10 Resnet Jobs

As an AI/ML Developer, you will be responsible for utilizing programming languages such as Python for AI/ML development. Your proficiency in libraries like NumPy, Pandas for data manipulation, Matplotlib, Seaborn, Plotly for data visualization, and Scikit-learn for classical ML algorithms will be crucial. Familiarity with R, Java, or C++ is a plus, especially for performance-critical applications. Your role will involve building models using Machine Learning & Deep Learning Frameworks such as TensorFlow and Keras for deep learning, PyTorch for research-grade and production-ready models, and XGBoost, LightGBM, or CatBoost for gradient boosting. Understanding model training, validation, hyperparameter tuning, and evaluation metrics like ROC-AUC, F1-score, precision/recall will be essential. In the field of Natural Language Processing (NLP), you will work with text preprocessing techniques like tokenization, stemming, lemmatization, vectorization techniques such as TF-IDF, Word2Vec, GloVe, and Transformer-based models like BERT, GPT, T5 using Hugging Face Transformers. Experience with text classification, named entity recognition (NER), question answering, or chatbot development will be required. For Computer Vision (CV), your experience with image classification, object detection, segmentation, and libraries like OpenCV, Pillow, and Albumentations will be utilized. Proficiency in pretrained models (e.g., ResNet, YOLO, EfficientNet) and transfer learning is expected. You will also handle Data Engineering & Pipelines by building and managing data ingestion and preprocessing pipelines using tools like Apache Airflow, Luigi, Pandas, Dask. Experience with structured (CSV, SQL) and unstructured (text, images, audio) data will be beneficial. Furthermore, your role will involve Model Deployment & MLOps where you will deploy models as REST APIs using Flask, FastAPI, or Django, batch jobs, or real-time inference services. Familiarity with Docker for containerization, Kubernetes for orchestration, and MLflow, Kubeflow, or SageMaker for model tracking and lifecycle management will be necessary. In addition, your hands-on experience with at least one cloud provider such as AWS (S3, EC2, SageMaker, Lambda), Google Cloud (Vertex AI, BigQuery, Cloud Functions), or Azure (Machine Learning Studio, Blob Storage) will be required. Understanding cloud storage, compute services, and cost optimization is essential. Your proficiency in SQL for querying relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and familiarity with big data tools like Apache Spark, Hadoop, or Databricks will be valuable. Experience with Git and platforms like GitHub, GitLab, or Bitbucket will be essential for Version Control & Collaboration. Familiarity with Agile/Scrum methodologies and tools like JIRA, Trello, or Asana will also be beneficial. Moreover, you will be responsible for writing unit tests and integration tests for ML code and using tools like pytest, unittest, and debuggers to ensure the quality of the code. This position is Full-time and Permanent with benefits including Provident Fund and Work from home option. The work location is in person.,

As an AI Engineer at Smartan FitTech, you will play a pivotal role in spearheading the design, development, and deployment of cutting-edge computer vision models aimed at enhancing human motion understanding and video analytics. You will be at the forefront of the AI development lifecycle, contributing to the implementation of features that power our innovative fitness intelligence systems. This role requires a strong engineering focus on real-world deployment, performance optimization, and scalability, rather than academic prototyping. Your responsibilities will include overseeing the complete lifecycle of computer vision models, from initial experimentation to deployment and ongoing monitoring. You will be tasked with constructing and refining deep learning models for various applications such as pose estimation, activity recognition, and posture correction. Leveraging techniques like transfer learning, fine-tuning, and knowledge distillation will be essential for achieving optimal performance and generalization. Additionally, you will be responsible for designing scalable data pipelines for video ingestion, annotation, preprocessing, and augmentation, as well as integrating AI modules into cloud-based environments using REST APIs or microservices. To excel in this role, you should possess a Bachelor's or Master's degree in computer science, AI, machine learning, or a related field, along with at least 2 years of experience deploying computer vision models in production environments. Proficiency in Python, particularly with PyTorch and/or TensorFlow, is crucial. Hands-on expertise with models like YOLOv5/YOLOv8, Vision Transformers, ResNet, and others, as well as experience with pose estimation frameworks and real-time motion tracking, will be highly beneficial. Familiarity with tools like OpenCV, MMAction2, DeepSort, and ONNX/TensorRT is also desired. In this role, you will have the opportunity to shape the future of intelligent fitness systems, with autonomy and ownership over the deployment of models that have a real-world impact. You will thrive in a fast-paced environment that offers exposure to the entire AI pipeline, from data processing to deployment, within a collaborative team culture that values engineering excellence and innovation.,

