32 Cnns Jobs - Page 2

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

Job Description: Computer Vision modeler who will develop real time computer vision models like Python Pytorch tensorflow CV ML model development Object recognition Detection NVIDIA technologies MLOps Key Responsibilities: Should have the hands on experience to train computer vision and deep learning models to solve computer vision use cases Should be able to create and optimize algorithms for image and video analysis for tasks such as object detection image recognition segmentation and video analytics Should have expertise on different object tracking algorithms and track multi objects in multi cameras Should be able to articulate camera calibration and region of interest extraction Should have experience working on a large scale implementation with 100 stream in real time Fine tune deep learning models like CNNs vision transformers using frameworks such as Tensorflow PyTorch onnx etc Should have used NVIDIA frameworks preferably like NGC models TAO toolkit metropolis Deep stream triton server and triton server to create inferencing pipeline and its deployment Should have knowledge of optimizing inferencing pipelines to work on edge Should be able to perform necessary pre and post processing to optimize the computer vision models and evaluate it Should have experience working on action recognition with temporal analysis Should have knowledge on pruning the model for deploying on edge ARM devices Collaborate with Business and IT teams Preferred Skills: Technology->Artificial Intelligence->Computer Vision,Technology->Machine Learning->Python

Skills Required Deep Learning Expertise: Strong understanding of deep learning concepts, including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), transfer learning, etc. Proficiency in Machine Learning Frameworks: Hands-on experience with popular frameworks such as TensorFlow, Keras, PyTorch, or MXNet. Mathematics for Machine Learning: Solid knowledge of mathematical foundations, including linear algebra, probability, statistics, and optimization algorithms related to deep learning. Experience in Model Building: Ability to build, train, and optimize deep learning models for different use cases like image classification, NLP, speech recognition, etc. Content Development Skills: Experience in creating comprehensive learning materials, including video lectures, assignments, quizzes, and projects for students. Programming Proficiency: Strong knowledge of Python and libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Cloud and Deployment: Familiarity with deploying deep learning models on cloud platforms like AWS, GCP, or Azure. Hands-on Projects: Experience in creating hands-on projects to help students apply learned concepts practically. Pedagogy & Curriculum Development: Ability to structure and organize technical content clearly and logically to suit a range of learning levels. Communication Skills: Excellent written and verbal communication skills to explain complex technical concepts simply and effectively. Collaboration Skills: Ability to work with instructors, instructional designers, and subject matter experts to create engaging and accurate content. Prior experience in content development is preferred. Responsibilities Assist the Technical Content Developer (TCD) in creating high-quality technical content across various formats such as text, video scripts, presentations, and interactive materials. Support the TCD in researching and gathering resources to ensure the accuracy and relevance of the content. Collaborate with Subject Matter Experts (SMEs) and other team members to refine and polish content for final delivery. Contribute to developing curriculum outlines, roadmaps, and learning objectives under the guidance of the TCD. Ensure content is optimized for different learning formats, adapting materials as required. Participate in regular content reviews and provide suggestions for improvements or updates based on learner feedback. Stay updated on industry trends and assist in incorporating emerging technologies and techniques into the content. Manage smaller content projects independently while maintaining alignment with the overall curriculum goals. Job Overview Location : NxtWave Office Spaces in Hyderabad Job Type : Full-Time Working days : 5

Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years of CPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

