Senior System Engineer

Join Kiefer Tech, a pioneering technology firm in the Green Energy sector with over 12 years of engineering excellence. We specialize in developing advanced AI, robotics, and enterprise solutions, ensuring data sovereignty within the EU. Our commitment to privacy and impactful business results drives our mission to create cutting-edge AI infrastructure, including the first true Greek Large Language Models and intelligent automation solutions. Collaborating with NVIDIA, we aim to enhance Greece’s technological sovereignty and innovation landscape. Be part of our journey to shape the AI-powered future.Your Role:As a Senior Machine Learning Engineer, you will be instrumental in designing, optimizing, and scaling our AI systems that power the Sophea and Kiefer multi-product platform. This position requires a blend of hands-on ML engineering expertise and collaborative systems thinking. You will focus on production-grade ASR pipelines, enhancing Greek-language LLM performance, and developing cost-effective inference solutions while establishing technical benchmarks and elevating our ML practices organization-wide.Your contributions will significantly enhance product performance, customer satisfaction, and our capacity to deploy AI solutions across various public and enterprise sectors in Greece and beyond.Key Responsibilities:Develop and scale production-grade ASR and LLM pipelines, optimizing throughput, latency, and reliability while ensuring compliance with data sovereignty requirements.Enhance model performance through dataset-centric optimizations, broadening Greek-language capabilities and domain-specific expertise.Architect and implement scalable multi-agent AI systems to automate complex enterprise document analyses and decision-making processes.Lead cost and performance optimization efforts for model inference, utilizing techniques like quantization, caching, and intelligent routing to lower costs.Establish and maintain ML engineering standards, including evaluation frameworks, CI/CD practices, testing protocols, and mentorship initiatives within the ML team.

Work Model: Hybrid | Employment Type: Full-timeAt Accepted, we specialize in software and digital transformation services that empower clients to drive innovation across various sectors such as Finance, Energy, Gaming, Telco, and more. With over 20 years of engineering excellence, we pride ourselves on delivering outcome-focused solutions and cultivating high-performance teams that integrate seamlessly with your operations.We are on the lookout for an experienced Senior Machine Learning Engineer to enhance our hybrid delivery teams.Key ResponsibilitiesDesign, implement, and deploy machine learning solutions tailored for document-intensive environments, emphasizing automation and intelligent document processing;Develop and refine NLP and LLM-based applications for document comprehension, including classification, entity recognition, and semantic search;Construct and oversee comprehensive ML pipelines, covering data preprocessing, training, evaluation, deployment, and monitoring;Work on document ingestion and processing workflows involving PDFs, scanned documents, and unstructured data, facilitating metadata extraction and indexing;Implement and enhance RAG pipelines and LLM integrations for enterprise knowledge management systems;Collaborate closely with product, engineering, and business teams to convert document management and operational requirements into scalable ML solutions;Contribute to the design and ongoing development of internal AI platforms and automation workflows;Ensure the performance, scalability, and reliability of ML systems within production environments;Support experimentation, model optimization, and the continuous enhancement of ML solutions.

Join Our Team at Kaizen GamingKaizen Gaming, the driving force behind Betano, ranks among the world's leading GameTech companies, operating across 20 markets. We are dedicated to leveraging advanced technology to deliver unparalleled experiences to our millions of customers who rely on us for their entertainment.Our diverse workforce comprises over 2,700 Kaizeners from more than 40 nationalities across three continents.We take pride in being recognized as one of the Best Workplaces in Europe and hold a Great Place to Work certification across our offices. Here, no two days are the same. Are you ready to Press Play on Your Potential?About the RoleAt Kaizen, our mission is to harness the capabilities of modern AI algorithms to enhance our products and business. The AI department, which includes product, platform, and research teams, is at the heart of this initiative. We craft AI solutions for a variety of applications, including fraud detection, personalized gaming recommendations, AI-powered co-pilots, and CRM enhancements.Our teams are structured to be self-driven, autonomous, and cross-functional. In this role, you will collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners, and Agile Delivery Leads.As a Senior Machine Learning Software Engineer, your focus will be on delivering robust and scalable Machine Learning pipelines while supporting the operationalization of Machine Learning models.Key Responsibilities:Work closely with data scientists to create production-ready model training pipelines.Design scalable solutions in a distributed environment.Architect scalable inference pipelines.Implement model diagnostics, including evaluation and monitoring flows.Automate model deployments and enable REST API model endpoints.Develop scalable model serving flows.Optimize clusters for performance and scalability.Develop and maintain internal tools and libraries.Create CI/CD/CT pipelines.

