Machine Learning Engineer at HumanI

Municipality of Marousi, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

3500.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Model Development, AI Solutions, Python, Git, ML Algorithms, Model Evaluation, Generative AI, MLOps, CI/CD, Docker, Kubernetes, Cloud Services, Azure, Relational Databases, NoSQL

Industry

Human Resources Services

Description

Mission To develop intelligent machine learning solutions that enhance decision-making across the financial ecosystem, enabling organizations to operate more efficiently, responsibly, and transparently. You will collaborate with engineering and data teams to translate AI innovation into reliable, production-ready systems supporting modern fintech platforms. You will have the opportunity to work on real-world AI products in production, collaborating closely with experienced engineers and data scientists while continuously expanding your expertise in modern machine learning and generative AI technologies. --- humani is proud to partner with one of Greece’s leading fintech technology groups. With over 25 years of experience, the organization has established itself as a top provider of advanced software solutions to the financial sector. Its platforms support financial institutions in over 30 countries, helping banks and lenders manage credit and loan portfolios efficiently while ensuring regulatory compliance. Through advanced solutions that combine analytics, artificial intelligence, and digital technologies, the company supports the entire credit and lending lifecycle, staying at the forefront of fintech innovation. The culture emphasizes technical curiosity, collaboration, and continuous learning, empowering engineers to explore emerging technologies while delivering tangible value to clients. --- Responsibilities Design, develop, and maintain machine learning models and AI-driven solutions supporting next-generation fintech products. Collaborate with software engineers, data scientists, analysts, and product teams to integrate machine learning capabilities into production systems. Contribute to ML pipelines covering data preparation, model training, evaluation, and inference workflows. Support deployment and monitoring of machine learning models using modern MLOps practices. Participate in product design discussions, experimentation, and prototyping, focusing on AI-powered features. Evaluate emerging machine learning and generative AI frameworks to assess their potential applicability in production. Document models, experiments, datasets, and operational processes to ensure maintainability, transparency, and auditability. Contribute to best practices in machine learning lifecycle management, supporting reliable model deployment and continuous improvement. 4–6 years of experience in machine learning engineering or applied data science roles on algorithmic product design. Hands-on experience developing and deploying machine learning models in production environments. Strong programming skills in Python, with experience using version control systems such as Git. Solid understanding of machine learning algorithms, model evaluation techniques, and interpretability concepts. Exposure to Generative AI frameworks or modern ML ecosystems is a plus. Familiarity with CI/CD pipelines, Docker, Kubernetes, and modern MLOps practices. Understanding of cloud services and ML workloads, with Azure experience considered a plus. Knowledge of relational databases, and ideally exposure to NoSQL or data lake systems used in AI applications. Nice Additions Experience in financial services, fintech, or regulatory compliance environments is an advantage. Familiarity with Linux systems and command-line tools for ML model deployment and experimentation. Strong collaboration and communication skills in English; Greek is considered an advantage. What the Company Offers Competitive salary package 3200 - 3500 gross euros monthly Meal benefits: Ticket restaurant (120 euros x 12) and annual bonus programs. Private health insurance and onsite occupational doctor Cutting-edge IT equipment, mobile, and data plan. Modern facilities, free coffee, beverages, and indoor parking. Onsite gym, wellness facilities, and ping pong room. Flexible work arrangements curently on 50% - 50% ratio working from home ABOUT US: Founded in 2018, HumanI is an Executive Search firm, satisfying the needs of organizations for C-level, Senior and Middle positions, or specialised projects in the Engineering and Software functions. In parallel, through our partnerships we support HR Digital Transformation initiatives and build data analytics to facilitate informed decision making. Our competitive advantage stems from the collaboration of diversified people with backgrounds in HR, Psychology, Coaching, IT and Finance. Our brand “HumanI”, stands for Human Intelligence, encompassing our belief that no matter how multifaceted, digitally advanced or artificially intelligent a system may seem, it will always be a creation of 𝗛𝘂𝗺𝗮𝗻𝘀. This human aspect and ethical part of our work makes us unique in what we do. Ethical Headhunting; treating our candidates as our true clients, investing time and effort, consulting them on their careers. Supporting our companies as genuine strategic partners, investing in understanding their own internal needs and market trends. Each person is 𝗨𝗡𝗜𝗤𝗨𝗘 to us. After all, talent resides in deviations; embracing it, is the only way forward. Become follower of our LinkedIn to get hand picked top level jobs and articles of your interest: https://www.linkedin.com/c

Responsibilities

The role involves designing, developing, and maintaining machine learning models and AI-driven solutions for next-generation fintech products. This includes collaborating with engineering teams to integrate these capabilities into production systems via robust ML pipelines.