Validation & Test Engineer with AI knowledge

New Terms AB

Quality Engineer to our client Are you an experienced quality engineer with a solid understanding of EU regulatory compliance and product certifications? We are now looking for a Quality Engineer for a consultancy assignment with an established international company with a strong digital presence and operations across multiple European markets. If you enjoy combining technical product knowledge with compliance work and supplier contact – this could be the assignment for you. About the assignment Our client is an international company with a strong market position, a broad product portfolio and operations in multiple countries. You will be responsible for quality assurance and product compliance for hard goods within a specific product category, with a focus on certifications and EU regulatory adherence. You will report to the QA & Compliance Manager and work closely with commercial teams, suppliers, logistics and internal stakeholders. Responsibilities Product compliance & certification Manage the certification process including validation of test reports and creation of Declaration of Conformity (DoC). Maintain documentation related to product compliance and EU regulations such as CE and EUDR. Quality assurance Identify root causes of quality issues, customer complaints and product-related claims. Manage product inspections and release goods for shipment. Ensure correct product labelling and creation of manuals and instructions. Product development & supplier contact Collaborate with commercial teams on new product developments through risk assessments, sample reviews and technical specification creation. Act as the main contact to suppliers regarding quality and compliance matters. Guidelines & internal support Maintain and update quality guidelines such as the Quality Manual when laws, standards or internal procedures change. Support internal teams with in-depth product knowledge on relevant standards, certifications and applicable processes. We are looking for someone who Is structured, analytical and detail-oriented with high professional integrity in supplier relations. You are self-organised, flexible and comfortable in an environment where processes and ways of working are continuously evolving. You have strong collaboration skills and are used to working cross-functionally with multiple internal and external stakeholders. Requirements & qualifications Degree in a relevant technical field such as Engineering, Product Development, Quality Management or Product Compliance – or equivalent experience Minimum 4–5 years of relevant experience within quality assurance, product compliance, certification or supplier quality management Experience with EU product compliance and applicable standards such as GPSR, REACH, RoHS, RED, Battery Regulation, WEEE, EUDR and PPWR Good knowledge of Microsoft Office (Excel, Word, PowerPoint) Strong problem-solving and analytical skills Strong cross-functional collaboration skills Meriting experience Experience from consumer products such as hard goods, electronics, PPE or other regulated product categories Experience with technical documentation, risk assessments and supplier quality processes Experience with Adobe Illustrator, Photoshop/InDesign or CAD software Location & scope Stockholm - 100% Application To apply for assignments via Jappa, you need to create a consultant profile on our platform and submit your application. By doing so, your profile will also become visible to other clients looking for commercial and specialist consultants for future assignments. Spend 10–15 minutes creating your profile today to be considered for exciting opportunities. We have replaced traditional recruitment with a smart marketplace, industry expertise, quality-assured processes and AI. The result is clearer matches, faster responses and happier consultants and clients alike. With Jappa, finding the right assignment is simple. We give you access to a wide range of opportunities within e-commerce and tech – from shorter freelance assignments to longer engagements and permanent roles. Jappa is a talent-as-a-service solution where you, as a consultant, are at the centre. We always strive to match you with assignments where you can truly make a difference and grow.