We are seeking a skilled AI/ML Engineer to develop and integrate advanced deep learning solutions into our medical imaging platform. You will work on high-impact use cases such as analyzing MRI scans to assist in Alzheimer's prediction and diagnosis, ensuring your models meet clinical accuracy and performance standards. Key Responsibilities: Develop and fine-tune deep learning models (CNNs, ANNs, Transformers) for medical image classification, segmentation, and anomaly detection. Handle medical imaging data formats (e.g., DICOM, NIfTI) for preprocessing and feature extraction. Integrate trained AI models into existing medical imaging platforms using industry-standard deployment pipelines. Collaborate with radiologists, data scientists, and software engineers to validate model performance and usability. Implement model monitoring and update strategies post-deployment to ensure reliability and compliance. Document methodologies, model architecture decisions, and deployment workflows. Required Skills & Qualifications: 4+ years of experience in AI/ML , with at least 2 years focused on medical or biomedical image processing . Strong hands-on experience with deep learning frameworks : TensorFlow , PyTorch , Keras . Proficient in Python , with good working knowledge of SQL for data management. Experience working with medical imaging libraries and toolkits such as MONAI , OpenCV , SimpleITK , and scikit-image . Familiarity with cloud-based AI deployment tools and services on AWS , GCP , or Azure . Solid understanding of image annotation , model evaluation metrics (e.g., Dice coefficient, ROC-AUC) , and regulatory implications in healthcare AI. Preferred Skills (Nice to Have): Experience with federated learning, explainable AI (XAI), or multimodal learning in healthcare. Exposure to containerization (Docker) and MLOps practices for scalable AI deployments. Familiarity with PACS systems , FHIR , or integration with HL7 standards . Knowledge of FDA/CE regulatory requirements for AI in medical devices.

We are seeking a skilled AI/ML Engineer to develop and integrate advanced deep learning solutions into our medical imaging platform. You will work on high-impact use cases such as analyzing MRI scans to assist in Alzheimer's prediction and diagnosis, ensuring your models meet clinical accuracy and performance standards. Key Responsibilities: Develop and fine-tune deep learning models (CNNs, ANNs, Transformers) for medical image classification, segmentation, and anomaly detection. Handle medical imaging data formats (e.g., DICOM, NIfTI) for preprocessing and feature extraction. Integrate trained AI models into existing medical imaging platforms using industry-standard deployment pipelines. Collaborate with radiologists, data scientists, and software engineers to validate model performance and usability. Implement model monitoring and update strategies post-deployment to ensure reliability and compliance. Document methodologies, model architecture decisions, and deployment workflows. Required Skills & Qualifications: 4+ years of experience in AI/ML , with at least 2 years focused on medical or biomedical image processing . Strong hands-on experience with deep learning frameworks : TensorFlow , PyTorch , Keras . Proficient in Python , with good working knowledge of SQL for data management. Experience working with medical imaging libraries and toolkits such as MONAI , OpenCV , SimpleITK , and scikit-image . Familiarity with cloud-based AI deployment tools and services on AWS , GCP , or Azure . Solid understanding of image annotation , model evaluation metrics (e.g., Dice coefficient, ROC-AUC) , and regulatory implications in healthcare AI. Preferred Skills (Nice to Have): Experience with federated learning, explainable AI (XAI), or multimodal learning in healthcare. Exposure to containerization (Docker) and MLOps practices for scalable AI deployments. Familiarity with PACS systems , FHIR , or integration with HL7 standards . Knowledge of FDA/CE regulatory requirements for AI in medical devices.

AI/ML Engineer for Medical Image processing Job description We are looking for an AI/ML Engineer to join our team and help integrate AI-driven image analysis into an existing medical imaging platform. This role involves developing or integrating AI models to analyze medical images (e.g., MRI brain scans for Alzheimers prediction). Key Responsibilities: Develop and optimize deep learning models (CNNs, Transfer Learning, TensorFlow, PyTorch) for medical image analysis. Work with medical imaging datasets (DICOM, NIfTI, etc.) to extract meaningful insights. Integrate AI models into the imaging platform and ensure seamless deployment. Required Skills: Strong expertise in Deep Learning (CNN, ANN, Transformers, TensorFlow, PyTorch, Keras). Experience with image processing libraries (OpenCV, MONAI, scikit-image). Proficiency in Python, SQL, and cloud-based AI deployment (AWS/GCP/Azure). Experience: 4 years in AI/ML with a focus on image analysis Industry: Healthcare AI / Medical Imaging If you are passionate about AI for medical imaging and want to work on cutting-edge healthcare AI solutions, wed love to hear from you! Apply now or DM me for more details! Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote