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As a Lead Mainframe engineer, you will play a key role in ensuring the continuity, resilience, and operational excellence of re-platformed mainframe middleware and production-control services supporting critical enterprise workloads.You will lead operational and engineering activities across middleware and batch-processing platforms, ensuring service stability while driving modernization, service improvements, upgrades, and controlled decommissioning initiatives. Acting as a senior technical authority, you will coordinate closely with IBM, application teams, platform owners, and operational stakeholders in highly critical 24x7 environments.You will also lead a small team of engineers, providing technical guidance, operational oversight, and coordination across platform activities while engaging directly with stakeholders and client representatives to gather requirements and support platform roadmap initiatives.Your role:<ul><li>Own the end-to-end technical service for re-platformed middleware and production-control platforms across production, non-production, and disaster recovery environments.</li><li>Lead and mentor a small team of engineers, providing technical leadership, operational guidance, and coordination of day-to-day platform activities.</li><li>Act as the primary technical point of contact for stakeholders, client representatives, and operational teams, gathering requirements and translating business needs into reliable technical solutions.</li><li>Lead Stonebranch UAC and batch operations activities, including scheduling standards, post-batch support, bundle promotion governance, and resolution of cross-domain batch-processing issues.</li><li>Drive service improvements, platform upgrades, cluster and scheduler health initiatives, and operational standards across highly critical enterprise services.</li><li>Act as the command point for high-severity incidents, out-of-hours change windows, root cause analysis activities, and cross-team operational coordination.</li><li>Coordinate closely with IBM, Stonebranch, infrastructure teams, and application owners to ensure operational continuity and service resilience.</li><li>Support disaster recovery readiness, service recovery testing, and operational governance activities across the platform landscape.</li><li>Guide the controlled migration, modernization, or decommissioning of legacy batch-processing services while protecting production stability.</li><li>Define and maintain standards for availability, operational excellence, monitoring, service governance, and platform reliability.</li><li>Collaborate with platform teams and application stakeholders to proactively manage dependencies, operational risks, and service continuity requirements.</li></ul>Your profile:<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).</li><li>6-8 years of experience in relevant roles.</li><li>Extensive experience managing enterprise middleware and batch-processing platforms within large-scale production environments.</li><li>Strong expertise in re-hosted middleware services and production-control ecosystems, including technologies such as MQ, CICS/TX, Stonebranch UAC, scheduling platforms, and cross-platform operational tooling.</li><li>Strong experience supporting Linux-hosted middleware environments, DB2 LUW interfaces, queue and log monitoring, and disaster recovery operations.</li><li>Strong understanding of operational standards, root cause analysis, change-window governance, service continuity, and platform resilience practices.</li><li>Experience leading modernization, migration, or decommissioning initiatives within critical enterprise platforms.</li><li>Proven ability to lead small technical teams and coordinate multiple stakeholders, vendors, and operational groups.</li><li>Strong stakeholder-management and communication skills, with the ability to gather requirements and align technical solutions with business needs.</li><li>Comfortable operating within highly critical, governance-driven, and cross-functional enterprise environments.</li><li>Fluent in English (written and spoken).</li></ul>

