61 Tesseract Jobs

We are seeking a highly skilled Scraping Expert to join our data team and drive automated extraction of tender information from various Indian portals, including the Government e-Marketplace (GeM). The ideal candidate will leverage advanced scraping techniques, Optical Character Recognition (OCR), and data validation methods to collect, process, and deliver high-quality tender datasets for our stakeholders. Key Responsibilities Develop and maintain robust web-scraping pipelines to extract tender information from GeM, state/central portals, and private aggregators. Integrate OCR tools to accurately extract text from scanned PDFs and tender-related images. Parse, normalize, and structure scraped tender data (e.g., tender ID, project title, department, dates, values). Monitor scraping jobs with automated alerts and update scripts for GeM UI changes. Collaborate with analysts and product teams to align data outputs with business requirements. Required Qualifications 3–5 years of hands-on experience building and deploying web-scraping solutions using Python frameworks (BeautifulSoup, Scrapy, Selenium). Proficiency with OCR libraries (Tesseract, OpenCV) and techniques for processing scanned documents. Prior experience working with or scraping data from the GeM portal or other Indian tender websites. Strong data cleaning, transformation, and storage skills using SQL/noSQL databases or data warehouses. Excellent problem-solving abilities to troubleshoot IP blocks, dynamic content, and anti-bot measures. Technical Skills Python BeautifulSoup Apache Airflow AWS (e.g., EC2, S3, Lambda) Job Type: Full-time Pay: ₹50,000.00 - ₹70,000.00 per month Schedule: Day shift Experience: Apache Airflow: 2 years (Required) Work Location: In person