Optasia is an innovative B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to foster financial inclusion for everyone. Join us in transforming the financial landscape!We are on the lookout for passionate and driven professionals who thrive in a collaborative environment. As a member of our dynamic team, you will contribute to delivering innovative solutions that make a difference.Data plays a pivotal role in Optasia's growth strategy, with our ML Engineering team being a key contributor. We harness data from various sources into our extensive big data clusters and develop and manage multiple analytical pipelines using state-of-the-art big data technologies.As a Senior ML Infrastructure Engineer, you will play a crucial role in enhancing Optasia's data-driven decision-making and credit risk management by developing and optimizing scalable, end-to-end ML pipelines. Your key responsibilities will include: (i) building robust ML pipelines, (ii) designing statistical and machine learning algorithms, and (iii) operationalizing these solutions to bolster credit risk management, directly impacting Optasia's success.Your Responsibilities:Provide technical guidance in ML engineering to ensure the adoption of optimal tools and methodologies, staying ahead of emerging trends and delivering industry-leading solutions.Enhance the scalability, stability, accuracy, speed, and efficiency of ML workflows while maintaining stringent testing and code quality standards.Contribute to the design and development of microservices and tools that facilitate the Machine Learning lifecycle at Optasia.Collaborate on the design and implementation of scalable, real-time microservices utilized globally.Foster continuous improvements in the development lifecycle with the team.Design, develop, and maintain large-scale Spark jobs using PySpark and Scala.Build and manage CI/CD pipelines with Jenkins.Create automation scripts using Python or Bash.Develop and deploy scalable Airflow pipelines to support the Machine Learning lifecycle.Conduct data exploration and analysis to scope, build, and refine Machine Learning proof-of-concepts (PoCs).Partner with Engineers and the Credit Risk team to design and implement solutions that deliver business value at Optasia.Optimize the codebase through Spark job tuning and refactoring.Drive enhancements to our feature engineering engine for improved efficiency.

Optasia is a dynamic B2B2X financial technology platform that specializes in scoring, financial decision-making, disbursement, and collection. Our mission is to foster financial inclusion globally, as we are transforming the financial landscape.We are looking for passionate and energetic professionals who are results-oriented and possess a proactive mindset. Join our innovative team of like-minded individuals dedicated to delivering cutting-edge solutions in an exciting environment. At Optasia, data is central to our growth strategy, and our Data Engineering team plays a vital role in our success through data-driven insights and decision-making.As an ML & Data Ops Engineer at Optasia, you will be pivotal in ensuring the availability and performance of our workflows. You will monitor and optimize our existing data system infrastructure, prioritize issue resolution, and promote a culture of continuous improvement. Your contributions will be essential in maintaining high service standards and reinforcing our commitment to client success.Key Responsibilities:Oversee daily monitoring of ML workflows, service alerts, and all data system infrastructure, including storage, applications, databases, and resources.Act as an escalation point for critical ML and data incidents, diagnosing issues and resolving or escalating as needed.Champion continuous integration, continuous delivery, and automation practices to facilitate seamless software transitions from development to production.Manage customer inquiries efficiently to ensure prompt responses and resolutions within defined SLAs.Encourage a culture of continuous improvement by identifying enhancements in processes, tools, and technologies.Conduct health and quality checks of ML and data workflows to ensure operational excellence.Collaborate with cross-functional teams including ML/Data Engineering, Algorithmic Trading, and System & Network Administration to resolve internal and client-related issues effectively.Develop training materials and deliver sessions, maintaining comprehensive technical documentation.

