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Responsibilities:<ul><li>Translate business requirements into ERP functional and configuration requirements</li><li>Participate in analyzing customer needs and identifying opportunities for improvement</li><li>Liaise with the R&amp;D department for developing custom solution components when required</li><li>Provide ongoing support to our growing customer base of Pylon ERP software implementations</li><li>Manage testing and documenting of the ERP software configuration</li><li>Perform customer needs analysis and participate in business process solutions design and architecture</li><li>Compose development specifications and interact with customers to test modifications and resolve any issues that may arise</li><li>Be in charge of the completeness and quality of functional design</li><li>Provide user training to customers</li></ul> Requirements:<ul><li>At least 3 - 4 years experience in providing ERP software solution Services</li><li>Experience in Pylon ERP is a considerable plus</li><li>Computer Science or Economics or Finance&nbsp;Degree or equivalent</li><li>Strong presentation, communication (both written &amp; oral) skills</li><li>Strong ability to convey technical information to non-technical customers</li><li>Self - direction, attention to detail &amp; great customer focus</li><li>Excellent command of English, both written and oral</li><li>Preferred knowledge in SQL &amp; Javascript</li></ul> We Offer:<ul><li>Multi-awarded working environment (Fortune’s 100 Best Companies to Work For in Europe 2024,&nbsp;10 Best Workplaces Hellas,&nbsp;4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2&nbsp;Best Workplace in Technology&nbsp;Awards)</li><li>Competitive remuneration package</li><li>Ongoing training, opportunities &amp; career development</li><li>Private medical insurance</li><li>Psychological support line</li><li>Online personal- training programs</li><li>Free participation in Epsilon Training &amp; Epsilon College educational programs</li><li>Hybrid working model</li></ul>

ERP Consultant Thessaloniki

Your Tasks<ul><li>End user support for customers (remote)</li><li>Qualification and dispatching of incoming support requests</li><li>Incident solution (1st Level)</li><li>Microsoft client system support and adaptations to existing systems in the Microsoft server environment</li><li>Support IMAC for Customers</li><li>IT-support (1st Level) for colleagues</li></ul>Your Profile&nbsp;Your Know-how<ul><li>Fluency in spoken and written German</li><li>Fluency in spoken and written English</li><li>Completed training or studies in the field of IT or comparable professional experience</li><li>Basic knowledge of network technology, DNS/DHCP and Windows Server operating systems</li><li>Experience in supporting Microsoft Office and Windows client operating systems</li></ul>&nbsp;Your Personality<ul><li>Distinct customer and service orientation</li><li>Self-sufficient and organized way of working</li><li>Strong team and communication skills</li><li>Solution-oriented mindset and reliable manner</li></ul>We Offer<ul><li>30 days of vacation&nbsp;(regardless of the length of service)</li><li>Private health insurance for our employees and their dependents (spouse/children)</li><li>In-depth, comprehensive training (approx. 1-3 months) in Germany at our expenses included one monthly flight back to Greece during the whole training period</li><li>Go for EAT - Ticket restaurant card</li><li>Modern hybrid way of working, characterized by flexible working arrangements</li><li>Team-oriented working environment and a broad variety of tasks in an international and diverse team, based on trust and transparency</li><li>Continuous opportunity for personal and professional development and learning</li><li>Personal company hardware</li><li>Free snacks and beverages</li></ul>

