IT Talent Acquisition Specialist
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Recruit IT infrastructure professionals for Artemys, a digital transformation company. Lead sourcing and hiring while contributing to employer branding initiatives.
खोलें
Marvik एक प्रौद्योगिकी परामर्श कंपनी है, जो उद्यम संगठनों के लिए कृत्रिम बुद्धिमत्ता को उत्पादन प्रणालियों में बदलने पर केंद्रित है। इसकी टीम AI रणनीति, अवसरों की पहचान, डेटा इंजीनियरिंग, मॉडल विकास, जनरेटिव AI, LLM, AI एजेंट, कंप्यूटर विज़न, पूर्वानुमानात्मक विश्लेषण, रोबोटिक्स और ऑटोमेशन के क्षेत्रों में काम करती है। Marvik वरिष्ठ AI विशेषज्ञता और आंशिक नेतृत्व सेवाएँ भी उपलब्ध कराती है, जिससे संगठन रिटेल, ई-कॉमर्स, लॉजिस्टिक्स, फिनटेक, विनिर्माण, स्वास्थ्य सेवा, ऊर्जा और सरकारी क्षेत्रों के लिए विस्तार योग्य समाधान विकसित कर सकें।
Machine Learning and Robotics Engineer, Simulation
Build and validate simulated machine learning and robotics systems for physical-world applications at Marvik. Work across robotics, perception, synthetic data, and model development from experimentation through production.
विवरण
- Develop and assess machine learning and robotics solutions from initial experiments through production integration
- Create and operate simulation environments for algorithm testing, synthetic data generation, and system evaluation
- Build data pipelines covering collection, processing, model training, and evaluation
- Connect models with sensors, software platforms, and hardware as project needs require
- Plan experiments that measure performance, identify failure modes, and evaluate simulation-to-real-world transfer
- Partner with engineers, researchers, and clients to turn project requirements into practical implementations
- Produce maintainable code and reusable tools while strengthening engineering practices across projects
आवश्यकताएँ
- Professional experience in machine learning engineering, robotics, or a closely related discipline
- Practical experience with a simulation platform such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, Gazebo, PyBullet, or an equivalent tool
- Strong Python skills combined with sound software engineering practices
- Experience developing and evaluating machine learning models or robotics algorithms, including validation methods and performance metrics
- Working knowledge of sensor modeling, coordinate transformations, kinematics, dynamics, or physics-based simulation
- Comfortable using Linux and Git within collaborative development processes
- Able to handle open-ended challenges, explain trade-offs, and own implementation and validation work
- Additional experience in computer vision, 3D perception, or multimodal learning is advantageous
- Additional experience with synthetic data generation, domain randomization, or sim-to-real evaluation is advantageous
- Additional experience with reinforcement learning, imitation learning, motion planning, or control is advantageous
- Additional experience with ROS or ROS 2 and physical sensor or robot integration is advantageous
- Additional experience deploying systems to edge devices such as NVIDIA Jetson is advantageous
- Additional experience with C++, GPU optimization, Docker, or cloud infrastructure is advantageous
- Additional experience converting prototypes into dependable production systems is advantageous
लाभ
- No explicit benefits, perks, or additional compensation details are provided
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