Jobs

As a Cybersecurity Expert you are able to design, implement, and maintain secure digital environments that support the development and scaling of innovative energy solutions. The ideal candidate will combine technical depth with strategic thinking to ensure robust protection of our digital assets, products, and data. 

 

 

Key Responsibilities:

Develop and maintain resilient cybersecurity frameworks for cloud-based and on-premise systems.

Implement and monitor network, application, and data security measures.

Collaborate with product and engineering teams to integrate security by design in all digital solutions.

Ensure compliance with relevant standards and best practices.

Provide security guidance and incident response planning for partners in the energy sector.

Conduct comprehensive risk assessments and threat modeling to identify vulnerabilities and develop mitigation strategies.

Evaluate and recommend tools and technologies that enhance automation, monitoring, and compliance across systems.

 

 

Qualifications:

Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or equivalent experience.

Proven experience in cybersecurity architecture, infrastructure protection, and digital risk management.

Strong understanding of cloud security and DevSecOps principles.

Experience working with startups or technology companies in the energy or industrial sector preferred.

Excellent problem-solving, communication, and documentation skills.

Proficiency in automation, monitoring, and scripting tools.

Strong understanding of threat intelligence, incident response, and business continuity planning.

Excellent analytical, communication, and documentation skills — able to simplify complex concepts for diverse stakeholders.

 

Contract Type: Freelance (Remote)

Engagement: Part-time or project-based, with potential for ongoing collaboration.

 

 

If you’re passionate about building secure digital ecosystems that power the future of sustainable energy, Please send your CV that includes a short note about your experience, and examples of past security projects or frameworks you’ve implemented.

Thank you.

 

 

As an Energy Analyst you will be able to support the design, optimization, and analysis of data-driven energy solutions. This role requires a professional who can interpret complex datasets, model energy systems, and extract insights that guide strategic decisions. The ideal candidate combines analytical expertise, energy sector literacy, and digital fluency to help design smarter, more efficient, and more resilient energy operations.

 

Key Responsibilities:

Analyze energy consumption, generation, and system performance data to identify trends, inefficiencies, and opportunities for optimization.

Develop and maintain energy models and simulations to support strategic planning, forecasting, and project evaluation.

Conduct techno-economic analyses for renewable energy projects and digital transformation initiatives.

Collaborate with AI, data, and cybersecurity teams to integrate analytics into intelligent and secure energy solutions.

Collect and validate data from multiple sources ensuring data integrity and accuracy.

Prepare clear, data-backed reports and visualizations to communicate findings and recommendations to both technical and non-technical stakeholders.

Support the development of digital energy dashboards enabling clients to monitor performance and make informed decisions.

Stay current with policy developments, market trends, and innovations in renewable energy, smart grids, and data analytics.

 

Qualifications & Skills:

Bachelor’s or Master’s degree in Energy Systems, Engineering, Environmental Science, Data Analytics, or related field.

Proven experience in energy analysis, modeling, or consulting, ideally within renewable energy, utilities, or energy tech.

Strong proficiency in data analytics and visualization tools.

Familiarity with energy modeling software.

Knowledge of energy markets, renewable systems (solar, wind, storage), and efficiency metrics.

Experience in data management, forecasting, and optimization techniques.

Strong quantitative and problem-solving skills with the ability to translate data into actionable insights.

Excellent written and verbal communication skills.

Excellent analytical, communication, and documentation skills — able to simplify complex concepts for diverse stakeholders.

 

Contract Type: Freelance (Remote)

Engagement: Part-time or project-based, with potential for ongoing collaboration.

 

If you’re passionate about building secure digital ecosystems that power the future of sustainable energy, Please send your CV that includes a short note about your experience, and examples of past security projects or frameworks you’ve implemented.

Thank you.

 

As an AI Solutions Architect you are able to lead the design and deployment of end-to-end AI solutions — from concept and architecture to full implementation. This role involves both strategic system design and hands-on development, ensuring that all AI-driven products are technically sound, scalable, and production-ready. The ideal candidate will bridge business needs and technical execution, transforming data into impactful solutions that drive performance, automation, and sustainability.

 

Key Responsibilities:

Design and architect AI-driven systems that address business and operational challenges in the energy and technology sectors.

Develop, test, and deploy machine learning (ML) and deep learning (DL) models for predictive analytics, optimization, and automation.

Collaborate with cross-functional teams to integrate AI components seamlessly into digital products and infrastructure.

Oversee the full lifecycle of AI solutions — from data acquisition, model training, and evaluation to deployment and monitoring.

Ensure scalability, reliability, and ethical alignment of AI systems with company and regulatory standards.

Design data pipelines and infrastructure to support model training and inference in cloud or hybrid environments.

Implement MLOps best practices for continuous integration, versioning, and model governance.

Evaluate and select AI frameworks, tools, and technologies suitable for each use case.

Collaborate on digital product design, ensuring AI functionality supports the user experience and organizational goals.

Stay updated on AI advancements and assess emerging tools or techniques that can enhance solution effectiveness.

 

Qualifications & Skills:

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field (or equivalent experience).

Proven experience in AI/ML solution design, architecture, or development, preferably in startup or technology-driven environments.

Proficiency in Python, major ML/DL frameworks, and modern data tools.

Experience with end-to-end AI deployment — data preprocessing, feature engineering, model building, validation, API integration, and production rollout.

Strong understanding of cloud platforms and containerized environments.

Familiarity with MLOps, CI/CD pipelines, and data orchestration frameworks.

Experience integrating AI into web or software products.

Strong grasp of data governance, privacy, and ethical AI principles.

Excellent communication and documentation skills, able to translate complex concepts into practical strategies to stakeholders.

 

Contract Details: Freelance / Remote

Engagement: Project-based with potential for long-term collaboration.

 

If you’re passionate about building secure digital ecosystems that power the future of sustainable energy, Please send your CV that includes a short note about your experience, and examples of past security projects or frameworks you’ve implemented.

Thank you.