German Speaking IT Support / Helpdesk 1st/2nd Level (m/f/d) - Thessaloniki

The Senior Embedded Engineer will be responsible for the design, development, testing, certification and manufacturing process of addressable panels on emergency lighting, addressable fire alarm and central battery systems. You will work in a dynamic environment and be part of a workplace where your day to day will involve working as a team on world-class products.Your key responsibilities include<ul><li>Designing firmware solutions based on project requirements</li><li>Coding using C language</li><li>Contributing to schematic design and managing PCB layout</li><li>Contributing to firmware architecture and development, engineering tests and product validation</li><li>Drafting the technical documentation related to the firmware and hardware code (Doxygen, Confluence)</li></ul>What you bring to the team:<ul><li>Master's or Bachelor’s degree in Electrical or Electronics Engineering, Applied Computer Science or related technical field</li><li>Proven industry experience in the end-to-end development life cycle, from the initial concept to production (including architecture, design, development, debugging, documentation, and validation)</li><li>Minimum 5 years of C coding experience in embedded firmware</li><li>Minimum 5 years of experience in the field of electronics</li><li>Deep understanding of embedded architecture concepts (CPU core, internal and external memories, CPU peripherals)</li><li>Experience programming MCUs and RTOS such as FreeRTOS</li><li>Experience with Cortex-M Processors (M0, M0+, M3, M4, M7)</li><li>Experience identifying hardware requirements based on firmware requirements</li><li>Experience in version control (Git) and issues tracking (Jira)</li><li>Experience in designing schematics on analog, digital and power electronics domain</li><li>Experience in serial protocols (UART, SPI, I2C)</li><li>Ability to navigate, understand &amp; adapt large existing codebases</li><li>Ability in risk assessment and problem solving during the product’s life cycle development&nbsp;</li><li>Ability to use block diagrams, conceptual sketches, pseudo-code and other techniques of project designing</li><li>Excellent team working skills is a must, both internally within the R&amp;D department as well as across departments</li><li>Fluency in English both written and spoken</li></ul>Nice to have:<ul><li>Good knowledge of PCB design guidelines for achieving EMC with minimal EMI</li><li>Familiarity of object-oriented programming concepts, preferably in C++</li><li>Familiarity of Web concepts (Ethernet, WiFi, Cloud Services, Cyber Security)</li></ul>What we offer:<ul><li>The opportunity to work on high-end projects, for products distributed worldwide to major clients</li><li>A chance to join a globally established company with skills development opportunities and an excellent working environment</li><li>Flexible working hours</li></ul>Send your resume,&nbsp;mentioning the position you are applying for, to&nbsp;cv@olympia-electronics.grThank you for your interest in Olympia Electronics, and good luck!&nbsp;

Senior Embedded Engineer, R&D, Thessaloniki

As a Staff AI Engineer, you will set the technical vision and lead the delivery of advanced Generative AI and agent-based solutions across the organization. Operating at a global scale, you will drive innovation, mentor senior engineers, and ensure the development of robust, scalable, and responsible AI systems that deliver real business value.You will collaborate closely with:<ul><li>Senior software and AI engineers, and solution architects across multiple teams</li><li>Product managers, business stakeholders, and platform teams to align technical solutions with strategic objectives</li><li>Cross-functional partners to drive adoption of best practices and organizational standards</li></ul>Why this Role MattersThis role is pivotal in shaping the organization’s AI strategy and technical excellence. Your leadership will accelerate the adoption of cutting-edge AI technologies, foster a culture of innovation, and ensure that AI solutions are safe, reliable, and impactful at scale.<ul><li>Oversee Technical Delivery: Lead and advise on multiple GenAI and agent projects, ensuring technical excellence, scalability, and reliability across solutions</li><li>Guide Technical Strategy: Set and communicate best practices for GenAI and agent systems, influencing organization-wide standards and technical direction.</li><li>Mentor and Develop Talent: Mentor senior engineers, facilitate knowledge transfer, and drive organizational development through coaching and technical leadership</li><li>Evaluate Emerging Trends: Continuously assess new AI technologies and methodologies for strategic fit, recommending adoption where appropriate.</li><li>Ensure Responsible AI: Design and enforce policies, guardrails, and controls for safety, privacy, and compliance; embed governance into the delivery lifecycle.</li><li>Drive Innovation: Lead the development and orchestration of advanced GenAI features and products, including prompt design, multi-step flows, tool/agent integration, and API wiring.</li><li>Collaborate Across Functions: Engage in organizational development and strategic planning, partnering with stakeholders to align technical solutions with business objectives.</li><li>Own Product Lifecycle: Oversee the full AI engineering product lifecycle, from architecture and prototyping to productionization, launch, governance, and ongoing operations.</li></ul>Basic Qualifications<ul><li>Advanced degree in Computer Science, Engineering, or a related field.</li><li>7+ years of experience in AI, ML, or software engineering roles, with at least 2 years in a senior or staff-level capacity (2+ years of experience with a PhD in Computer Science, Engineering, or a related discipline)&nbsp;</li><li>Strong proficiency in Python and modern AI frameworks (e.g., LangChain, AI Foundry, or similar toolkits).</li><li>Deep experience with cloud platforms (Azure, AWS, or GCP) and MLOps/LLMOps tools.</li><li>Proven track record in designing, building, and operationalizing GenAI solutions, including prompt engineering, RAG architectures, and multi-agent workflows.</li><li>Solid understanding of data pipelines, APIs, vector databases, and model deployment.</li><li>Demonstrated ability to lead technical delivery across multiple projects and mentor senior engineers.</li><li>Experience implementing software engineering best practices: clean architecture, modular code, API design, automated testing, CI/CD, cloud/container orchestration, security, and performance tuning.</li></ul>Preferred Qualifications<ul><li>PhD in Computer Science, Engineering, or a related discipline.</li><li>Pharmaceutical, healthcare, or consulting industry experience.</li><li>Expertise in Generative AI, Large Language Models, and adjacent technologies.</li><li>Experience developing and delivering AI-driven PoCs and MVPs at enterprise scale.</li><li>Strong analytical and problem-solving skills with the ability to navigate complex technical and business challenges.</li><li>Experience in technical strategy, organizational development, and cross-functional collaboration.</li></ul>&nbsp;&nbsp;

