed-tilt and tracker-based designs, and experience working with utilities, transmission system operators, or large industrial clients. Key Responsibilities 1. Project Design &amp; Engineering<ul><li>Lead the design and optimization of utility-scale solar PV systems, including fixed-tilt and single-axis tracker configurations</li><li>Develop plant layouts, electrical designs (DC/AC), and grid integration concepts</li><li>Perform energy yield assessments and performance modeling using tools such as PVsyst, PVcase, Helioscope, and AutoCAD</li><li>Conduct system sizing, cable routing, inverter selection, and loss analysis</li><li>Integrate BESS into PV plant designs, including sizing, dispatch logic, and hybrid control concepts</li><li>Apply value engineering principles to optimize CAPEX, OPEX, and system performance  </li></ul>2. Technical Project Management<ul><li>Support and oversee the full project lifecycle: feasibility studies, conceptual design, tendering, detailed engineering, and commissioning</li><li>Coordinate with internal teams (digital, grid, SCADA, regulatory) and external stakeholders (developers, EPCs, utilities)</li><li>Review and align technical specifications, employer’s requirements, and tender documents</li><li>Contribute to technical due diligence and bankability assessments for investors and lenders  </li></ul>3. Grid Integration &amp; System Studies<ul><li>Support grid connection studies, including load flow, short-circuit, and dynamic performance considerations</li><li>Ensure compliance with grid codes, interconnection requirements, and utility standards (e.g., LVRT/HVRT, reactive power, frequency response)</li><li>Coordinate with grid and power system experts for hybrid system integration (PV + BESS)  </li></ul>4. Technical Leadership<ul><li>Act as a technical reference point for solar PV design within Nexus Analytica</li><li>Mentor and guide junior engineers and analysts</li><li>Contribute to the development of internal design standards, tools, and methodologies</li><li>Support innovation in digitalization, optimization, and performance monitoring  </li></ul>5. Quality Assurance &amp; Compliance<ul><li>Review and approve design documents, drawings, simulations, and engineering reports</li><li>Ensure compliance with international standards (IEC, IEEE) and project-specific technical requirements</li><li>Support site assessments, commissioning, and performance validation  </li></ul>Qualifications &amp; Experience<ul><li>Bachelor’s or Master’s degree in Electrical Engineering, Renewable Energy, or related field</li><li>Minimum 5–8 years of experience in solar PV engineering, with a focus on utility-scale projects</li><li>Proven experience in designing large-scale PV plants (ground-mounted and tracker systems)</li><li>Strong proficiency in PVsyst, AutoCAD, PVcase, Helioscope, or similar tools</li><li>Solid understanding of: <ul><li>Electrical design (DC/AC systems, protection, grounding)</li><li>Grid integration and interconnection requirements</li><li>Solar resource assessment and performance modeling</li></ul></li><li>Experience with BESS and hybrid PV systems is highly desirable</li><li>Familiarity with SCADA systems, plant monitoring, and digital energy platforms is a plus</li><li>Strong project management and coordination skills</li><li>Excellent communication skills in English  </li></ul>What We Offer<ul><li>Opportunity to work on high-impact international energy projects with governments, utilities, and development institutions</li><li>Exposure to cutting-edge projects in solar PV, BESS, and digital energy systems</li><li>A dynamic, multidisciplinary environment combining engineering, digitalization, and policy</li><li>Career growth into technical leadership and project management roles</li></ul>

Senior Solar PV Design Engineer

York Towers

<div>
 Dwelleo is a Saudi AI-powered PropTech platform redefining how real estate decisions are made. From buying and renting to selling and investing, we combine verified data, intelligent insights, and complete transparency &mdash; empowering users to understand the market clearly and make confident decisions at every step.
 
 
 
 About Dwelleo
 
 
 
 Dwelleo is an AI-powered real estate marketplace transforming how people search, buy, sell, and rent properties across Saudi Arabia.
 
 
 The platform combines machine learning, intelligent discovery tools, and data-driven insights to connect buyers, renters, brokers, and developers through a seamless, scalable digital experience.
 
 
 At its core, Dwelleo embeds AI directly into the product &mdash; powering pricing, recommendations, search, and decision-making across the entire property journey.
 
 
 
 About The Role
 
 
 
 You'll work across the full AI surface area of a live product. Your work will span classical ML (pricing, forecasting) and modern LLM systems (agents, RAG, voice), with real engineering expectations around reliability, observability, and production quality. Research here is always in service of shipping &mdash; experimentation exists to accelerate delivery, not replace it.
 
