42 Lstms Jobs

As a Machine Intelligence Specialist at our client's organization in Bengaluru, your role involves designing and developing intelligent systems using advanced technologies like natural language processing (NLP), computer vision, and machine learning. You will lead initiatives in deep learning, model deployment, and system optimization to create high-impact products across various domains. If you are passionate about turning cutting-edge AI research into practical solutions, this opportunity is tailored for you. **Role Overview:** - **Design and Develop Intelligent Systems:** Create robust machine learning models for tasks in NLP and computer vision. - **Deep Learning Engineering:** Build and...

Role Overview: You will be a Computer Vision Engineer at RNT Health Insights, playing a crucial role in developing and implementing spatiotemporal algorithms for real-time lesion detection during endoscopic procedures. Your work will involve collaborating with a diverse team to enhance spatial and temporal accuracy in lesion detection, designing preprocessing pipelines, optimizing models, and ensuring high-performance deployment in clinical settings. Key Responsibilities: - Research, develop, and implement spatiotemporal techniques combined with CNN and other spatial models for real-time lesion detection in endoscopic video streams. - Investigate and apply state-of-the-art techniques like LS...

Role Overview: As an AI & Deep Learning Scientist at Pixxel, you will be responsible for developing innovative machine learning and deep learning models to unlock the full potential of Pixxels hyperspectral data. You will work on impactful, data-driven projects aimed at solving complex challenges using state-of-the-art technology and methodologies. Key Responsibilities: - Design and implement advanced AI/ML models for classification, prediction, segmentation, and anomaly detection using Pixxels hyperspectral data and multimodal datasets. - Integrate diverse data sources, such as hyperspectral, radar, LiDAR, and ancillary datasets, to enhance feature extraction, accuracy, and scalability. - D...

Job Description: At NxtWave, as a TCD, you will be heading your technical pod and will be responsible for creating and refining industry-relevant content for students. This role involves developing engaging content and materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement. You'll collaborate with teams internally and SMEs externally to manage technical content tracks, analyse industry trends, and deliver high-quality outcomes that improve learners skills and employability. Skills Required Minimum 1-4 years of experience in content development. Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advan...

**Job Description:** As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge AI solutions using Machine Learning, Deep Learning, and Large Language Models (LLMs). You should have a strong foundation in applied ML/DL concepts and a willingness to stay updated with the latest advancements in the field. Your role will involve working with various programming languages, machine learning frameworks, and deep learning techniques to build AI systems that address complex challenges. **Key Responsibilities:** - Strong proficiency in Python, data structures, and algorithms. - Hands-on experience with NumPy, Pandas, and Scikit-learn for ML prototyping. - Und...

Skills: Python and Gen AI Experience: 3-10 yrs Location: Greater Noida Notice Period: Immediate Job Description: Total Experience - 3+ years with hands on experience with building language models, machine learning and AI models leveraging industry tools, products, and Azure cognitive services. Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data. Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps e.g. Experience of building / customizing a...

About NxtWave NxtWave was founded by Rahul Attuluri (ex-Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay), and Anupam Pedarla (IIT Kharagpur). In February 2023, NxtWave raised ?275 crore, led by Greater Pacific Capital, a leading international private equity firm . The startup is also backed by Orios Ventures, Better Capital, and marquee angels, including the founders of some of India's unicorns. NxtWave is one of India's fastest-growing Ed-Tech startups , revolutionising the 21st-century job market by transforming youth into highly skilled tech professionals irrespective of their educational background with its CCBP 4.0 programs. As an official partner for NSDC under the Ministry of Skill...

JOB DESCRIPTION/PREFERRED QUALIFICATIONS: REQUIRED SKILLS/COMPETENCIES: Programming Languages: Strong in Python, data structures, and algorithms. Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping. Machine Learning Frameworks: Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM). Deep Learning Techniques: Proficiency with PyTorch or TensorFlow/Keras Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms. Familiarity with optimization (Adam, SGD), dropout, batch norm. LLMs & RAG: Hugging Face Transformers (tokenizers, embeddings, model fine-tuning). Vector databases...

As a Deep Learning Engineer, your role will involve developing, training, and deploying computer vision models to solve complex visual problems. You will work on cutting-edge technology in image processing, object detection, and video analysis, collaborating with cross-functional teams to create impactful real-world applications. - Develop and optimize computer vision models for object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). - Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. - Utilize PyTorch, TensorFlow, and OpenCV for deep learning and image processing tasks. - Implement sequence-base...