Staff AI Engineer 4949290

As an AI Engineer, you will be reporting to the Head of Applied AI Engineering at the AI Center of Excellence division. You will play a key role in building, optimizing, and operationalizing AI solutions across the enterprise. Working within the Applied AI Engineering organization, this role focuses on designing robust, scalable, and reusable components that enable rapid experimentation and reliable deployment of AI capabilities.Design &amp; Development •Develop and maintain AI engineering components, pipelines, and reusable frameworks supporting enterprise use cases. • Implement and optimize solutions leveraging LLMs, RAG architectures, and multi-agent workflows. • Build APIs, services, and interfaces connecting AI models with enterprise applications. Collaboration &amp; Integration • Partner with data scientists, solution designers, and software engineers to translate prototypes into production-grade implementations. • Contribute to cross-pillar work across Applied AI Engineering’s different teams to ensure cohesive, high-quality delivery. • Participate in technical design reviews and support integration with internal platforms and enterprise systems. Quality &amp; Standards • Follow and contribute to Applied AI Engineering (A2E) standards, coding best practices, and documentation protocols. • Support evaluation, testing, and monitoring to ensure safety, reliability, and compliance of deployed AI solutions. • Document components, patterns, and processes to facilitate reuse and knowledge transfer.BASIC QUALIFICATIONS<ul><li>5+ years of experience in AI, ML, or software engineering roles.</li><li>Strong proficiency in Python and modern frameworks such as LangChain, AI Foundry or similar AI toolkits.</li><li>Experience working with cloud platforms (Azure, AWS, or GCP) and MLOps/LLMOps tools.</li><li>Solid understanding of data pipelines, APIs, vector databases, and model deployment.</li><li>Proven ability to work in collaborative, cross-functional environments.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Pharmaceutical/healthcare industry or consulting experience, along with strong project management skills strongly preferred.</li><li>Expertise in Generative AI, Large Language Models and adjacent technologies.</li><li>Proven track record of developing and delivering AI-driven PoCs and MVPs.</li><li>Strong analytical and problem-solving skills with the ability to navigate complex technical and business challenges.</li></ul>&nbsp;&nbsp;

