Shipping Companies

Cyprus

M.S. Security Group

Data Science, BI & Analytics

 AI & Machine Learning

Key Requirements<ul><li>Strong engineering and computer-science foundation, including software architecture, backend/frontend development, databases, APIs, integrations, and deployment practices.</li><li>Practical experience using advanced AI development tools such as Claude Code, Cursor, GitHub Copilot, Codex, or similar tools to accelerate planning, coding, debugging, refactoring, and documentation.</li><li>Ability to manage complex development projects end to end, from requirements and technical design through implementation, testing, deployment, documentation, and maintenance.</li><li>Strong understanding of AI/ML concepts, LLMs, prompt engineering, RAG, embeddings, AI APIs, model evaluation, and AI system limitations.</li><li>Ability to translate business and product needs into clear technical solutions and deliver working software with minimal supervision.</li><li>Strong ownership mindset, with the ability to work independently, make responsible technical decisions, and drive tasks to completion.</li><li>Ability to validate AI-generated work, identify risks, and ensure that AI-assisted development does not reduce code quality, maintainability, or security.</li></ul>&nbsp;Qualifications<ul><li>Degree in Computer Science, Software Engineering, AI, Data Science, or equivalent practical experience.</li><li>3+ years of software engineering experience, preferably with exposure to AI/ML, data pipelines, automation, or intelligent systems.</li><li>Strong Python experience and familiarity with at least one modern backend/frontend technology stack.</li><li>Experience working with APIs, databases, authentication, deployment pipelines, version control, and production environments.</li><li>Familiarity with AI frameworks, LLM APIs, vector databases, evaluation workflows, and model integration.</li><li>Experience using AI coding assistants or agentic development tools as part of daily engineering work.</li><li>Strong documentation, communication, and technical explanation skills.</li></ul>&nbsp;Main Responsibilities<ul><li>Design, build, and maintain AI-powered applications, internal tools, automation systems, and intelligent product features.</li><li>Lead development tasks from concept to production, including technical planning, coding, testing, deployment, and support.</li><li>Use advanced AI tools to accelerate development while maintaining code quality, security, reliability, and maintainability.</li><li>Build integrations with LLMs, AI APIs, machine-learning models, vector databases, and internal/external data sources.</li><li>Create clear technical specifications, implementation plans, and documentation that can be used by both humans and AI coding agents.</li><li>Evaluate AI outputs, validate model behavior, define guardrails, and ensure responsible use of AI in production systems.</li><li>Collaborate with product, R&amp;D, QA, DevOps, and management to convert business goals into working technical solutions.</li><li>Continuously improve development workflows by adopting modern AI-assisted engineering practices.</li><li>Review, debug, and refactor AI-generated or human-written code before production use.</li><li>Monitor production AI systems for performance, accuracy, cost, latency, failures, and user impact.</li></ul>&nbsp;Key Skills<ul><li>Full-stack engineering capability.</li><li>Strong Python and general software-development skills.</li><li>AI-assisted development using tools such as Claude, Cursor, Copilot, Codex, or equivalent.</li><li>System design and software architecture.</li><li>LLM integration, prompt engineering, RAG, embeddings, and AI workflows.</li><li>API development and system integration.</li><li>Database design, data handling, and data quality awareness.</li><li>Testing, debugging, deployment, and production support.</li><li>Strong analytical thinking and problem-solving ability.</li><li>Product thinking and ability to understand business needs.</li><li>Independent ownership and end-to-end delivery mindset.</li><li>Ability to manage AI tools safely, critically, and responsibly.</li></ul>&nbsp;What we offer<ul><li>Competitive salary package</li><li>13th salary</li><li>Private Health insurance</li><li>Pension Fund</li><li>Employee Benefit Card</li><li>Complimentary Lunch</li><li>A fast-growing and vibrant company</li><li>Great opportunities for career progression</li><li>Exciting company activities, including team-building outings, corporate gatherings, and events&nbsp;</li></ul>Application Instructions: To apply for this vacancy, please send your CV to <a href="mailto:careers@mano-security.com">careers@mano-security.com</a> quoting “AI/Data Engineer”.

AI/Data Engineer

AI/Data Engineer

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