Optasia builds B2B2X financial technology for scoring, decision-making, disbursement, and collections, with a focus on expanding financial inclusion worldwide. The company’s growth relies on data-driven strategies, and the Machine Learning Engineering team is at the center of this effort. The Machine Learning Infrastructure Engineer role supports automated decision-making and risk management. This position involves working with large data sets, integrating information from multiple sources, and managing analytical pipelines built on a modern big data technology stack. What you will do Build and maintain resilient machine learning pipelines that support business-critical decisions Design and develop statistical and machine learning algorithms for credit risk management Deploy and operationalize ML solutions to improve automated risk assessment and decision processes What we are looking for Strong experience with end-to-end machine learning workflows Background in developing and deploying advanced algorithms Motivation, energy, and a results-oriented approach Ability to thrive in a collaborative team environment This position is based in Athens, Greece, and offers the chance to make a direct impact on Optasia’s data-driven initiatives.

Kiefer Tech is the technology division of Kiefer, drawing on over 12 years of engineering experience in the Green Energy field. The team designs and delivers AI, robotics, and enterprise solutions for clients throughout Greece and the European Union. Project work includes building sovereign AI infrastructure with a focus on data privacy, deploying enterprise automation, and developing Greece’s first production-ready Large Language Models. Kiefer Tech emphasizes technical quality, innovation, and long-term relationships with clients. The company has a strategic partnership with NVIDIA, which brings together sustainable infrastructure and advanced AI systems. This collaboration aims to support Greece’s technological independence and deliver real-world benefits across multiple industries.

Satori Analytics builds data-driven AI solutions for clients in sectors such as fintech, airlines, FMCG, retail, manufacturing, and financial services. Headquartered in Athens, the company has a team of over 100 specialists, including Data Engineers and Data Scientists, who focus on delivering analytics that clarify business decisions. As a scale-up, Satori Analytics continues to grow its presence across South-Eastern Europe and beyond. Role overview The Senior MLOps Engineer will design and maintain the infrastructure required to bring machine learning models into production. This role ensures that models transition smoothly from experimentation to real-world deployment, supporting the reliability and scalability of AI solutions. Key responsibilities Develop and maintain infrastructure for deploying machine learning models at production scale, ensuring reliability and scalability. Build automated, reproducible ML pipelines for training, evaluation, deployment, and retraining, with strong version control practices. Package and serve models as production services across cloud, on-premise, or hybrid environments, focusing on performance and reliability. Monitor model performance, data drift, system health, and production signals to support retraining and troubleshooting. Collaborate with Data Scientists, AI Engineers, and Software Engineers to improve model testing, deployment, and maintenance processes. Contribute to standards for CI/CD, model registry, observability, security, and governance across ML projects. Support deployment and optimization of large language model (LLM) systems, including inference services and GPU resource management. Maintain strong access control, data governance, and operational resilience within ML deployments. Location This position is based in Athens, Attica, Greece.

Are you an enthusiastic IT Consultant with a strong focus on Artificial Intelligence (AI) and Machine Learning (ML)? We invite you to be a part of our innovative team at European Dynamics, working from our offices in Athens or remotely. This position offers a thrilling opportunity to engage in complex IT software projects for significant international public organizations, collaborating with a highly skilled team.Key Responsibilities: Engage in requirements gathering and contribute to creative brainstorming sessions; Draft functional and non-functional specifications; Analyze data from diverse sources to enhance product development and business strategies; Identify suitable models and algorithms for various business challenges; Develop Proof of Concept (PoC) and enterprise-level solutions; Participate in the complete software development lifecycle, including requirements analysis, design, implementation, testing, documentation, and system maintenance; Work in a multinational environment, maintaining high professional standards; Ensure the delivery of high-quality products. Qualifications: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Strong grasp of various AI and machine learning methodologies and their practical benefits and limitations; Solid understanding of data modeling and evaluation techniques; Familiarity with the machine learning lifecycle; Experience in Exploratory Data Analysis (EDA); Excellent analytical skills, team-oriented mindset, eagerness to learn and excel; proficient in written and spoken English. Preferred Qualifications: Experience with Big Data technologies like Spark (and PySpark); Proficiency in SQL and exposure to ETL development. Benefits:We value talent and commitment and offer the following benefits:Competitive full-time salary;Private Health Coverage as part of the company’s group program;Flexible Work Hours;Access to cutting-edge tools;Opportunities for Professional Development, including language courses, specialized training, and continuous learning;Career Advancement: Collaborate with some of the industry's most innovative specialists;Dynamic Work Environment: Meet challenging goals in a supportive setting that fosters personal and organizational growth.If you're seeking an exciting challenge, eager to work with advanced technologies, and enjoy a vibrant work atmosphere, we encourage you to apply! Please submit your detailed CV in English, quoting reference: (AIML/02/26).