The ideal candidate for the AI/ML position in Bangalore should have a minimum of 6 to 12 years of experience and possess the following must-have skills: - A thorough understanding of AI/ML concepts, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI. - Prior experience in working with DL models, specifically in Computer Vision with frameworks like ResNet, YOLO v3, v4, v5, Efficient Det, etc. - Proficiency in developing Computer Vision applications using DL Frameworks such as TensorFlow, Caffe, Torch, and Toolkits like OpenVINO and TensorRT in both C++ and Python. - Conducting Functional, Performance Tests, and Accuracy Tests on DL Models. - Familiarity with Open Source libraries related to Computer Vision, DL Frameworks, and Toolkits including OpenVINO and TensorRT. - Strong programming skills in C++, with knowledge of the latest standards (C++17) and a background in Object-Oriented Programming. - Experience in performance optimization, developing mathematical routines/kernels with strict performance constraints. Additionally, the following skills are considered good to have: - Exposure to Version Control, Software integration, Continuous Integration, DevOps, Build Tools such as cmake, gcc toolchain, MSVC, etc. - Demonstrated ability to troubleshoot and debug problems in complex systems involving multiple proprietary and open-source components. - Experience in programming on Nvidia GPUs and a solid understanding of the usage of cuDNN and CUDA Libraries. If you possess the required expertise and are enthusiastic about working with cutting-edge technology, we encourage you to apply for this position or reach out to us for more information.,

Job Description About the Role In this crucial role, you will be responsible for ensuring the timely completion and coordination of all necessary activities to secure, maintain, and preserve REO properties acquired through reverse mortgage foreclosures. You will play a key part in our team by working closely with vendors and contractors to ensure properties are safe, secure, and ready for market. Responsibilities: Manage the REO property preservation process for reverse mortgages, following all company procedures and legal guidelines. Coordinate and oversee timely completion of property inspections to identify any safety hazards or maintenance needs. Secure vacant properties to prevent unauthorized access and vandalism. Oversee property clean-out and debris removal. Manage lawn maintenance, including grass cutting and landscaping, to maintain curb appeal and prevent code violations. Coordinate winterization services to protect vacant properties from weather damage during cold seasons. Ensure completion of other life safety and preservation measures as needed (e.g., board-up services, plumbing shut-off). Track and document all preservation activities for each property. Collaborate with asset managers other departments to ensure a smooth transition when properties are ready for listing and sale. Maintain accurate and complete records for all REO properties under your purview. Qualifications Qualifications: Minimum of 1-3 years of experience in property preservation, REO management, or a related field. Strong understanding of reverse mortgage foreclosure timelines and procedures. Excellent communication and coordination skills to work effectively with vendors, contractors, and internal departments. Proactive and detail-oriented with a focus on timely completion of tasks. Ability to prioritize and manage multiple tasks simultaneously in a fast-paced environment. Proficiency in PPW and Resnet applications. Additional Information WORKING AT ALTISOURCE ADVANTAGES Prosperity . Competitive salary based on your experience and skills Good Health . Comprehensive insurance plans - Medical insurance for employees and family, Personal Accident Benefit and Life Insurance for employees . Wellness Programs - Doctor support, Psychologist, Counselor, Onsite health checkup camps, etc. Happiness . 10 paid holidays, plus 26 paid days off per year . Lots of employee engagement activities OUR CORE VALUES For our employees, customers, and shareholders, we commit to . Act with Integrity - exhibit unwavering integrity, compliance, and ethical conduct at all times . Energize People - enable exceptional people to energize their teams and drive results . Empower Innovation - reward the relentless creation of innovative and compliant solutions to achieve our mission and generate value for our customers . Exceed Customer Expectations - execute world-class solutions to deliver value and delight our customers . Win as a Team - embrace the passion, energy, and power of our global teams to win as One-Altisource . Enrich Communities - create positive impacts for the communities where we live and serve

