At Samsung Electro-Mechanics, a global leader in digital problem production, the function of a Deep Learning Engineer focuses on growing superior AI answers, mainly inside the location of computer vision. As a key participant in the agency’s AI initiatives, you’ll contribute to improving the organization’s abilities in photo processing and facts-pushed answers across a couple of industries, which incorporates augmented truth, healthcare, and self-enough structures. You will now not only boom and install modern-day models but also make sure their inexperienced integration into actual-time programs.
- Role: Deep Learning Engineer
- Experience: 2 – 5 Years
- Salary: ₹ 5-15 Lacs P.A
- Employment type: full time
- Location: Bengaluru
- Qualification: Any Graduate
Samsung Electro-Mechanics Hiring Deep Learning Engineer
We are searching for an especially professional Deep Learning Engineer with a sturdy recognition of Computer Vision to join the AI institution at Samsung Electro-Mechanics. Deep Learning Engineer Samsung Electro-Mechanics In this function, you may make bigger, optimize, and install deep analyzing fashions that clear up complicated troubles in regions like picture class, object detection, and video analysis. You will paint with huge datasets, and current-day neural networks, and collaborate with multidisciplinary companies to supply revolutionary answers. Responsibilities embody model education, real-time normal general overall performance optimization, and deploying fashions in the course of numerous systems, at the side of cell and element computing environments.
About Company:
Samsung Electro-Mechanics is an international leader in the development and production of advanced virtual and mechanical components. Deep Learning Engineer Samsung Electro-Mechanics The commercial enterprise organization focuses on key regions collectively with excessive-frequency wi-fi substances and precision mechanics, which stress its commercial enterprise agency in virtual digital modules, chip elements, and communique modules. By leveraging technological excellence, Samsung Electro-Mechanics aims to grow to be the world leader in one field, continuously advancing its product portfolio through innovation and tremendous improvement. The corporation’s commitment to the subsequent generation era guarantees its manipulation in the global digital elements industry.
Key Responsibilities
1. Model Development: You may be chargeable for designing, developing, and optimizing deep reading fashions to carry out an entire lot of pc vision obligations. Deep Learning Engineer Samsung Electro-Mechanics These responsibilities will embody object detection, picture elegance, segmentation, and image generation. You will use advanced architectures like CNN’s, GAN’s, and vision transformers to deal with the issues efficaciously.
2. Data Collection & Preprocessing: Collaborating with records businesses, you may play a critical feature in statistics acquisition techniques. This entails handling large-scale visible datasets together with snapshots and films, making use of preprocessing techniques like normalization, augmentation, and annotation to put together the records for version education.
3. Model Training & Evaluation: As a part of your characteristic, you will train and pleasant-tune deep learning fashions, including, RNNs, and Transformers, with the use of immoderate-overall performance GPUs. The intention may be to ensure excessive accuracy and real-time trendy overall performance through iterating over diverse models, optimizing hyperparasite RS, and conducting rigorous opinions in competition to benchmark datasets.
4. Optimization: You will put in force optimization strategies inclusive of version pruning, quantization, and compression. These strategies will assist decorate the overall performance of deep mastering fashions for deployment on cellular devices, embedded structures, and vicinity computing systems.
5. Deployment: A vital component of your artwork can be to put those pc vision models into manufacturing environments. You will make certain that those fashions are carried out reliably and efficiently in real-time applications by way of manner of addressing issues like latency, scalability, and hardware compatibility.
6. Research & Innovation: Staying up to date with the stylish research in deep learning and pc imaginative and prescient can be critical. You’ll be recommended to innovate and exercise new strategies to decorate the overall performance of present models, at the same time as moreover addressing particular demanding situations in imaginative and prescient-associated responsibilities.
7. Collaboration: You will work intently with skip-useful groups, at the facet of facts scientists, software program engineers, and product managers, to combine the fashions into broader programs collectively with augmented reality, self-maintaining systems, and healthcare diagnostics.
8. Documentation & Reporting: Finally, you could record the version architecture, schooling technique, and deployment pipelines, making sure that the technical crew is aligned and that the answers are scalable and maintainable.
Experience
- Education: Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, AI, or an associated place.
- Experience: Proven knowledge in growing and deploying deep reading models for pc vision duties and the use of frameworks that incorporate Tensor Flow, Pyrotechnics, and Keira. Experience with actual-time image processing and the use of libraries like Open CV is essential.
- Programming Skills: Proficiency in Python, with experience in C++ or Cuds for GPU-based complete development.
- Mathematics: A robust foundation in linear algebra, opportunity, and optimization, especially close to vision packages.
- Domain Expertise: Deep information of convolutional neural networks CNNss), Generative Adversarial Networks (GANs), and imaginative and prescient transformers.
Preferred Qualifications:
Cloud Experience: Familiarity with cloud structures which include AWS, GCP, and Azure.
Edge Deployment: Experience in optimizing models for deployment on mobile or embedded structures.
Advanced Techniques: Knowledge of advanced pc imaginative and prescient methods like 3-D imaginative and prescient, SLAM (Simultaneous Localization and Mapping), and intensity estimation.
Mops: Experience with Mops practices to streamline the development and deployment approach.
What are the core values of Samsung electro-mechanics?
- Deep Learning Frameworks: Proficiency in Tensor Flow, Pyrotechnics, or Keira’s to develop and optimize fashions.
- Computer Vision Expertise: Strong statistics of vision duties like photograph type, object detection, and segmentation, collectively with enjoy using libraries like Open CV.
- Programming: Mastery of Python for AI-related duties and familiarity with C++ or Cuds for GPU improvement.
- Mathematics & Optimization: A strong keep close of mathematical ideas like linear algebra and optimization techniques for version training and ordinary performance enhancement.
- Cloud & Edge Deployment: Experience in deploying fashions on cloud structures (AWS, GCP, Azure) or facet devices like cell phones and embedded systems.
Benefits at Samsung
- Cutting-Edge Technology: You will paint with contemporary deep studying models and contribute to the improvement of cutting-edge AI answers.
- Career Growth: As the selection for AI and deep studying expertise keeps developing, so do the opportunities for professional development in this excessive name for the field.
- Collaboration: You will collaborate with extraordinarily professional experts from diverse disciplines, improving your abilities and broadening your know-how base.
- Real-World Impact: Your paintings will right now affect industries like healthcare, self-sufficient structures, and augmented truth, fixing complex, real-global issues.
- Competitive Compensation: The deep knowledge of engineers is in an excessive name for, supplying awesome repayment and benefits programs.
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