Role overview Netcompany1 is looking for a Principal AI Engineer based in Athens. This position takes the lead in designing and delivering advanced artificial intelligence solutions. The Principal AI Engineer helps shape projects from the earliest planning stages through to launch, ensuring that products meet client objectives and reflect current technology trends. What you will do Lead AI projects from concept through to final implementation Collaborate with cross-functional teams to define and carry out AI strategies Offer technical leadership at every stage of development

Join us at Orfium as an AI/ML Research Engineer, where you will leverage your strong foundation in machine learning and artificial intelligence to innovate and elevate our technological capabilities. We are seeking an individual driven by curiosity and a passion for pushing the limits of existing technologies, diving deep into cutting-edge research, while rigorously analyzing academic literature and technical papers.We value self-motivated team members who consistently seek opportunities to introduce novel ideas and creative solutions. With a proactive mindset, you will take ownership of practical implementations that foster innovation at the intersection of research and application.Key Responsibilities:Design and develop innovative AI models and ML algorithms.Engage with state-of-the-art AI research and literature.Benchmark existing solutions and establish model/process baselines.Lead impactful projects with a results-oriented approach.Conduct in-depth research to explore new methodologies and techniques.Analyze complex datasets to derive valuable insights.Coach and mentor junior team members while fostering collaboration.Create comprehensive reports detailing experiments and analyses.Publish research findings in academic journals and conferences.

About Us: Aisera is pioneering the future of service management through our innovative AI-driven solutions. Our platform automates operations and support across IT, Sales, and customer service, enabling both businesses and users to achieve success with intuitive self-service resolutions. As a leading VC-funded startup based in Palo Alto, California, we are transforming the digital landscape with behavioral intelligence that fosters end-to-end automation. Our strategic partnerships with industry giants such as AWS, Microsoft Azure, Google Cloud, ServiceNow, and Salesforce position us at the forefront of technological advancement. We are proud to have received numerous accolades, including recognition from Forbes AI50, CNBC Upstart 100, and Gartner Cool Vendor, among others. Join us in reshaping the service experience! Your Role: As the AI/ML Tech Lead Engineer, you will spearhead research and development initiatives in machine learning, leveraging your expertise to drive innovation and the creation of production-ready ML systems. Collaborating closely with the AI Systems Tech Lead, you will mentor team members and integrate advanced AI solutions. Key Responsibilities: Lead ML research and development projects from inception to deployment. Design and implement cutting-edge ML/AI approaches, ensuring alignment with the latest research trends. Architect robust ML pipelines, training infrastructure, and model evaluation frameworks. Guide engineering decisions on model selection, feature engineering, and optimization techniques. Translate theoretical insights into actionable business solutions. Mentor junior ML engineers while establishing best practices for the team. Collaborate effectively with AI Systems Tech Leads to deliver optimized AI systems. Uphold data governance and privacy standards through established processes. Work in tandem with cross-functional teams to ensure AI/ML solutions meet organizational goals. Document and communicate findings clearly to both technical and non-technical stakeholders.

Satori Analytics develops data and AI solutions for clients in industries such as FMCG, retail, manufacturing, and financial services. With a team of over 100 technology professionals based in Athens, the company manages projects that span the entire data lifecycle, from ingestion through to deploying AI applications. Projects range from building cloud infrastructure for fintech clients to delivering predictive analytics for airlines. Role overview The AI Engineer designs and builds AI workflows and models, focusing on Python and large language models (LLMs). This role involves close collaboration with data scientists, developers, and domain experts to turn business needs into practical AI and machine learning solutions. The position combines research, hands-on engineering, and teamwork within a growing group. What you will do Design and implement AI models and workflows using Python, with a particular focus on large language models (LLMs). Collaborate with data scientists, software engineers, and subject matter experts to exchange ideas, review progress, and solve challenges together. Research new trends in AI and machine learning, applying relevant techniques to current projects. Translate business challenges into actionable machine learning or AI solutions, and communicate results clearly to stakeholders. Document code and processes to support clarity and reproducibility for the team. Location This position is based in Athens, Attica, Greece.