Job Title: AI/ML Developer – Intelligent ERP Automation Location: Indore [Onsite] Experience: 2 – 5 Years Employment Type: Full-Time About the Role: We are looking for a talented and driven AI/ML Developer to join our team for an innovative ERP automation project. This role will focus on building intelligent features such as AI-powered OCR, smart prediction engines, and seamless integrations with cutting-edge AI frameworks. You will work closely with our engineering and product teams to develop scalable, intelligent systems that automate and optimize key ERP functionalities. Key Responsibilities: Design and implement AI/ML models for: OCR-based document processing Expense categorization Cash flow forecasting Integrate AI models with ERP workflows and APIs Work with modern AI frameworks like LangChain , LLaMA , and Hugging Face Develop and deploy APIs using FastAPI and Django Collaborate with front-end, DevOps, and product teams to ensure feature completeness and system stability Conduct model performance evaluation and continuous optimization Required Skills: Strong proficiency in Python Experience with Django and FastAPI frameworks Proven track record in building and deploying AI/ML models Hands-on experience with OCR technologies (e.g., Tesseract, Google Vision, or custom models) Familiarity with AI/ML frameworks like Hugging Face , LangChain , Transformers , etc. Understanding of NLP, document classification, and predictive analytics Experience in integrating AI solutions into real-world business applications Preferred Qualifications: Experience working with ERP systems or financial modules Familiarity with containerization (Docker) and cloud deployment (AWS/GCP) Understanding of LLMs and prompt engineering techniques Exposure to MLOps tools and pipelines Why Join Us? Work on a pioneering AI/ML-powered ERP automation platform Opportunity to work with modern AI tools and real business use cases Collaborative work culture with growth and learning opportunities Job Type: Full-time Pay: ₹19,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Position: AI/ML Lead (Associate Director Level) Experience: 11+ years Mode: Hybrid Salary: Upto 75 LPA We are looking for hiring a AI/ML Lead for one of our well established MNC Client Proficiency in understanding pulling structured and unstructured data from legacy systems to create a data architecture that can drive AI/ML efforts. Ability to engage actively with internal stakeholders, helping them understand the intricacies of AI/ML solutions and factors involved in successful execution. Ability to leverage latest AI offerings (ChatGPT, GPT 4, CoPilots, Tesseract OCR, OCR with CNN) from Microsoft, AWS, IBM and other providers to deliver solutions specific to the business interests Deep hands-on understanding of OCR and BI technologies Proven track record in thought leadership, particularly in IT modernization and innovation, to expedite immigration benefits and solve business problems. Solution Architect mindset, adept in planning data usage for delivering outcomes through multiple applications and continuously improving AI & ML models. Essential Qualifications: 11 years in IT with a focus on enterprise data architecture, ML, and BI 5+ years leading data teams around enterprise scale AI/ML or RPA efforts 3+ years hands-on experience leading teams on use of deep learning frameworks (e.g. Tensorflow or PyTorch) Experience with Prompt Engineering for conversational AI Proficiency in managing big data and distributed computing environments (e.g., Databricks, Spark, Dask). Proven experience in leveraging LLMs for analytics and decision making Highly proficient in AWS or Azure data processing (e.g., EC2, S3, Redshift). Hands-on leadership of Bachelor's degree in Data Science, Statistics, Computer Science, IT Management, Engineering, or similar. Bonus Qualifications: Expertise in Advanced AI Domains: Proficiency in areas such as Natural Language Processing (NLP), OCR with CNN, and AGI showcasing a broad and deep understanding of AI technologies. Client Engagement and Collaboration: Excellent skills in engaging with clients, coupled with a strong ability to collaborate on new ideas and concepts, indicating both interpersonal and creative capabilities. Innovation and Team Leadership: Experience in creating and implementing innovative roadmaps and aligning teams for efficient delivery, reflecting leadership and strategic planning abilities. Data Process Management: Demonstrated expertise in managing and moving data through various processes, ensuring accountability for outcomes, emphasizing operational and execution skills. Work Ethic and Team Spirit: An independent worker who embodies a strong work ethic and team spirit, ensuring a balance between autonomy and collaboration.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Welcome to Radin Health A premier Healthcare IT Software as a Service (SaaS) provider specializing in revolutionizing radiology workflow processes. Our cloud-based solutions encompass Radiology Information Systems (RIS), Picture Archiving and Communication Systems (PACS), Voice Dictation (Dictation AI) and Radiologist Workflow Management (RADIN Select), all powered by Artificial Intelligence. We are an innovative, forward-thinking Company with AI-Powered Solutions. Join Our Team! We Are Looking for Talent We are seeking a highly skilled AI Engineer with proven experience in healthcare document intelligence. You will lead the development and optimization of machine learning models for document classification and OCR-based data extraction , helping us extract structured data from prescriptions, insurance cards, consent forms, orders, and other medical records. You will be part of a fast-paced, cross-functional team working to integrate AI seamlessly into healthcare operations while maintaining the highest standards of accuracy, security, and compliance. Key Responsibilities Model Development: Design, train, and deploy ML/DL models for classifying healthcare documents and extracting structured data (e.g., patient info, insurance details, physician names, procedures). OCR Integration & Tuning: Work with OCR engines like Tesseract, AWS Textract, or Google Vision to extract text from scanned images and PDFs, enhancing accuracy via post-processing and pre-processing techniques. Document Classification: Build and refine document classification models using supervised learning and NLP techniques, with real-world noisy healthcare data. Data Labeling & Annotation: Create tools and workflows for large-scale labeling; collaborate with clinical experts and data annotators to improve model precision. Model Evaluation & Improvement: Measure model performance using precision, recall, F1 scores, and deploy improvements based on real-world production feedback. Pipeline Development: Build scalable ML pipelines for training, validation, inference, and monitoring using frameworks like PyTorch, TensorFlow, and MLFlow. Collaboration: Work closely with backend engineers, product managers, and QA teams to integrate models into healthcare products and workflows. Required Skills & Qualifications Bachelor's or Master’s in Computer Science, AI, Data Science, or related field. 7+ years experience in machine learning, with at least 3 years in healthcare AI applications. Strong experience with OCR technologies (Tesseract, AWS Textract, Azure Form Recognizer, Google Vision API). Proven track record in training and deploying classification models for healthcare documents. Experience with Python (NumPy, Pandas, Scikit-learn), deep learning frameworks (PyTorch, TensorFlow), and NLP libraries (spaCy, Hugging Face, etc.). Understanding of HIPAA-compliant data handling and healthcare terminology. Familiarity with real-world document types such as referrals, AOBs, insurance cards, and physician notes. Preferred Qualifications Experience working with noisy scanned documents and handwritten text. Exposure to EHR/EMR systems and HL7/FHIR integration. Knowledge of labeling tools like Label Studio or Prodigy. Experience with active learning or human-in-the-loop systems. Contributions to healthcare AI research or open-source projects.