Who You'll Work With You'll be joining a dynamic, fast-paced Global FPE (Foundational Platforms Engineering) team within Nike. Our mission is to build and scale world-class cloud-native platforms, enabling Nike's data-driven decision-making and intelligent automation capabilities. This role sits right into AI-driven innovation helping to drive cutting-edge advancements in both analytics and intelligent automation. Collaboration and creativity are at our core, and we are passionate about leveraging cloud-scale data platforms and AI-powered automation to transform business operations. Who We Are Looking For We are seeking a Software Engineer who brings deep expertise in Databricks, AWS Service...

Role Overview: As an experienced machine learning professional with expertise in deep learning and statistical modeling for earth observation data applications, your role at SatSure will involve various responsibilities. These include: Key Responsibilities: - Implementing deep-learning models and/or frameworks for scene/semantic/panoptic segmentation, object classification, and synthetic data generation using earth observation data in agriculture and infrastructure domains. - Designing and implementing performance evaluation frameworks to drive incremental and step function improvements. - Exploring and developing new methods to enhance detection and classification performance. - Building mo...

As a Deep Learning Engineer at Pivotchain Solutions, your role will involve developing, training, and deploying cutting-edge computer vision models to solve complex visual problems. You will work on image processing, object detection, and video analysis, collaborating with cross-functional teams to create impactful real-world applications. Key Responsibilities: - Develop and optimize computer vision models for object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). - Utilize OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. - Work with PyTorch, TensorFlow, and OpenCV for deep learning and image processing....

As a Senior Machine Learning Engineer at our company, you will be an integral part of the AI team, leveraging your 4+ years of experience in building and deploying production-grade ML models. Your role involves designing, developing, and deploying machine learning and deep learning models, conducting advanced data preprocessing, and implementing optimization techniques for algorithm performance and scalability. You will work with Python frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras, and build interactive dashboards using Streamlit, Plotly, and other visualization tools. Collaboration with cross-functional teams, research, and implementation of state-of-the-art ML/AI algorit...

Role Overview: As an AI Enabled Automation Developer Senior at EY, you will have the opportunity to build a unique career tailored to your skills and interests. You will be part of a global team that provides support, fosters an inclusive culture, and leverages cutting-edge technology to help you reach your full potential. Your individual voice and perspective are valued contributions that will help EY enhance its services and make a positive impact on the working world. Key Responsibilities: - Develop and implement AI-enabled automation solutions that align with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) in various industry verticals to showc...

About The Role We are seeking highly experienced Senior Machine Learning Engineers to join our AI team. Candidates should have 4+ years of experience building and deploying production-grade ML models. You will be responsible for end-to-end ML solutions, data-driven projects, and creating scalable, high-performance AI systems. Key Responsibilities Design, develop, and deploy machine learning and deep learning models. Conduct advanced data preprocessing, feature engineering, and model evaluation. Implement optimization techniques for algorithm performance and scalability. Work with Python frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras for model development. Build interactive d...

As a Deep Learning Engineer, your role involves building deep learning models using TensorFlow/PyTorch. You will collaborate with the team to ensure proper testing and deployment of these models. Your responsibilities include having a good understanding of Deep Learning Algorithms in NLP and Computer Vision domains, such as LSTMs, RNNs, CNNs, etc., and using TensorFlow and frameworks like Keras, PyTorch to solve real-life problems. Additionally, you will be creating and updating documentation for the work done and implementing deep learning algorithms from scratch, including LSTM, RNNS, DNNS, BI-LSTMS. You will also work on Computer Vision, Image processing, and TRANSFER LEARNING - GANs. Key...

As a Data Science Engineer at V-Patrol AI, a fast-paced cybersecurity company, you will play a crucial role in designing, developing, and deploying advanced machine learning and deep learning models. Your responsibilities will include building scalable data pipelines, integrating APIs for model deployment, and collaborating with cross-functional teams to drive data-driven decisions. Additionally, you will monitor model performance and communicate findings effectively through various mediums such as dashboards, reports, and visualizations. Key Responsibilities: - Design and develop machine learning and deep learning models for cybersecurity applications. - Build and manage data pipelines for ...