Are you an experienced Senior AI/ML Lead ready to tackle your next challenge? Join our innovative team at EUROPEAN DYNAMICS and embark on an exciting international career.Your Responsibilities:Steer the design and implementation of advanced ML models;Lead feature engineering, model experimentation, and validation;Define the technical strategy and architecture for a pioneering AI initiative;Work closely with data engineers and subject matter experts to develop the Proof of Concept (PoC) and final product;Create interpretable AI outputs that align with business operations;Develop initial prototypes and guide key technical decisions;Establish the groundwork for the expansion of our AI/ML team.Qualifications:Essential:Bachelor’s degree in IT or a related field;Over 5 years of experience in applied machine learning (including anomaly detection, fraud detection, risk scoring, and predictive analytics);Proficient in Python, ML frameworks, and hands-on data manipulation;Experience managing the entire ML lifecycle (from data to model to prototype);Capable of thriving in a small, agile, exploratory environment;Outstanding communication and problem-solving abilities;Fluency in English (additional European languages are advantageous).Desirable:Background in supply chain, customs, taxation, risk management, financial crime, or related fields;Experience with basic UI prototyping.What We Offer:At EUROPEAN DYNAMICS, we value talent and commitment. Here’s what you can expect as part of our team:Attractive full-time salary;Flexible hybrid working model;Comprehensive private health coverage as part of the company group program;Flexible working hours;Access to top-tier tools;Engagement with diverse, complex datasets across security, trade, and compliance;Opportunity for genuine ownership, autonomy, and innovative thinking;Grow alongside the team as we transition from PoC to production across Europe.If you're seeking an engaging challenge, eager to work with cutting-edge technologies, and enjoy your work, we encourage you to apply! Please submit your detailed CV in English, referencing the position: (SAIMLL/02/26).Explore our other job openings by visiting our career section on our website (www.eurodyn.com) and connect with us on Twitter (@EURODYN_Careers) and LinkedIn.EUROPEAN DYNAMICS (ED) is a leading European company in Software, Information, and Communication Technologies, operating worldwide (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, and more).

At Sunlight Group, we are at the forefront of revolutionizing energy storage solutions for industrial and advanced technology applications. Our commitment to performance and continuous improvement drives us to create innovative solutions that not only meet client needs but also contribute to a sustainable future. With a strong emphasis on environmental responsibility, we champion a culture of openness and respect in all interactions. Our customer-centric approach leverages data and insights to empower our clients and enhance our shared ecosystem. We embrace an entrepreneurial spirit, fostering an agile and collaborative environment that inspires our team through open communication, continuous learning, and opportunities for personal growth.Our Vision: Transforming Energy Storage Solutions to Power a Sustainable Tomorrow.Our Mission: We deliver cutting-edge, high-quality energy storage solutions for industrial and advanced technology applications, driving an all-electric future.We are seeking an AI Energy Systems Engineer to join our R&D Smart Energy Systems team. This role integrates artificial intelligence, energy management, and applied engineering to design and implement AI-driven solutions that optimize energy storage, distribution, and grid interaction across industrial, commercial, and renewable energy systems. As part of our team, you will contribute directly to the advancement of clean energy systems, collaborating with like-minded professionals dedicated to pioneering intelligent and sustainable infrastructure.Key Responsibilities:Design and deploy AI/ML models, including neural networks for load forecasting, energy storage optimization, anomaly detection in grid operations, predictive maintenance, and fault classification.Integrate machine learning pipelines into operational Energy Management Systems (EMS) and SCADA architectures.Develop and simulate electrical power system models and apply reinforcement learning or optimization algorithms to dynamic energy challenges.Create robust data pipelines and preprocessing frameworks for training on large datasets.

