3 Easyocr Jobs

As an experienced AI/ML professional, you will be responsible for building and deploying models for various computer vision (CV) tasks such as object detection, OCR, image classification, and face recognition. Your role will involve developing real-time CV pipelines using technologies like YOLOv5/v8, Faster R-CNN, and DeepSORT. You will also work on integrating Generative AI and Large Language Models (LLMs) into CV workflows and end-user applications. Optimizing models for edge devices such as Jetson Nano/Xavier, Coral, and OpenVINO will be a crucial part of your responsibilities. Additionally, you will work with annotated image/video datasets, applying augmentation and pre/post-processing techniques. You will also have the opportunity to lead cross-functional AI initiatives and provide guidance on team-level technical decisions. To excel in this role, you should possess at least 4 years of experience in AI/ML with practical deployments. Proficiency in Python, PyTorch/TensorFlow, and OpenCV is essential. Hands-on experience with OCR tools like Tesseract, PaddleOCR, and EasyOCR is a must. A solid understanding of image processing techniques such as contouring, segmentation, and thresholding is required. Experience in deploying models on edge devices like NVIDIA Jetson and TensorRT is highly beneficial. Exposure to LLMs and building end-to-end AI pipelines will also be advantageous. In addition to the must-have requirements, the following nice-to-have skills would further strengthen your candidacy: - Experience with AWS Textract, Azure OCR, or Google Vision API - Building tools for Named Entity Recognition (NER), invoice parsing, or document classification - Familiarity with DeepStream, Streamlit dashboards, and MLflow/ONNX - Academic research or published work in AI/CV fields - Knowledge of CUDA, sensors, and camera hardware integration By joining our team, you will have the opportunity to work on cutting-edge AI + CV projects that have a real-world impact. We value innovation, ownership, and experimentation, and you will be part of a collaborative environment where your contributions are highly appreciated. You will also have the chance to lead Generative AI initiatives across various domains. This is a full-time position with benefits including health insurance, paid sick time, paid time off, and Provident Fund. The work location is in person, providing you with a conducive environment to collaborate with the team effectively.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

Primary Responsibilities: Design and develop AI-driven web applications using Streamlit and LangChain. Implement multi-agent workflows with LangGraph. Integrate Claude 3 (via AWS Bedrock) into intelligent systems for document and image processing. Work with FAISS for vector search and similarity matching. Develop document integration solutions for PDF, DOCX, XLSX, PPTX, and image-based formats. Implement OCR and summarization features using EasyOCR, PyMuPDF, and AI models. Create features such as spell-check, chatbot accuracy tracking, and automatic re-training pipelines. Build secure apps with SSO authentication, transcript downloads, and reference link generation. Integrate external platforms like Confluence, SharePoint, ServiceNow, Veeva Vault, Outlook, G.Net/G.Share, and JIRA. Collaborate on architecture, performance optimization, and deployment. Required Skills: Strong expertise in Streamlit, LangChain, LangGraph, and Claude 3 (AWS Bedrock). Hands-on experience with boto3, FAISS, EasyOCR, and PyMuPDF. Advanced skills in document parsing and image/video-to-text summarization. Proficient in modular architecture design and real-time AI response systems. Experience in enterprise integration with tools like ServiceNow, Confluence, Outlook, and JIRA. Familiar with chatbot monitoring and retraining strategies. Secondary Skills: Working knowledge of PostgreSQL, JSON, and file I/O with Python libraries like os, io, time, datetime, and typing. Experience with dataclasses and numpy for efficient data handling and numerical process