AI Engineer III 4949289

As an AI Engineer III, you will be at the forefront of innovation—continuously scouting, testing, and assessing emerging AI technologies. Your work will enable rapid prototyping and proof-of-concepts (PoCs) to evaluate technical feasibility and business impact. Acting as “customer zero,” you will help de-risk opportunities before major investment and maintain competitive intelligence through strategic ecosystem partnerships. This role is critical in shaping enterprise AI capabilities that drive transformative outcomes.Exploration &amp; Innovation<ul><li>Continuously research and evaluate emerging AI technologies, frameworks, and tools.</li><li>Lead rapid prototyping and PoCs to validate technical and business value.</li><li>Serve as an early adopter and internal champion for new AI capabilities.</li></ul>Design &amp; Development<ul><li>Develop and maintain AI engineering components, pipelines, and reusable frameworks supporting enterprise use cases.</li><li>Implement and optimize solutions leveraging LLMs, RAG architectures, and multi-agent workflows.</li><li>Build APIs, services, and interfaces connecting AI models with enterprise applications.</li></ul>Collaboration &amp; Integration<ul><li>Partner with data scientists, solution designers, and software engineers to translate prototypes into production-grade implementations.</li><li>Contribute to cross-pillar work across Applied AI Engineering’s different teams to ensure cohesive, high-quality delivery.</li><li>Participate in technical design reviews and support integration with internal platforms and enterprise systems.</li></ul> Quality &amp; Standards<ul><li>Follow and contribute to Applied AI Engineering (A2E) standards, coding best practices, and documentation protocols.</li><li>Support evaluation, testing, and monitoring to ensure safety, reliability, and compliance of deployed AI solutions.</li><li>Document components, patterns, and processes to facilitate reuse and knowledge transfer.</li></ul>BASIC QUALIFICATIONS<ul><li>5+ years of experience in AI, ML, or software engineering roles.</li><li>Strong proficiency in Python and modern frameworks such as LangChain, AI Foundry or similar AI toolkits.</li><li>Experience working with cloud platforms (Azure, AWS, or GCP) and MLOps/LLMOps tools.</li><li>Solid understanding of data pipelines, APIs, vector databases, and model deployment.</li><li>Proven ability to work in collaborative, cross-functional environments.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Pharmaceutical/healthcare industry or consulting experience, along with strong project management skills strongly preferred.</li><li>Expertise in Generative AI, Large Language Models and adjacent technologies.</li><li>Proven track record of developing and delivering AI-driven PoCs and MVPs.</li><li>Strong analytical and problem-solving skills with the ability to navigate complex technical and business challenges.</li></ul>&nbsp;&nbsp;

AI Engineer III (ΑΙ Innovation) 4949288

As a&nbsp;Junior Software Engineer, you will assist in the development, implementation and management of technology-based business solutions to improve our clients’ delivery approach.Responsibilities:<ul><li>Supporting the technical design process by participating in the analysis of technical application requirements.</li><li>Assisting in implementing analyses that will identify requirements related to people, processes &amp; technology.</li><li>Participating in execution and documentation of tests.</li><li>Executing conversion plans and documenting possible improvements; identifying disruptions in the processes.</li><li>You will be coding, testing and implementing configuration changes and assisting in the design of software applications to meet both functional and technical requirements.</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>BSc or MSc Degree in Computer Science, Software engineering or related discipline</li><li>Experience in object oriented programming languages (Java, c# etc.)</li><li>Ability to work as a team member and ability to work creatively and analytically in a problem-solving environment</li></ul>

Junior Software Engineer for Arηs Greece, Part of Accenture

As a Solution Engineering Data Engineer Specialist for PSSP, you will play a hands-on role in developing and supporting data integration solutions that enable seamless data flow across multiple platforms. You will work with CRM systems (Salesforce, Polaris), omnichannel tools (AWS Connect, NICE), and third-party data sources to support the ingestion and transformation of data into the PSSP data warehouse. Your work will directly support Pfizer’s digital and data-first strategy, driving innovation and operational excellence.What You Will AchieveIn this role, you will:<ul><li>Develop and maintain data enablement processes (ingestion, preprocessing, transformation) for PHI/PII data from platforms such as Polaris CRM, IQVIA, AWS Connect, and Specialty Pharmacy Providers.</li><li>Build and support scalable data pipelines and ETL processes using tools like AWS Glue, Informatica, Snowflake, and Python.</li><li>Support platform operations through hands-on DevOps tasks (CI/CD, monitoring) and vendor coordination.</li><li>Develop and deliver reporting and dashboards for key programs, ensuring timely and accurate insights.</li><li>Collaborate with cross-functional teams to ensure data integrity, quality, and operational efficiency.</li><li>Troubleshoot and resolve data integration issues; conduct root cause analysis and implement corrective actions.</li><li>Create and maintain technical documentation for integrations (DTAs/DIAs), deployment guides, and data flow diagrams.</li><li>Stay current on new features and enhancements in CRM/OCC/third‑party platforms and data tools; recommend improvements.</li><li>This is a hands-on technical role requiring attention to detail and the ability to work across teams to ensure data integrity and operational efficiency.</li></ul>Here Is What You Need (Minimum Requirements)<ul><li>Bachelor’s degree in information management, Computer Science, Engineering, or related field.</li><li>2-4 years of experience in data engineering, data integration, or software development.</li><li>Experience with ETL tooling (e.g., AWS Glue, Informatica) and data warehousing (e.g., Snowflake); proficiency in Python and SQL.</li><li>Familiarity with CRM systems (Salesforce, Polaris) and omnichannel tools (AWS Connect, NICE).</li><li>Strong analytical and problem‑solving skills; ability to communicate technical concepts to non‑technical audiences.</li><li>Proficiency with Microsoft Office tools (Word, PowerPoint, Excel); experience with Jira/Confluence is a plus.</li></ul>Bonus Points If You Have (Preferred Requirements)<ul><li>Experience in pharmaceutical environments and with PHI/PII handling, HIPAA compliance, and secure data transmission.</li><li>Familiarity with Agile methodologies (e.g., Scrum, SAFe) and DevOps practices.</li><li>Experience with AWS services (Glue, S3, Lambda), Snowflake optimization, and dashboarding tools.</li><li>Strong attention to detail and commitment to data quality and documentation standards.</li></ul>&nbsp;&nbsp;

