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Wide and Wise

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2 open rolesTeam 2-10Latest: Apr 27, 2026, 3:28 PM UTC
Human Resources Services
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Role Description We’re looking for a DFM Engineer to join our partner’s company! In this role, you will be part of the Project Engineering team, working closely with customers, manufacturing partners, and internal stakeholders to evaluate manufacturability, optimize designs, and ensure successful project execution. This position plays a critical role in solving engineering challenges, improving production feasibility, and supporting high-quality, cost-effective manufacturing outcomes. - Evaluate customer designs for manufacturability (DFM) and provide improvement recommendations - Optimize designs based on production capabilities, cost efficiency, and technical feasibility - Collaborate with manufacturing partners to ensure smooth production processes - Support production troubleshooting and resolve technical challenges during order execution - Act as a technical interface between customers, suppliers, and internal teams - Contribute to sourcing strategies to balance cost, quality, and delivery performance - Support initiatives to strengthen the manufacturing partner network and technical capabilities Qualifications - Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or a related field - 2–4 years of experience in an engineering or manufacturing environment - Hands-on experience in manufacturing engineering, preferably in CNC machining and/or sheet metal fabrication - Strong understanding of process cycle times, material limitations, and cost optimization - Experience working with suppliers, OEMs, and cross-functional teams - Proficiency in 3D CAD tools (SolidWorks preferred) - Solid knowledge of GD&T and quality/inspection processes - Ability to analyze CAD models and technical drawings to identify DFM improvements - Based within the CIS region Requirements - Knowledge of multi-axis CNC machining and turning operations - Familiarity with post-processing techniques and surface treatments - Experience with advanced manufacturing processes such as EDM, grinding, or similar methods - Understanding of fabrication and forming processes (cutting, bending, welding, stamping) - Exposure to additive manufacturing technologies Benefits - A dynamic and collaborative work environment within a fast-growing, global organization - Opportunity to work on international projects across multiple industries - A strong team culture that values collaboration, ownership, and continuous improvement - Structured onboarding and learning opportunities - A flexible and fast-paced work environment

Asia + 1 moreAll locations: Asia | Eastern Europe
Job Closed

We are seeking a highly skilled Vision-Language Model (VLM) Engineer to design, develop, and deploy state-of-the-art multimodal AI systems. You will work at the intersection of computer vision and natural language processing, contributing to cutting-edge products that combine image and text understanding. Key Responsibilities: Design and implement vision-language models for tasks such as image captioning, visual question answering, and cross-modal retrieval Train, fine-tune, and evaluate multimodal models using large-scale datasets Optimize model performance for scalability and real-world deployment Collaborate with cross-functional teams including data scientists, software engineers, and product managers Stay up to date with the latest research in multimodal AI and apply it to production systems Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field Strong experience with Python and deep learning frameworks (e.g., PyTorch or TensorFlow) Solid understanding of machine learning, computer vision, and NLP concepts Experience with multimodal models or related architectures (e.g., transformers) Familiarity with handling large datasets and distributed training Preferred Qualifications: Experience with models such as CLIP, BLIP, or similar multimodal architectures Knowledge of model deployment (Docker, APIs, cloud services) Publications or contributions to AI research projects Experience working with real-world AI applications

Turkey