5+ Yrs exp in Computer Vision. Expertise in OpenCV, TensorFlow/PyTorch, Deep Learning. Experience in Design, building, and deploying computer vision models using YOLO, ResNet, CNN, RCNN, OpenCV. Custom model training. Immediate joiner only.

The Computer Vision Engineer position in Hyderabad requires someone with 3 to 5 years of experience in developing, implementing, and optimizing deep learning models. As a Deep Learning Engineer, you will be responsible for driving advanced AI solutions across various industries by leveraging your expertise in neural networks, data processing, and model deployment. Your main responsibilities will include owning the product development milestones, ensuring delivery to the architecture, and identifying challenges. You will drive innovation in the product, cater to successful initiatives, and establish engineering best practices for core product development teams within the company. In this role, you will be involved in developing, porting, and optimizing computer vision algorithms and data structures on proprietary cores. You will also engage in research and development efforts focused on advanced product-critical computer vision components, such as feature extraction, tracking objects, and sensor calibration. Solid programming skills in Python and C/C++, as well as experience with TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, and various neural networks, frameworks, and platforms are essential. Previous exposure to GPU computing, HPC, cloud services like AWS/Azure/Google, and NoSQL databases will be beneficial. You should have hands-on experience in deploying efficient Computer Vision products, implementing research papers, using dockerized containers with microservices, and optimizing models for TensorRT. Familiarity with NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier, Raspberry Pi, and edge devices is required. Understanding of computer vision concepts like photogrammetry, multi-view geometry, visual SLAM, detection and recognition, and 3D reconstruction is crucial. You will need to write maintainable, reusable code, leverage test-driven principles, and develop high-quality computer vision and machine learning modules. Experience with object detection, tracking, classification, recognition, scene understanding, and deep neural networks is important. Furthermore, knowledge of image classification, object detection, and semantic segmentation using deep learning algorithms is desirable. You should be able to evaluate and advise on new technologies, vendors, products, and competitors. Initiative, independence, teamwork, and hands-on technical expertise are key attributes for this role. If you are ready to contribute to cutting-edge AI solutions and drive innovation in computer vision, apply now and join our awesome squad.,

As an AI ML Engineer with 2 to 5+ years of experience, you will be responsible for understanding complex problem statements, handling and triaging data, and selecting/improving neural network models using deep learning frameworks to address business challenges. Your expertise in Python coding is mandatory, and proficiency in C/C++ or Java is an added advantage. You will leverage your experience to develop AI/ML/DL models through transfer learning or from scratch. A good understanding of leading deep learning frameworks such as TensorFlow, PyTorch, ONNX, and Keras is essential. Additionally, you will have working experience with computer vision models like Yolo, Mobilenet, and Resnet. Your role will also involve working with AI/ML/DL on Edge platforms like Nvidia Jetson family, Qualcomm, Intel, and Rpi. You should be well-versed in the complete DL/AI/ML lifecycle, from data collection to model building, experimental framework, and data analytics. Experience in developing and optimizing models in various computing domains such as Video, Statistics, and Audio is crucial. You should have a demonstrated track record of completing data science projects with minimal supervision and possess a conceptual understanding of different modeling techniques and their advantages and disadvantages. An added advantage would be a proven record of migrating AI/ML/DL models/algorithms to low-level platforms and familiarity with optimizing code for minimal CPU and memory usage. This is a full-time position located at IN-GJ-Ahmedabad, India-Ognaj (eInfochips) in the Engineering Services category.,