 
 You'll work within a dual-track Agile structure: a
 
 Research sprint
 
 for experimentation and model development, and an
 
 Engineering sprint
 
 for deployment, integration, and reliability work. You'll contribute to both.
 
 
 
 What You'll Do
 
 
 
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 <li>
 Ship predictive models for property price estimation, rent forecasting, and ROI analysis &mdash; from feature engineering through production deployment on AWS ECS with canary release practices
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 Build and maintain LLM-powered multi-agent systems, including deterministic state machines, scoring engines, guardrail layers, and escalation logic that runs reliably at scale
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 Develop and improve RAG pipelines with vector-based retrieval (FAISS, pgvector) for property search and AI-assisted advisory features
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 Expose AI capabilities as FastAPI microservices with autoscaling, versioning, and production-grade reliability
 </li>
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 Integrate and improve STT/TTS speech pipelines connected to telephony infrastructure &mdash; Arabic dialect support is a meaningful plus
 </li>
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 Own observability across the stack: drift detection, latency monitoring, alerting, and model performance dashboards
 </li>
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 Collaborate closely with product and engineering across both sprint tracks, translating research outcomes into shippable systems
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What we're looking for
 
 
 
 <ul>
 <li>
 3&ndash;6 years of hands-on experience in ML engineering, AI engineering, or a closely related role &mdash; with at least some of that time shipping to production
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 Strong Python skills with a track record of production deployment (not just notebooks)
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 Solid ML fundamentals: supervised learning, gradient boosting (XGBoost / LightGBM), feature engineering, model evaluation, and retraining workflows
 </li>
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 Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models) and practical RAG pipeline implementation
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 Experience building and deploying ML microservices using FastAPI
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 Working knowledge of CI/CD for ML workloads &mdash; you've set up or maintained pipelines using tools like GitHub Actions, MLflow, or equivalent
 </li>
 <li>
 Comfortable working in English; Arabic is not required but welcome
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
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 <li>
 STT/TTS integration or voice pipeline engineering &mdash; Arabic dialect experience is a strong plus
 </li>
 <li>
 AWS hands-on experience: ECS, S3, RDS
 </li>
 <li>
 Familiarity with geospatial data and similarity search (Ball Tree, FAISS, pgvector)
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 Background in lead scoring, content moderation, or recommendation systems
 </li>
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 Experience with MLflow, experiment tracking, or model registry workflows
 </li>
 <li>
 Real estate or PropTech domain exposure
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
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 Location: Fully remote
 </li>
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 Team: You'll report directly to the AI Team Lead
 </li>
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 Direct ownership of production AI systems with measurable user and business impact
 </li>
 <li>
 A technically ambitious environment working at the intersection of AI and one of the region's most active real estate markets
 </li>
 </ul>
</div>

AI Engineer

Magnet

<div>
 
 
 Employer Overview
 
 
 
 A global technology company specializing in advanced control room solutions that support mission-critical operations. Its unified platform, powered by AI and IoT, connects digital and physical systems to provide real-time operational intelligence, enabling organizations to move from reactive to proactive decision-making.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are looking for a Junior Backend Engineer to support the development of backend services and APIs. This role provides an opportunity to grow technical skills while working alongside experienced engineers on scalable software platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
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 Design and implement scalable, high-availability server-side applications and APIs.
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 Optimize database schemas and perform query tuning for maximum performance.
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 Implement secure data protection and user authentication protocols.
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 Integrate third-party services and maintain internal system interfaces.
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 Write clean, modular, and testable code with high unit test coverage.
 </li>
 <li>
 Collaborate with Frontend engineers to deliver seamless user experiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or related field.
 </li>
 <li>
 0&ndash;2 years of backend development experience.
 </li>
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 Problem solving
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 Collaboration and teamwork
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 <li>
 Node.js, Python, or Go
 </li>
 <li>
 SQL / NoSQL database design
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 <li>
 Backend development tools and software engineering platforms.
 </li>
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 Ability to develop backend features under supervision.
 </li>
 <li>
 Ability to write clean and maintainable code.
 </li>
 <li>
 Ability to collaborate within engineering teams.
 </li>
 <li>
 Fluent in
 
 English
 
 (written and spoken).
 </li>
 </ul>
</div>

Back End Developer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 </li>
 </ul>
</div>

AI Engineer, LIGHT

Accenture

<div>
 
 Role Overview:
 
 
 
 As an Oracle Data Loading Developer Consultant, you will design, develop, and maintain advanced data solutions to support data generation, collection, and processing. You will focus on creating efficient data pipelines, ensuring data quality, and implementing ETL processes for seamless data migration and deployment across systems. This role requires subject matter expertise, collaboration with cross-functional teams, and contributing to impactful decisions while providing innovative solutions.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Design and develop robust data solutions to optimize operational efficiency.
 
