Machine Learning jobs in United Arab Emirates

About Us:
We are an innovative team at the forefront of revolutionizing materials science through Integrated Computational Materials Engineering (ICME). Our mission is to accelerate alloy development, optimize manufacturing processes, and drive innovation in industries such as aerospace, automotive, and semiconductors. By combining advanced materials modeling and simulation with cutting-edge technologies like artificial intelligence (AI) and Large Language Models (LLMs), we are shaping the future of materials development.

Key Responsibilities:

• Design, develop, and maintain full-stack software tools for ICME-based materials modeling and simulation.
• Implement and optimize computational workflows that integrate multiphysics simulations, machine learning models, and data-driven frameworks.
• Develop and deploy microservices and API interfaces, particularly for applications involving LLMs.
• Support the development and implementation of solutions in cloud environments, such as Microsoft Azure.
• Collaborate with interdisciplinary teams, including data scientists, materials scientists, and engineers, to translate technical challenges into innovative software solutions.
• Ensure the scalability, robustness, and usability of software tools for research and industrial applications.
• Stay updated on advancements in ICME methodologies, AI, LLMs, cloud architectures, and emerging technologies.

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, Materials Science, or a related discipline.
• A minimum of 5 years of professional experience in software development within a corporate environment.
• Proficiency in Python and experience with CI/CD application development, API design, and microservices.
• Familiarity with materials modeling, numerical methods, or simulation software (e.g., Abaqus, COMSOL, OpenFOAM).
• Solid knowledge of testing methodologies (unit, integration, and system tests), linting tools (e.g., Flake8), version control systems (Git), and scripting (Bash/Shell/PowerShell).
• Experience with containerization and orchestration tools such as Docker, Kubernetes, or Kafka, and vector databases (e.g., Elastic).
• Additional experience in front-end development (e.g., Streamlit, React), data engineering, and MLOps platforms (Azure, AWS).
• Structured, detail-oriented, and pragmatic work approach with strong analytical and problem-solving skills.
• Team-oriented, curious, and proactive, with a passion for tackling challenges and exploring new technologies.
• Excellent written and verbal communication skills in English; German language proficiency is an advantage but not mandatory.
• Expertise in high-performance computing (HPC) or cloud-based simulation platforms.
• Specialized knowledge in materials systems.
• Experience with multiphysics simulations and understanding of process-structure-property relationships.

• A collaborative and innovative working environment with a flat hierarchy in a medium-sized, family-owned company.
• Exciting and challenging projects with significant contributions to the materials science field.
• Secure employment with a permanent contract in a rapidly growing company.
• Competitive compensation, corporate benefits, and above-standard contributions to a company pension scheme.
• Opportunities for professional growth, including access to advanced training and research collaborations.
• Flexible remote working arrangements and excellent on-site facilities when needed, including free parking.
• An open and inclusive corporate culture that values diversity and innovation.

Please submit your resume, cover letter, and a brief description of relevant projects or publications, along with your salary expectations and earliest possible start date, to career@fehrmann.tech.