2 Faster Rcnn Jobs

As a Senior AI Engineer at Avathon, you will be part of a cutting-edge team revolutionizing industrial AI by developing groundbreaking solutions that shape the future. Your role will involve designing, training, and deploying computer vision models using frameworks like TensorFlow, PyTorch, or ONNX to harness the full potential of operational data. You will utilize your expertise in model optimization techniques such as quantization, pruning, distillation, and structured sparsity to enhance performance on edge devices and low-power hardware. Hands-on experience with state-of-the-art architectures like YOLO, Faster R-CNN, and Vision Transformers will be essential for optimizing models for deployment in industrial environments. Your strong understanding of image preprocessing, feature extraction, traditional computer vision techniques, and end-to-end model pipelines will enable you to create real-time virtual replicas of physical assets for predictive maintenance, performance simulation, and operational optimization. Proficiency in Python and C++ for developing AI solutions, along with experience in parallel processing and hardware-aware optimizations, will be key in driving AI-driven projects that have a meaningful impact across industries. Furthermore, your expertise in profiling and optimizing model inference speed, memory usage, and throughput for resource-constrained environments, as well as practical experience in deploying AI models on embedded systems and low-power hardware, will be crucial for anomaly detection, performance forecasting, and asset lifetime extension in industrial settings. Familiarity with MLOps practices, version control with Git, and collaborative workflows will ensure efficient management of AI workflows and seamless collaboration within cross-functional teams. Join Avathon in Bengaluru and thrive in a high-growth environment where agility, collaboration, and rapid professional growth are the norm. Make a difference by working on AI-driven projects that drive real change across industries and improve lives. If you are a forward-thinking AI Engineer with a passion for innovation and a drive to create scalable solutions in industrial AI, we invite you to be a part of our team and contribute to the revolutionizing of industrial AI.,

Ability to multitask and work on multiple engagements related to different domains Work in a highly collaborative and fast paced environment by interacting with the stakeholders and various IT teams within the company to facilitate the design and development of ML/AI solutions Responsible for the successful delivery of all allocated projects with respect to schedule, quality, and customer satisfaction Work with the pre-sales team on RFP, RFIs and help them solutioning for different AI/ML use cases Evaluate latest technologies, decide technical feasibility, and drive solution implementations Follow Agile standards and methodologies in all phases of the project and ensure excellence in delivery to customers Refine coding standards, software development guidelines, and best practices within the organization, and ensure adherence to those Mentor other associate architects, engineers and young talent within the organization, define and track their growth parameters. Must have skills: Strong interpersonal and written skills with clear and precise communication. Experience working in an Agile and competitive environment. Technical leadership experience handling large teams. Stakeholder interaction experience both within the organization and outside with clients. Strong analytical and quantitative skill set with proven experience solving business problems across domains. Very good with EDA, Hypothesis Testing, Feature Engineering. Hands-on with Python/R programming and ML/Viz. libraries/frameworks like Scikit-Learn, Pandas, Matplotlib, Seaborn, D3.js, Tensorflow, Pytorch, Keras. Experience with ML algorithms such as Regression and Classification (Decision-trees, Random Forests, SVM, ANNs), Clustering (k-means, DBSCAN), Dimension Reduction (PCA, SVD), Ensemble techniques (XGBoost, CatBoost, LightGBM). Basic image enhancement techniques such contrast enhancement, blurring, histogram equalization, etc using OpenCV. Experience with DL/CV techniques like CNNs, Faster RCNN, Mask RCNN, YOLO, SSD, Detectron2 for various use cases related to image such as Image Classification, Object Detection, Image Segmentation, etc. Traditional NLP - Bag of words, tf-idf, Stemming, Lemmatization, Tokenization, POS tagging, Coreference Resolution, Dependency and Constituency Parsing, Named Entity Recognition. NLP: NLU vs NLG, Vector Space modeling and text representation techniques in NLP, Knowledge/experience using RNNs, LSTMS, Sequence modeling and Attention mechanism, Transformers, BERT, GPT and their SOTA variants, Sequence modeling, Attention modeling, BERT, Transformers.Using the above-mentioned techniques for Text classification, Sentiment Analysis, Semantic similarity, Entity Extraction, Document summarization, NLI, Question-Answering, Machine Translation, etc. Forecasting modeling experience both on univariate and multivariate data using algorithms like Linear Regression, Neural Networks, Exponential Smoothing, Holt s Winters, ARIMA, SARIMA, LSTM. Identify appropriate objective functions, regularization techniques, performance metrics based on the use case and should be able to perform cross-validation, hyperparameter tuning, and error analysis. Experience/Knowledge working on Intelligent Document processing solutions using open-source technologies like OCR using Tesseract, text-block, ROI detection using OpenCV, etc. Experience/Knowledge working on solutions using Cloud based Document processing products like Google Document AI, Amazon Textract, Microsoft Azure Form Recognizer, etc. Proven experience building and deploying AI/ML solutions in production using open source or cloud tools such as MLflow, Kubeflow, TFX, Feature Store, etc. Hands-on AI/ML experience with any one cloud platform (GCP, Azure, AWS) either using the modeling options (Vertex AI, SageMaker, Azure ML) or leveraging the APIs (Textract,Vision, Text Extraction, Speech-to-text, Text-to-speech, Translation etc.). Nice to have skills: Any pre-sales experience Hands-on experience with any visualization tool like Tableau, Power BI, Looker Studio Build APIs using frameworks such as Flask, Django, FastAPI Distributed training for deep learning using frameworks like PyTorch, TensorFlow Advanced image processing using OpenCV, Feature Detection and Matching using SIRF/SURF/FAST/BRIEF Advanced recommender systems using model based techniques like KNN, Matrix Factorization, SVD, etc and and/or Deep Learning methods Docker containerization of microservices, deployment on cloud compute resources and orchestration using popular frameworks like Kubernetes Experience with either or all of Knowledge Graphs, Federated Learning, Deep Reinforcement Learning Cloud Certification - Machine Learning and/or Cloud Architect