 </li>
 <li>
 Build and maintain reliable data pipelines, ensuring high performance and data quality.
 
 </li>
 <li>
 Implement ETL processes for effective data migration and deployment across systems.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement data-driven strategies.
 
 </li>
 <li>
 Conduct regular assessments to monitor and improve data quality.
 
 </li>
 <li>
 Stay updated with industry trends and best practices in data engineering.
 
 </li>
 <li>
 Provide solutions to complex problems within your team and across multiple teams.
 
 </li>
 <li>
 Contribute to key decisions and ensure alignment with organizational goals.
 
 </li>
 <li>
 Expert Proficiency: Oracle Data Integrator (ODI), Data Migrations, Data Access, Data Engineering, and Data Pipelines.
 
 </li>
 <li>
 Advanced Proficiency: Data Processing methodologies and tools.
 
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 </li>
 <li>
 Ability to collaborate effectively across teams and drive data-driven strategies.
 
 </li>
 <li>
 Commitment to maintaining high standards of data governance and quality assurance.
 
 
 
 </li>
</div>

Oracle Data Loading Developer-Consultant

<div>
 
 Overview:
 
 
 
 As an Oracle Data Conversion Lead at Accenture, you will play a pivotal role in designing, developing, and maintaining robust data solutions to support data generation, collection, and processing. Your responsibilities will include creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to facilitate seamless data migration and deployment across systems.
 
 
 You will act as a subject matter expert in Oracle Data Integrator (ODI) and Data Migrations, leveraging your expertise to guide and manage teams effectively. You will be responsible for driving team decisions, collaborating with multiple teams, and contributing to strategic initiatives while delivering innovative solutions to complex challenges.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Lead the design and implementation of data solutions that enhance operational efficiency and scalability.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective solutions.
 
 </li>
 <li>
 Develop and optimize data pipelines to ensure performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular assessments of data quality and implement improvements to maintain high standards.
 
 </li>
 <li>
 Stay abreast of industry trends, emerging technologies, and best practices in data engineering and Oracle Data Integration.
 
 </li>
 <li>
 Provide mentorship and guidance to team members, fostering a culture of collaboration and continuous improvement.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI).
 
 </li>
 <li>
 Expert proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing.
 
 </li>
 <li>
 Strong problem-solving skills with the ability to provide solutions across multiple teams.
 
 </li>
 <li>
 Excellent communication and leadership skills to manage and collaborate effectively with diverse teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Lead - Associate Manager

<div>
 As an Oracle Data Conversion Lead at Accenture, you will be at the forefront of designing, developing, and maintaining advanced data solutions to support data generation, collection, and processing. Your role will involve creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to enable seamless data migration and deployment across systems.
 
 
 In this position, you will act as a subject matter expert, leading and managing teams to deliver high-quality results. You will be responsible for driving team decisions, collaborating with multiple stakeholders, and contributing to strategic initiatives. Your expertise will be instrumental in solving complex challenges for your immediate team and across various teams.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Design and implement innovative data solutions to enhance operational efficiency and scalability.
 
 </li>
 <li>
 Develop and optimize data pipelines to ensure high performance, reliability, and data quality.
 
 </li>
 <li>
 Lead ETL processes for seamless data migration and deployment across systems.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement data-driven strategies that align with business objectives.
 
 </li>
 <li>
 Conduct regular assessments of data quality and implement necessary improvements to maintain high standards.
 
 </li>
 <li>
 Stay updated with industry trends, emerging technologies, and best practices to continuously improve data engineering practices.
 
 </li>
 <li>
 Mentor and guide team members, fostering a culture of collaboration and continuous learning.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI).
 
 </li>
 <li>
 Expert proficiency in Data Migrations, Data Access, Data Engineering, Data Pipelines, and Data Processing.
 
 </li>
 <li>
 Strong leadership and collaboration skills to manage teams and engage with multiple stakeholders effectively.
 
 </li>
 <li>
 Excellent problem-solving abilities to deliver innovative solutions across diverse teams and projects.
 
 
 
 </li>
</div>

Oracle Data Conversion lead- Associate Manager

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