Ferritico AB

Senior Materials Informatics Engineer Location: Hybrid Company: Ferritico Employment type: Full-time Ferritico is looking for a Senior Materials Informatics Engineer to develop, validate, and productize physics informed machine learning models for advanced materials, with a strong focus on steel, metallurgy, heat treatment, phase transformations, and process-property relationships. This is a mid- to senior-level technical role for someone who enjoys working at the intersection of materials science, computational modeling, machine learning, and product development. About the role You will contribute to the development of computational and machine learning models for metals and metallurgical applications. The role involves translating materials science expertise into clear model logic, validation workflows, technical requirements, and product features. You will help ensure that scientific models are technically sound, well-documented, validated, and aligned with real industrial engineering needs. Key responsibilities Develop computational and ML-based models for steel metallurgy, heat treatment, transformation temperatures, phase transformations, microstructure evolution, and process-property relationships. Define model assumptions, expected behavior, validation datasets, limitations, and acceptance criteria. Improve AI model performance by integrating materials science expertise and physics-informed modeling approaches. Identify data correlations between process, structure, and properties in steel processing and industrial applications. Retrieve, structure, clean, and curate materials data from literature, synthetic datasets, experiments, and other sources. Use Python-based workflows for data treatment, model execution, input preparation, output analysis, and visualization. Test AI software outputs and benchmark results against other simulation or modeling tools. Communicate model behavior, limitations, and results clearly to both technical and non-technical stakeholders. Contribute to documentation, testing, validation reports, and technical decision-making. What we are looking for We are looking for someone with a strong background in materials science, computational materials science, or physical metallurgy. The ideal candidate has: A PhD in Materials Science, Metallurgy, Computational Materials Science, or a related field; or an MSc with relevant experience in materials modeling. Strong understanding of physical metallurgy, preferably including steels, heat treatment, phase transformations, microstructure evolution, and process-property relationships. Experience developing, using, or validating computational models for materials behavior. Familiarity with materials data, alloy compositions, thermal histories, transformation kinetics, or microstructure-property relationships. Ability to use Python for scientific scripting, data treatment, and model prototyping. Strong communication skills and the ability to explain complex materials concepts in a multidisciplinary team. Nice to have Experience with any of the following would be highly valuable: Steel phase-transformation modeling, TTT/CCT diagrams, JMAK kinetics, carbide precipitation. CALPHAD, pycalphad, or similar tools. Alloy design, ICME workflows, ML applied to materials science. Product ownership, technical leadership, or experience translating scientific models into user-facing tools. Data analysis using NumPy, pandas, matplotlib, scikit-learn, Excel-based workflows, or similar tools. This role could be a strong fit if you Recently completed a PhD involving computational or experimental materials modeling. Have an MSc and several years of experience building or using materials models. Enjoy combining materials science with scripting, data analysis, and practical software development. Want to work close to product development rather than only research. Are excited about helping shape digital tools for the future of steel and advanced materials. Why join Ferritico? At Ferritico, you will be part of a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. You will have the opportunity to influence both the scientific foundation and the product direction of tools used for advanced materials development and manufacturing. We value teamwork, curiosity, technical excellence, and clear communication. Not sure you meet every requirement? We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute. How to apply Please send your CV and a short note describing your motivation for the role, along with your relevant experience in materials science, metallurgy, computational modeling, or materials informatics, to: contact@ferritico.com (Please include the job title in the email subject line)

ACADEMIC WORK SWEDEN AB

As a Data Engineer at Kreditz, you will have a multifaceted and vital role. You will step into one of Europe’s fastest-growing FinTech scaleups and take full ownership of the company’s Data Warehouse, pipelines, and reporting enablement. We believe this role is perfect for someone who loves building scalable data infrastructure and wants to work close to both product and real business impact. Here, you will become part of a driven organization with endless opportunities for growth! About the role You will be part of the Product team and play a crucial role in Kreditz’s continued growth journey. At Kreditz, data is not just a support function – it is the core of the entire product. The company turns raw bank transactions into real-time insights that power credit and risk decisions across Europe. As a Data Engineer, your mission is to build, evolve, and maintain a scalable, reliable, and high-performing data platform. You will work closely with the business to strengthen the data foundation and enable smart, cost-efficient reporting and analytics for both internal and external stakeholders. What Kreditz Offers You A unique growth journey: The chance to be part of a once-in-a-lifetime journey from startup to global scaleup. Real impact: A role where everyone in the team plays a crucial part in the company’s success, and where you get true ownership of the data infrastructure. A strong company culture: A fun-loving, driven, and passionate work environment that celebrates progress, humility, and teamwork – we win together. Perks & Benefits: 24/7 access to a gym, sauna, and sports facilities at the office, plus a wellness allowance and a competitive base salary. Work tasks You will be responsible for the end-to-end data lifecycle, from maintaining the DWH architecture to ensuring data quality for both analytical and operational needs across the company. Maintain and enhance the Data Warehouse architecture for scalability and cost-efficiency Design and build robust ETL/ELT pipelines within the AWS ecosystem Automate internal reporting and create self-service data environments for stakeholders Manage AWS services including Glue, Redshift, Athena, and Lambda Implement monitoring and validation frameworks to ensure data integrity Collaborate with DevOps and Backend teams to align infrastructure Support AI and ML models by assisting with specialized data pipelines We are looking for BSc / MSc in a quantitative subject, i.e., Physics, Engineering, Mathematics, Computer Science or equivalent. Proven experience working as a Data Engineer or in a similar role focusing on data infrastructure. Strong practical engineering skills with a solid foundation in SQL and programming (e.g., Python). Strong hands-on experience with AWS (specifically services like Redshift/Snowflake, S3, Glue, and Lambda). Solid understanding of data warehousing concepts (e.g., Star Schema, Kimball) and modern data stack tools. Experience with orchestration tools (e.g., Airflow, Dagster) and CI/CD workflows (i.e., GitHub Actions). Ability to translate complex technical data structures into clear insights for non-technical stakeholders. Professional fluency in English, both written and spoken, as this is the company’s working language. It is meritorious if you have Experience with Infrastructure as Code (Terraform). Experience from FinTech, Open Banking, or working with highly regulated data. Familiarity with BI tools (e.g., AWS QuickSight, PowerBI...etc) To succeed in the role, your personal skills are: Orderly Stable Responsible Intellectually curious Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.