Lead Mainframe SRE

Intellectica is recruiting an AI Foundation Model Specialist on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data &amp; AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.Key activities and responsibilities of this role include:&nbsp;<ul><li>Leading the end-to-end design, development, and delivery of advanced AI solutions, ensuring alignment with business objectives and scalable technology standards</li><li>Developing, testing, and deploying Generative and Agentic AI applications, including agent-based workflows</li><li>Implementing Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, advanced prompting strategies (e.g., few-shot, chain-of-thought), fine-tuning techniques, and integrate both open-source and general-purpose AI systems</li><li>Collaborating with AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure)</li><li>Cooperating with Data &amp; AI Architects to design robust and scalable AI product architecture</li><li>Optimizing AI applications for performance, scalability, and accuracy</li><li>Coaching and mentoring junior AI Engineers in developing and integrating key AI application components</li><li>Any other task that may be required from time to time</li></ul>Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset</li><li>Minimum of 2 years’ hands-on programming experience in Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning, Deep Learning, or related fields</li><li>Proficiency in programming languages such as Python, Java, or C++</li><li>Hands-on experience with Large Language Models (LLMs) such as GPT, Bard, or LLaMA, as well as image generation systems like DALL·E, Stable Diffusion, or MidJourney</li><li>Solid understanding of core Generative AI principles, including fine-tuning, prompt engineering, and integration of open-source and general-purpose AI systems</li><li>Proven ability to architect and operate solutions built on core LLM and Generative AI technologies, including open-source frameworks, Azure OpenAI, and Amazon Bedrock</li><li>Strong background in RESTful APIs and microservices-based architectures</li><li>Familiarity with GPU-based computing infrastructure, relational and NoSQL databases as well as cloud services related to AI/ML&nbsp;will be considered a plus</li><li>Fluent in Greek with professional-level English communication skills</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Strong creative problem-solving skills, with a focus on addressing real-world business challenges</li><li>Comfortable working within a global, highly collaborative team environment</li><li>Demonstrated leadership skills, setting clear priorities and driving effective execution</li><li>Clear and confident communicator across cross-functional teams and stakeholders</li><li>Proactive, dependable, and results-driven professional mindset</li></ul>

AI Foundation Model Specialist

Intellectica is recruiting an experienced and highly skilled Principal Data Scientist on behalf of a newly established AI &amp; Machine Learning startup, which will be integrated into a leading group of companies operating in the aerospace, defense, and high-technology sector. This startup aims to develop cutting-edge AI-driven solutions tailored to the aerospace and defense industry. This role reports directly to the CTO and plays a central role in defining and executing the company’s data science strategy.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Architecting innovative data science solutions that ensure scalability, robustness, and reliability across diverse domains</li><li>Leading product-level modeling strategies end-to-end, from research and prototyping to production deployment and monitoring</li><li>Defining and promoting best practices across the data science lifecycle, aligned with the company’s MLOps operating model</li><li>Coaching and mentoring senior data scientists, fostering skill development and consistency across teams</li><li>Collaborating with ML and Site Reliability Engineers to shape the AI infrastructure roadmap and technology portfolio</li><li>Advising on business development strategy, identifying market opportunities where AI offers a competitive edge</li><li>Translating complex operational challenges into data-driven solutions for public sector clients and partners</li><li>Driving exploration and adoption of emerging technologies such as distributed LLM inference, foundational model fine-tuning, and simulation-based ML</li><li>Contributing to the development of Verification &amp; Validation methods for AI in safety- and mission-critical contexts</li><li>Ensuring secure and responsible use of AI across all projects</li><li>Representing the company in external conferences, expert panels, and consortia, leading thought leadership in defense-focused AI</li></ul>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>PhD or equivalent graduate degree in Data Science, Machine Learning, Computer Science, Statistics, Informatics, or a related quantitative field</li><li>Minimum 8 years of experience in advanced data science and machine learning, with a strong track record of production-level solution delivery</li><li>Deep proficiency in Python and its ML ecosystem (e.g., Pandas, NumPy, PyTorch, TensorFlow, Hugging Face)</li><li>Expertise in full ML workflows including data engineering, model design, training, deployment, and lifecycle management</li><li>Proven experience with large-scale or distributed ML systems (e.g., Ray, PyTorch Lightning, Horovod)</li><li>Demonstrated proficiency in at least two of the following: large language models, computer vision, multimodal learning, generative AI</li><li>Hands-on experience integrating ML models into operational systems with real-time performance monitoring</li><li>Familiarity with cloud-native and high-performance computing environments (AWS, Azure, GCP, or on-prem HPC)</li><li>Experience with computer vision algorithms (e.g., R-CNN, YOLO)</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Excellent communication and interpersonal skills to engage effectively with internal and external stakeholders across all levels</li><li>Strategic thinker with ability to align research with mission needs</li><li>Inspiring leader and mentor across data science teams</li><li>Fast and creative prototype builder</li><li>Decisive in ambiguous, high-stakes situations</li><li>Resilient and adaptable in dynamic environments</li><li>Collaborative and alignment-driven across teams and partners</li></ul>