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

Visionify is dedicated to leveraging the potential of Computer Vision and AI for various real-world applications. We are currently seeking a highly skilled, motivated, and enthusiastic Senior Computer Vision Engineer to play a crucial role in implementing our strategic plans. As a Senior Computer Vision Engineer at Visionify, you will be tasked with tackling cutting-edge challenges in the realm of Computer Vision by devising innovative algorithms and optimizations. The majority of our projects revolve around practical applications of Computer Vision, necessitating a strong grasp of contemporary model types such as Classification, Object detection, Object Recognition, OCR, LayoutML, and GAN networks. Proficiency in Pytorch is essential for this role, as it serves as our primary programming language. Familiarity with Azure and Azure ML Studio would be advantageous. Candidates applying for this position should remain abreast of the latest advancements and actively contribute to enhancing the Pytorch project's performance and accuracy. Your expertise in PyTorch and its underlying mechanisms will be pivotal in resolving customer challenges and offering valuable insights into product improvements. Experience in optimizing and streamlining models for deployment on edge devices, as well as converting models to NVIDIA TensorRT, will be highly valued. A strong foundation in Python programming is indispensable, given its widespread use in our organization for developing training and inference pipelines. Effective communication and presentation skills are also crucial. The ideal candidate will exhibit a deep passion for artificial intelligence and a commitment to staying updated on industry trends. **Responsibilities:** - Understanding business objectives and devising Computer Vision solutions that align with these goals, including developing training and inference frameworks and leveraging various ML technologies. - Building and optimizing Pytorch models for different runtime environments, including NVIDIA Jetson TensorRT. - Guiding the development team, addressing their queries, and facilitating the timely completion of their tasks. - Creating ML/Computer Vision algorithms to address specific challenges. - Analyzing and visualizing data to identify potential performance-affecting disparities in data distribution, especially when deploying models in real-world scenarios. - Establishing processes for core team operations, such as data acquisition, model training, and prototype development. - Identifying and utilizing open-source datasets for prototype building. - Developing pipelines for data processing, augmentation, training, inference, and active retraining. - Training models, fine-tuning hyperparameters, and devising strategies to address model errors. - Deploying models for production use. **Requirements:** - Bachelor's or Master's degree in Computer Science, Computer Engineering, IT, or a related field. - Minimum of 5 years of relevant experience; candidates with exceptional skills but less experience are encouraged to apply. - Industry experience in Image & Video Processing, including familiarity with OpenCV, GStreamer, TensorFlow, PyTorch, TensorRT, and various model training/inference techniques. - Proficiency in deep learning classification models (e.g., ResNet, Inception, VGG) and object detection models (e.g., MobileNetSSD, Yolo, FastRCNN, MaskRCNN). - Strong command of Pytorch, Torchvision, and the ability to develop training routines and update models effectively. - Familiarity with Colab, Jupyter Notebook, CUDA/GPU, and CNN visualization techniques like CAM and GradCAM. - Expertise in Computer Vision and real-time video processing methods. - Proficient in Python programming and adept at writing reusable code. - Experience with OpenCV, Scikit packages, NVIDIA platform tools (e.g., Deepstream, TensorRT), Python web frameworks (e.g., Flask, Django, FastAPI), and ML platforms (e.g., PyTorch, TensorFlow). - Knowledge of AWS SageMaker, various databases (e.g., Elasticsearch, SQL, NoSQL, Hive), cloud environments (preferably AWS) for software development, GPU-based training infrastructures, Docker, and DevOps and MLOps best practices for ML systems. **Desired Traits:** - Collaborative mindset and ability to thrive in a team environment. - Adaptability to evolving requirements. - Proclivity for innovative problem-solving. - Strong focus on work quality and developing robust code.,

Experience: 10-15 years Location: Thane, Maharashtra (Work From Office), flexible timing Skills: Image Processing, Deep Learning, Computer Vision, Pytorch, Medical Imaging(best fit), Have experience in Object Detection, Segmentation, Classification etc Have experience in training models like Yolo, CNN, ResNet, DensNet, UNet, GAN etc