5 Generative Design Jobs

We are looking for a passionate Mechanical Engineering professional with solid technical foundations and a growth mindset to educate learners in Industry 4.0 technologies. This role involves training individuals in areas such as 3D printing, CAD modeling, design optimization, generative design, and introductory AI/ML programming in Python. Whether you are an experienced engineer or an enthusiastic fresher, this position offers a unique opportunity to combine mechanical expertise with cutting-edge digital tools and influence the future generation of engineers. Structured training and mentorship will be provided to help you excel in this role. Key Responsibilities - Conduct engaging training sessions on: - 3D printing technologies and additive manufacturing workflows - CAD modeling, including sketching, solid modeling, and STL generation - Slicing tools and part printing processes - Topology optimization and generative design techniques - Basics of Industrial IoT (IIoT), such as sensors and actuators - Fundamentals of Artificial Intelligence in manufacturing - Basic Python tasks like reading data files, basic visualizations, regression, and classification - Assess learner performance, administer evaluations, and offer constructive feedback - Collaborate with content and academic teams to improve training delivery quality Required Qualifications - Bachelor's degree in Mechanical Engineering, Mechatronics, or a related field - Proficiency in CAD tools like Fusion 360, SolidWorks, or similar software - Familiarity with 3D printing workflows and STL formats - Basic knowledge of any programming language (Python is preferred) - Excellent communication skills and the ability to effectively engage with learners Preferred Attributes - Eagerness to learn and enhance skills through onboarding processes - Strong collaboration and communication skills - Capability to simplify complex subjects for diverse learners - Adaptable, self-motivated, and detail-oriented - Freshers with strong technical foundations are encouraged to apply Why Join Us - Receive training on advanced tools and teaching methodologies - Work at the intersection of mechanical engineering and digital innovation - Inspire future engineers with real-world applications and emerging technologies - Grow in a supportive, learning-focused environment Note: Application Question(s): What is your current salary This is a full-time position located in person.,

We are looking for a passionate Mechanical Engineering professional with strong technical foundations and a growth mindset to train learners in Industry 4.0 technologies. This includes 3D printing, CAD modeling, design optimization, generative design, and introductory AI/ML programming in Python. Whether you are a seasoned engineer or a motivated fresher, this is a unique opportunity to merge mechanical expertise with emerging digital tools and shape the next generation of engineers. You will receive structured training and mentorship to thrive in this role. Deliver interactive training sessions on: - 3D printing technologies and additive manufacturing workflows - CAD modeling: sketching, solid modeling, and STL generation - Slicing tools and part printing processes - Topology optimization and generative design techniques - Basics of Industrial IoT (IIoT), including sensors and actuators - Fundamentals of Artificial Intelligence in manufacturing - Simple Python tasks like reading data files, basic visualizations, regression/classification Evaluate learner performance, conduct assessments, and provide actionable feedback. Collaborate with content and academic teams to enhance delivery quality. Required Qualifications: - Bachelor's degree in Mechanical Engineering, Mechatronics, or a related field - Working knowledge of CAD tools (e.g., Fusion 360, SolidWorks, or similar) - Familiarity with 3D printing workflows and STL formats - Basic understanding of any programming language (Python preferred) - Strong communication skills and ability to engage with learners Preferred Attributes: - Eagerness to learn and upskill through onboarding - Strong collaboration and communication abilities - Ability to simplify complex topics for diverse learners - Adaptable, self-motivated, and detail-oriented - Freshers with strong technical fundamentals are welcome to apply Why Join Us: - Get trained on cutting-edge tools and teaching methods - Work at the intersection of mechanical engineering and digital innovation - Inspire future engineers with real-world applications and emerging technologies - Grow in a supportive, learning-driven environment Job Type: Full-time Application Question(s): Current Salary Work Location: In person,

We are seeking a mechanical engineering professional with a solid technical background and a growth mindset to educate individuals on Industry 4.0 skills. These skills include 3D printing, CAD modeling, design optimization, generative design, and basic AI and ML programming in Python. This position offers a unique opportunity to merge mechanical expertise with emerging digital technologies and equip learners for the future of manufacturing. Whether you are a seasoned engineer or a recent graduate with a passion for design and digital manufacturing, we are committed to supporting your development through structured training and mentorship. If you have a passion for teaching, a curiosity to explore new technologies, and the ability to lead with clarity and creativity, we would be thrilled to have you join our team. The selected educator will be responsible for conducting assessments, grading students, and providing constructive feedback. Extensive training and onboarding will be provided post-selection, making enthusiasm for teaching and a willingness to learn essential qualities for the role. Key responsibilities include delivering interactive sessions on various topics such as 3D Printing technologies, CAD Modeling, Slicing tools, Generative Design techniques, Industrial IoT basics, Artificial Intelligence applications, and simple Python data tasks. Essential Qualifications: - A Bachelor's degree in Mechanical Engineering, Mechatronics, or a related field - Proficiency in CAD tools like Fusion360, SolidWorks, or similar software - Familiarity with 3D printing workflows and STL formats - Basic knowledge of any programming language - Strong communication skills and a desire to engage with learners Professional attributes we value: - Quick learner who is open to upskilling through our onboarding program - Team player who collaborates effectively with content and academic teams - Effective communicator capable of simplifying complex ideas - Self-driven and adaptable individual able to handle diverse learner profiles - Detail-oriented with a focus on assessing and scoring learners impartially If you meet the above qualifications and are excited about this opportunity, please send your resumes to herur.prakash@gmail.com.,

This role involves the development and application of engineering practice and knowledge in the following technologies: Design of mechanical systems, devices, equipment and machines; installing and maintaining mechanically functioning equipment; simulating a wide range of interactions and evaluate performance in real world scenarios; and develop prototype for manufacturability, testing and validation. Job Description - Grade Specific Focus on Mechanical Physical Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers. Skills (competencies) Active Listening Adaptability Analytical Thinking CAD & Digital Twin Design: Generative Design & Additive Manufacturing Collaboration Material Science and Recycling Process Material Science: Metals, Composite, Surface and Nanomaterials Problem Solving Product Digital Design: AutoCAD Product Digital Design: Autodesk Fusion 360 Product Digital Design: CATIA V5 Project Management Project Planning Projects & QCT Management, Supplier Management Rapid Dynamics: Crash and Vulnerability Risk Management Scope Management Specification and Requirements Management Stakeholder Management Static Stress Analysis Static Stress: Physics & Simulation Science Strategic Thinking Sustainability-Electrification Sustainability-Green Hydrogen.

Role - AI/ ML Engineer Location - Gurugram We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelors or Master’s degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.