Role Overview: You will be responsible for building deep learning models using TensorFlow/PyTorch and collaborating with the team to ensure proper testing and deployment. Your role will involve applying deep learning algorithms in NLP and Computer Vision domains to solve real-life problems. Additionally, you will create and update documentation for the work done and implement deep learning algorithms from scratch. Key Responsibilities: - Research various machine learning/data science topics for writing articles for the company websites - Assist with hands-on coding on Jupyter Notebook to provide code snippets in articles - Work on short projects, assignments, and deployment techniques - Desi...

Role & responsibilities Impact Based Forecasting Collaborate with other members of the IT team, meteorologists, hydrologists, GIS specialists, and disaster risk management experts within RIMES to ensure the development of IBF DSS. Develop AI models (e.g., NLP, computer vision, reinforcement learning) Integrate models into applications and dashboards. Ensure model explainability and ethical compliance. Assist the RIMES Team in applying AI/ML models to forecast hazards and project likely impacts based on exposure and vulnerability indices. Work with forecasters and domain experts to automate the generation of impact-based products. Ensure data security, backup, and compliance with data governa...

We have a job opening for GenAI Team Lead at PibyThree Consulting Services Pvt Ltd in Mumbai. The company is a Global Cloud Consulting & Services provider specializing in Cloud Transformation, Cloud FinOps, IT Automation, Application Modernization, and Data & Analytics. PibyThree aims to make businesses successful by leveraging technology for automation and enhanced productivity. As a Gen AI lead at PibyThree, you will be responsible for building both Traditional AI/ML systems and Generative AI-based systems. The ideal candidate should have a total experience of 5 to 7 years with hands-on experience in building language models, machine learning, and AI models using industry tools, products, ...

As the AI Model Development & Deployment Lead, your primary responsibility will be to design and implement cutting-edge computer vision models for various tasks such as object detection, tracking, segmentation, and action recognition. You should have expertise in architectures like YOLO (v4, v5, v8), Vision Transformers, Mask R-CNN, Faster R-CNN, LSTMs, and Spatio-Temporal Models for in-depth image and video analysis. It will be crucial to contextualize the models for challenging scenarios like poor detection due to occlusion or small, fast-moving objects by training them on diverse situations. Your role will involve identifying reasons for suboptimal model performance and developing a scala...

As a Senior Data Scientist at Sapper.ai, you will play a pivotal role in driving data-driven solutions within our Application Team. Leveraging your expertise in AI and ML, you will work on developing and implementing advanced models and algorithms to extract valuable insights from data, enhance OCR capabilities, and revolutionize processes in the Insurance and Accounts Receivable sectors. You'll be working on AI platforms, which are a set of products responsible for building, training, and deploying ML models for extraction and interpretation of semi and unstructured documents using NLP and Computer vision. Additionally, you'll be involved in ML model development and building automated train...

As an AI & Deep Learning Scientist at Pixxel, you will play a crucial role in developing innovative machine learning and deep learning models to harness the full potential of hyperspectral data. Your focus will be on driving impactful, data-driven projects that aim to solve complex challenges using cutting-edge technology and methodologies. Working as part of the analytics team, you will have the opportunity to: - Utilize state-of-the-art AI techniques to tackle intricate problems in imaging analytics, data fusion, and large-scale data processing. - Create multimodal AI models that combine hyperspectral data with other sensor modalities like radar, LiDAR, and weather datasets, providing valu...

We are searching for a dedicated and proficient Robotics AI/ML Engineer to become a part of our team and contribute to the advancement of intelligent and autonomous drone systems. Your primary role will involve spearheading the development of drone software stacks, merging onboard intelligence (AI/ML) with robotic middleware (ROS/ROS2) and backend systems. The ideal candidate should possess a minimum of 1 year of practical experience in constructing real-world robotics or drone software, showcasing a strong command over ROS/ROS2, computer vision, and machine learning applied to autonomous navigation, perception, or decision-making. Your responsibilities will include: - Drone Software Develop...

You will be part of a cutting-edge crypto hedge fund that specializes in high-frequency and machine-assisted trading strategies. We are looking for an exceptional PhD-level mathematical talent to lead our quantitative research and development efforts. As a PhD Physics or Mathematics candidate with advanced mathematical expertise, you will be responsible for developing sophisticated trading algorithms and innovative financial models in the dynamic cryptocurrency markets. You should have an advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Your key responsibilities will include designing and implementing advanced mach...