3 Genetic Algorithms Jobs

Opportunity to work with a leading Manufacturing Organization Great working culture Job Description Develop and implement AI/ML models for generative automotive design: Leverage Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, and other generative AI techniques to create novel and innovative vehicle design concepts (exterior, interior, components) based on diverse inputs (text prompts, sketches, performance parameters). Pioneer Sketch-to-3D Model & Surface-to-3D Conversion: Research, develop, and deploy AI models that can accurately transform 2D sketches, images, and conceptual surfaces into high-fidelity 3D automotive models, streamlining the early design phase. Advance AI-driven Content Generation for Design: Explore and implement AI models for generating design-related content, including visual assets, material renderings, and virtual environment elements, from textual descriptions or design constraints. Integrate AI with CAD/CAE Workflows: Work closely with design and engineering teams to seamlessly integrate AI-generated outputs and insights into existing CAD (e.g., CATIA, SolidWorks) and CAE (e.g., ANSYS, Abaqus) software environments. Optimize Design through AI-driven Simulation: Apply AI/ML for multi-objective design optimization, including aerodynamic performance, structural integrity (FEA), lightweighting, thermal management, and NVH characteristics, using techniques like Bayesian Optimization and Genetic Algorithms. Automate Feature Engineering and Data Curation: Develop robust data pipelines and feature engineering strategies for large, complex automotive design datasets (3D geometries, material properties, performance data, simulation results). Research & Innovation: Stay abreast of the latest advancements in AI, machine learning, computer vision, and computational design, continuously evaluating and recommending new technologies and methodologies. Collaboration: Work cross-functionally with industrial designers, aerodynamicists, structural engineers, materials scientists, and software developers to translate design visions into tangible, AI-powered solutions. Model Deployment & Monitoring: Contribute to the deployment of AI models into production environments and establish monitoring systems for performance, quality, and continuous improvement The Successful Applicant AI/ML Expertise (5+ years professional experience): ? Strong theoretical and practical knowledge of Deep Learning architectures (CNNs, RNNs, Transformers). ? Proven experience with Generative AI models (GANs, VAEs, Diffusion Models) and their application in creative or design contexts. ? Proficiency in Computer Vision techniques, including object detection, segmentation, and 3D reconstruction. ? Experience with optimization algorithms (e.g., Genetic Algorithms, Bayesian Optimization). ? Solid understanding of MLOps principles for model development, deployment, and lifecycle management. . Programming Proficiency: ? Expert-level proficiency in Python, including deep learning frameworks (TensorFlow, PyTorch) and data science libraries (NumPy, Pandas, scikit-learn). ? Familiarity with C++ is a plus. . Automotive Design & Engineering Domain Knowledge: ? Fundamental understanding of automotive design principles, aesthetics, ergonomics, and styling. ? Familiarity with CAD software (e.g., CATIA, SolidWorks, Autodesk Fusion 360) and CAE simulation concepts (CFD, FEA). ? Basic understanding of automotive manufacturing processes and material properties. . Problem-Solving & Creativity: Exceptional analytical and problem-solving skills with a demonstrated ability to tackle complex, ambiguous design challenges using AI. . Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences, including non-technical design and engineering teams. . Collaboration: Proven ability to work effectively in a collaborative, fast-paced, and interdisciplinary team environment. What's on Offer . Work with a world class team working on a very forward looking problem.

As a Senior Algorithm Software Engineer at Solera located in Bangalore, you will play a pivotal role in enhancing transportation routing and scheduling algorithms. You will be responsible for analyzing, designing, programming, and debugging algorithm improvements while ensuring optimal system performance. Your expertise in object-oriented design, coding, and unit testing will be crucial in developing high-quality solutions. Additionally, you will collaborate with stakeholders to define system requirements and mentor junior developers to foster their growth. Your primary responsibilities will include designing and implementing complex algorithms, optimizing performance for real-world applications, and conducting algorithm tuning. You will write clean and well-documented code in languages such as C#, C++, Java, and .NET. Furthermore, you will be involved in logical data modeling, object-oriented design, and unit testing to ensure compliance with business requirements. In the realm of Machine Learning-Specific Engineering, you will build and optimize ML models, develop and test ML algorithms, preprocess large datasets, and troubleshoot model performance issues. You will also deploy ML models to production environments and enhance feature selection/extraction methods to improve accuracy and runtime. Your role will also involve working on advanced performance and tools, where you will design custom loss functions, utilize profiling tools to enhance computational efficiency, and leverage distributed computing frameworks for training ML models. Additionally, you will collaborate with data scientists and domain experts to align algorithms with project requirements and stay updated on advancements in ML frameworks and methodologies. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics, along with at least 6 years of relevant software development experience. Product-based company experience is mandatory. You should possess knowledge of common routing algorithms, logical thinking skills, excellent interpersonal and communication skills, and proficiency in C#/C++ development environments. Familiarity with Agile methodologies and industry-standard SDLC processes is essential. Join us at Solera, where you will have the opportunity to contribute to cutting-edge projects, mentor junior developers, and drive innovation in the field of transportation routing and scheduling algorithms.,

You should have 3-5 years of experience and be located in Jamshedpur, Kalinga Nagar, or Kolkata. Your responsibilities will include developing various optimization models using classical and evolutionary techniques, system simulation models, analyzing process and business data for optimization, maintaining computer programs, analyzing and improving manufacturing processes, developing customized optimization algorithms, and creating hybrid simulation and visualization models. You should have a B.Tech/BE or M.Tech/MS in Mechanical, Metallurgical, Electrical, Electronics, Computer Science, Instrumentation, Industrial Engineering, or Operations Research. Your experience should include optimization logic development, system simulation, programming, and process troubleshooting. Exposure to different optimization tools and mathematical models is preferred, as well as a basic understanding of statistics. Your technical competencies should include optimization, system simulation, programming, system engineering, flow design, logic building, scenario analysis, proficiency in RDBMS such as PostgresQL or MySQL, and programming languages like R, MATLAB, or Python. Your key performance indicators will involve identifying and solving business-wide problems using Big Data and Operations Research techniques, building, validating, testing, and deploying models and algorithms, defining hypotheses and executing necessary tests and experiments, developing creative algorithms using OR techniques, and effectively communicating analysis to team members and stakeholders.,