Job Summary: We are seeking an experienced and detail-oriented HR Operations Specialist to support and enhance our HR operations across the European market . This role will be responsible for executing core HR processes, ensuring compliance with European labor laws, supporting employee lifecycle activities, and driving process improvements across multiple countries. Key Responsibilities: HR Operations Management Administer day-to-day HR operations including onboarding, offboarding, payroll support, and HR documentation. Maintain and update HRIS and personnel files in compliance with GDPR and local regulations. Support employee queries regarding HR policies, benefits, and procedures. Cross-Country HR Coordination Collaborate with country-specific HR partners to ensure alignment with local employment laws and practices. Standardize and streamline HR processes across the European region. Compliance & Policies Ensure HR activities comply with EU labor regulations and country-specific legal requirements. Assist in developing and updating HR policies, handbooks, and compliance documentation. Data & Reporting Generate regular HR metrics and reports (e.g., headcount, turnover, absenteeism). Conduct audits to ensure data integrity and identify process improvement areas. Employee Relations Support employee relations matters in coordination with country HR leads. Help mediate employee issues and support investigations where necessary. Project Work Participate in or lead regional HR projects (e.g., HRIS implementation, M&A integrations, DE&I, ESG, or well-being initiatives). Contribute to process automation and digitalization of HR functions. Required Qualifications: Bachelor's degree in Human Resources, Business Administration, or related field. 3+ years of experience in HR operations, preferably in a multinational or European-wide context. Solid understanding of European labor legislation and GDPR. Experience with HR systems Strong organizational, analytical, and communication skills. Fluent in English

As an AI Developer, you will be responsible for designing, developing, optimizing, and implementing AI systems to meet business requirements. You will monitor the performance of deployed scalable AI models and frameworks, making necessary adjustments or updates to enhance accuracy and reliability. In case of any issues or bugs during operation, you will address them promptly. Collaborating with cross-functional teams, you will analyze business needs, define problems, and identify the goals and requirements of AI systems. Working closely with the development team, you will ensure seamless AI development and integration. You will define APIs and protocols for communication between AI systems and external services. It will also be part of your responsibility to document AI models and infrastructure, processes, and practices for reference. You will present progress to the leadership team and stakeholders. Implementing strong data security and privacy measures for data handled in AI applications will be crucial. Staying current with emerging AI research and technologies is essential. You will initiate innovative solutions and improvements to advance our AI capabilities. Additionally, you will conduct training sessions and share knowledge and expertise in AI with the team. Requirements: - Bachelor's degree in Computer Science, IT, Data Science, or related field - 1-2 years of experience in AI development, Natural Language Processing, and Large Language Models - Proven track record of deploying AI models in production - Proficiency in programming languages such as Python, JavaScript, or C++ - Experience in JAVA is a plus - Knowledge of SQL and NoSQL databases - Experience with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch, Scikit-learn) - Familiarity with machine learning models & algorithms, cloud computing platforms (AWS, Microsoft Azure, Google Cloud Platform), containerization (Docker, Kubernetes), deep learning, Natural Language Processing (NLP), and/or Natural Language Generation (NLG) - Eagerness to learn and continuously expand knowledge in emerging fields - Strong interpersonal and communication skills with a willingness to collaborate with different teams.,

You will be responsible for designing, developing, optimizing, and implementing AI systems to meet business requirements. Your role will involve monitoring the performance of deployed scalable AI models and frameworks, making necessary adjustments or updates to enhance accuracy and reliability. You will collaborate with cross-functional teams to analyze business needs, define problems, and identify the goals and requirements of AI systems. Additionally, working closely with the development team will be essential to ensure seamless AI development and integration, defining APIs and protocols for communication between AI systems and external services. Documenting AI models and infrastructure, processes, and practices for reference, as well as presenting progress to the leadership team and stakeholders, will also be part of your responsibilities. Ensuring strong data security and privacy measures for data handled in AI applications is crucial. Staying updated with emerging AI research and technologies, initiating innovative solutions and improvements to advance AI capabilities, and conducting training sessions to share knowledge and expertise in AI with the team will be key aspects of your role. To qualify for this position, you should have a Bachelor's degree in Computer Science, IT, Data Science, or a related field. You must have 1-2 years of experience in AI development, Natural Language Processing, and Large Language Models. A proven track record of deploying AI models in production is required. Proficiency in programming languages such as Python, JavaScript, or C++ is essential, with experience in JAVA considered a plus. Knowledge of SQL and NoSQL databases, as well as familiarity with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch, Scikit-learn) is necessary. Experience with machine learning models and algorithms, cloud computing platforms (AWS, Microsoft Azure, Google Cloud Platform), containerization (Docker, Kubernetes), deep learning, and concepts of Natural Language Processing (NLP) and/or Natural Language Generation (NLG) is expected. An eagerness to learn and continuously expand knowledge in emerging fields, along with strong interpersonal and communication skills and a willingness to collaborate with different teams, are also important qualities for this role.,