Join Our Innovative Team at Kaizen GamingKaizen Gaming, the dynamic force behind Betano, stands as one of the premier GameTech companies globally, serving 19 diverse markets. Our mission is to harness advanced technology to deliver unparalleled entertainment experiences to millions of satisfied customers.Our vibrant workforce consists of over 2,700 talented individuals from more than 40 nationalities spanning three continents.We take pride in being recognized among the Best Workplaces in Europe and are certified as a Great Place to Work in all our offices. At Kaizen Gaming, every day is a new opportunity to excel. Are you ready to Press Play on your career potential?About the RoleAs a Lead Data Scientist, you will spearhead our AI initiatives by analyzing complex datasets and developing machine learning models that drive our innovative AI products. The ideal candidate will possess an in-depth knowledge of machine learning algorithms and a proven track record of deploying ML/AI applications in production environments.Key Responsibilities:Convert product specifications into actionable machine learning tasks and pinpoint high-impact AI opportunities.Conduct comprehensive data analysis to unearth vital patterns and derive actionable insights.Execute exploratory data analysis (EDA) and feature engineering to facilitate the modeling process.Implement best practices in model selection, parameter tuning, and validation.Conduct comparative experiments to enhance model training.Analyze machine learning metrics to assess various solution options.Oversee the complete lifecycle of AI features, from data collection through model design to implementation and optimization in live environments.Mentor junior team members, sharing expertise and leading intricate projects.

Join a pioneering education technology leader and global powerhouse in the assessment and certification of professional skills, with a footprint in over 200 countries. If you are ready to take on a transformative role, apply now! We are on the hunt for a dynamic and innovative Head of Learning & Development (L&D) to spearhead our global learning initiatives. This position blends strategic vision with practical innovation, where you will be tasked with crafting and executing programs designed to boost organizational performance, enhance employee capabilities, and cultivate a culture of lifelong learning.If you have a passion for propelling growth through learning and a solid understanding of how data analytics, AI technologies, and digital learning frameworks can amplify results, we want to hear from you!Key Responsibilities:Design and implement a comprehensive global learning framework that aligns with our organizational strategy and promotes agile learning practices.Lead the development and execution of PeopleCert’s global learning and talent development strategy, ensuring it is in sync with our business objectives and cultural values.Oversee and continuously enhance our performance management processes, promoting a growth mindset and a culture of ongoing feedback.Create development pathways that encourage career advancement and readiness for leadership roles.Formulate and implement strategies that improve employee engagement, motivation, and a sense of belonging.Utilize employee engagement data, pulse surveys, and analytics dashboards to pinpoint opportunities for improvement and measure impact.Conduct annual training needs analyses using qualitative feedback and data analytics to identify emerging skills, competencies, and future readiness gaps.Develop and deliver modern, blended learning programs through e-learning, virtual classrooms, microlearning, and collaboration platforms.Integrate AI-driven learning technologies to enhance learning effectiveness and personalization while tracking performance trends, identifying skill gaps, and customizing learning journeys.Curate and produce engaging training materials across various media formats, including videos, e-learning modules, and interactive simulations.Collaborate with external learning providers and thought leaders to deliver innovative global learning experiences to PeopleCert.

Our Core Values: Trust | Respect | Team SpiritOur Key to Success: The exceptional individuals on our team, whose integrity and skills set us apart!We are on the lookout for an experienced Senior DevOps Engineer to join our innovative team. The ideal candidate will possess extensive hands-on experience with cloud technologies, automation, containerization, and application development. You will be instrumental in designing, deploying, and sustaining scalable solutions while collaborating with cross-functional teams.Position Overview:Your daily responsibilities will encompass:Designing, implementing, and maintaining CI/CD pipelines utilizing Azure DevOps / Azure Pipelines and Jenkins.Managing containerized applications with Docker or Podman.Deploying applications in RHEL Linux environments.Developing and maintaining automation scripts using Python.Configuring and sustaining JBoss / WildFly application servers.Building and managing applications based on Spring Boot and Node.js.Overseeing builds and dependencies with Maven.Working with Oracle databases and managing schema updates using Liquibase.Collaborating with development teams to ensure secure, reliable, and efficient deployments.

We are seeking a highly skilled Senior DevOps Engineer to join our dynamic team at Netcompany1. In this pivotal role, you will be responsible for implementing and maintaining scalable and efficient infrastructure solutions that support our development and operational processes. You will collaborate closely with software engineers and IT teams to automate processes and improve system reliability.Your expertise in cloud services, containerization, and CI/CD pipelines will be key in driving our projects forward and enhancing our DevOps practices. If you are passionate about technology and thrive in a fast-paced environment, we would love to hear from you!