Senior Data Scientist

&nbsp;Our People, Our Energy!&nbsp;<h2>The Company</h2>MORE (Motor Oil Renewable Energy)&nbsp;is a subsidiary company of the&nbsp;Motor Oil Group&nbsp;and is dynamically active in the field of clean energy production &amp; management. MORE’s vision is, through the innovative development of its units and services, to produce more clean energy, and create more alternatives for a sustainable future for all. Having as guarantee the credibility and confidence inspired by the Motor Oil Group’s name, as well as the stability and financial health, MORE dares and invests, looking to the future. We strive to develop our people to their highest potential, through continuous learning and assignment of challenging projects.At&nbsp;Motor Oil Group, our people are our energy!We support the Greek economy with exports to over 75 countries, thousands of employees, and continuous new investments. We work together to shape the future of energy and we focus on developing and empowering our people, cultivating their talents that will shape our future journey towards the energy transition.<h2>Starting with the role:</h2>Currently we are searching to hire a&nbsp;SCADA &amp; IT Specialist who will be responsible for ensuring the optimal performance and compliance of SCADA systems across various renewable energy installations while collaborating with different departments to gather requirements. This position also involves cybersecurity compliance monitoring, ensuring system connectivity, troubleshooting issues, and managing documentation related to network installations.<h2>During your day you will:</h2><ul><li>Collect and analyze the needs of various departments to accurately specify the SCADA system's capabilities.</li><li>Continuously monitor the connectivity and operational performance of SCADA systems across different renewable energy installations</li><li>Specify and manage Internet Service Provider (ISP) services to ensure stable and reliable data transmission for SCADA systems.</li><li>Provide guidance and support to site technicians and operational teams for the troubleshooting and resolution of SCADA-related issues.</li><li>Develop and maintain comprehensive documentation for all SCADA system installations, network architectures, and configuration settings.</li><li>Ensure seamless integration of SCADA systems with industrial equipment, such as PLCs (Programmable Logic Controllers), and industrial communication protocols, including Modbus, IEC-104, DNP3, and OPC UA.</li></ul><h2>What you need to stand out:</h2><ul><li>Bachelor’s degree in information technology, Electrical Engineering, or a related field.</li><li>Master Degree in related fields will be considered an asset</li><li>Minimum of 5 years of experience in SCADA system management and IT infrastructure within the renewable energy sector.</li><li>In-depth knowledge of SCADA systems</li><li>Strong understanding of cybersecurity principles, especially in relation to industrial control systems (ICS).</li><li>Experience with ISP service specifications, network connectivity, and troubleshooting in a renewable energy context.</li><li>Fluency in English (verbal and written)</li><li>Proficient in all MS Office software especially Word, Excel, Power Point</li><li>Strong problem-solving skills and the ability to manage multiple tasks simultaneously.</li></ul>&nbsp;&nbsp;Our Compass is the #ACTION#A_uthenticity#C_ompassion#T_eamwork#I_ntegrity#O_wnership#N_ever giving up&nbsp;&nbsp;What gives us energy:<ul><li>Friendly and fast paced environment, being always at the heart of the #action</li><li>Continuous learning to empower our teams</li><li>Career Development opportunities across the Motor Oil Group</li><li>Competitive compensation package</li></ul>&nbsp;&nbsp;*We @Motor Oil Group are an equal opportunity employer.Our hiring decisions are based solely on qualifications, merit, and business needs. We recruit, employ, train, and promote individuals without regard to race, color, religion, disability, sex, sexual orientation, gender identity, national origin, age, genetic characteristics, or any other protected status. Our commitment is to maintain an inclusive and diverse workforce where everyone has the opportunity to succeed.

Job Ads Infrastructure Engineer Central Greece, Information Technology / It - Page 2

lead mainframe sre

NΤT Data

ai foundation model specialist

Intellectica

senior data scientist

Intellectica

scada & it specialist

Motor Oil

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