Senior Associate, Solution Engineering Patient Support Services Platform (PSSP) Data Engineer 4949789

We are looking for a passionate and forward-thinking AIO Executive to boost our brand’s visibility across AI platforms such as ChatGPT, Gemini, and Claude. Working closely with the Content and Marketing teams, you will optimise content for AI-generated responses, strengthen our brand authority, and ensure accuracy and consistency across all AI touch points. If you are excited about the future of marketing in the age of AI and want to shape how users discover our brand through conversational platforms, this role is for you.&nbsp; <h2>The main responsibilities of the position include:</h2><ul><li>Perform Artificial Intelligence Optimisation (AIO) to improve brand presence and visibility across AI chatbots (e.g., ChatGPT, Gemini, Claude).&nbsp;</li><li>Develop and refine content designed for AI-generated responses, ensuring clarity through structured summaries, FAQ-style formatting, and well-defined information.&nbsp;</li><li>Build and sustain topical authority by strategically incorporating citations, reputable references, and credible sources.&nbsp;</li><li>Strengthen local authority through collaboration with Regional Marketing teams, create content in local languages and secure mentions from trusted local media and digital outlets to boost visibility in generative AI results.&nbsp;</li><li>Define and monitor key performance indicators (including visibility in AI-generated content, citation frequency, and engagement data) and provide actionable insights to stakeholders.&nbsp;</li><li>Partner with AI monitoring platforms (e.g., Otterly.AI or equivalent) to track and analyse how the brand is referenced in AI model outputs.&nbsp;</li><li>Apply prompt engineering techniques and technical content formatting (such as schema markup and structured data) to enhance Large Language Model (LLM) comprehension and accuracy.&nbsp;</li><li>Ensure factual accuracy, content integrity, and compliance through regular audits of AI-generated material.&nbsp;</li><li>Develop and update AIO frameworks, best practices, and operational guidelines for use across Marketing teams.&nbsp;</li><li>Coordinate AIO initiatives with Content Marketing, SEO, and other Marketing departments to maintain consistent brand messaging and conversational AI alignment.&nbsp;</li><li>Keep abreast of the latest trends and advancements in generative AI technologies, optimisation tools, and methodologies, adapting AIO strategies accordingly.&nbsp;</li></ul><h2>Main requirements:</h2><ul><li></li><li>Bachelor's degree in Digital Marketing or related field. &nbsp;</li><li>Minimum of 5 years’ experience in SEO, including at least 1&nbsp;year focused on AIO with a strong interest in AI-powered platforms and LLMs&nbsp;</li><li>Strong understanding of generative AI behaviour, LLM functionality, and how AI consumes content&nbsp;&nbsp;</li><li>Experience in the online trading or fintech industry will be considered an advantage. &nbsp;</li><li>Excellent communication and interpersonal skills. &nbsp;</li><li>Ability to work independently and collaborate within a team, prioritize tasks, and manage multiple projects in a fast-paced environment. &nbsp;</li><li>Excellent written and verbal communication skills in English. &nbsp;</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package</li><li>Private health insurance&nbsp;</li><li>Corporate pension fund&nbsp;</li><li>Intellectually stimulating work environment&nbsp;</li><li>Continuous personal development and international training opportunities&nbsp;</li></ul><h2>The Hiring Experience: What Awaits You</h2><ul><li></li></ul><ul><li>Let’s Connect – Intro Chat with Talent Acquisition&nbsp;</li><li>Deep Dive – First Interview with Your Future Team&nbsp;</li><li>Bring It to Life – Role-Specific Take-Home Task&nbsp;</li><li>Get Closer – Second Interview with the Future Team&nbsp;</li></ul>

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