Please note its NOT work from home job Interview location : In person We are not conduting any telephonic interviews. Key Skills Ability to work with large data sets using Python. Have a strong background in Python programming, MySQL, Linux, and Machine Learning. Basic knowledge of other relevant technologies, including Cloud computing, Jupyter Notebook, Machine learning algorithms, TensorFlow, PyTorch, Tesseract OCR, and NLP techniques and models such as SpaCy, Bert, NLTK and AutoML. Working through the phases of the project Job Type: Full-time Pay: Up to ₹25,000.00 per month Schedule: Day shift Morning shift Education: Bachelor's (Preferred) Experience: C++: 1 year (Required) Work Location: In person

📢 We're Hiring: AI/ML Experts in Generative AI, LLMs & RAG At Botminds AI, we’re redefining end-to-end document automation with Generative AI, LLMs, and Retrieval-Augmented Generation (RAG). We’re looking for seasoned AI/ML professionals who are passionate about turning cutting-edge research into real-world impact. 🚀 What You’ll Do Build LLM-powered solutions for document understanding, summarization, and QA Architect RAG pipelines using vector DBs and embedding models Fine-tune open-source LLMs (LLaMA, Mistral, Falcon, etc.) Lead POCs with OpenAI, Claude, Gemini, etc. and benchmark results Collaborate with engineering/product teams to ship ML features Work with OCR outputs, unstructured data, and knowledge bases Stay updated on GenAI, LLM, and retrieval trends 🧠 What You Bring 10+ years of experience in ML, AI, and NLP | 2+ years specializing in LLMs and Generative AI Strong skills in Python, PyTorch/TensorFlow, Hugging Face, LangChain Experience with vector DBs (FAISS, Pinecone, Qdrant, Weaviate) Proven RAG pipeline development and prompt engineering LLM fine-tuning, quantization, scalable deployment expertise Bonus: OCR tools experience (Azure Form Recognizer, Tesseract, Google Vision) Solid understanding of MLOps and scalable ML systems 🌟 Why Join Botminds? Be on the frontlines of GenAI-powered enterprise automation Work in a lean, elite team that ships high-impact features fast Flat hierarchy, high ownership, innovation-first culture Shape the future of intelligent document processing 📩 Interested or know someone who fits? Reach out to Srividhya@botmonds.ai to apply now — let’s build the future of automation together!

This C/C++ Developer role is responsible and accountable for the quality and coding of a variety of software applications and image processing tools. This includes both hands-on development, trouble shooting, and testing of systems among other technologies. This C/C++ Developer role requires a strong foundation in software development, data structures and image processing as well knowledge in neural network engines for pattern recognition. This role requires to be able to work independently, work in a team environment, and interface with other team resources like people from business or operation. JORDAN BASED. PLEASE SEND YOUR CV TO applicants@keytechsecurity.com Qualifications Required Knowledge/Skills/Abilities: • 7+ years software development experience with C,C++ • Recommended 2+ years software development experience with python is an add-on advantage • Create custom tools for data annotation (C++/Python) • Build C++ Open Source Libraries with cmake • Implement and train Dlib Hog Detector • Implement Fully Connected Neural Network model with Tensorflow C++ • Ability to test python open source deep learning classifiers such as MNIST, SVHN Classifier • Knowledge of Linear Algebra such as matrix and vectors operations • Minimum 4+ Yeas of image processing, machine learning experience using open source/third party neural network engines for OCR • Need to have experience with opensource stacks such as tesseract, Image processing experience with OpenCV, OpenALPR, DLib, TensorFlow. • Experience in Multi-Threading development. • Working knowledge of Object Oriented design, SOLID and design patterns • Experience with Agile development methodology is an add-on advantage • Individual must have experience working the entire product life-cycle and the ability to quickly grasp and distill highly complex user design issues into clean, understandable solutions. • Must be a creative thinker and have a keen interest in ensuring the best possible online experience for clients; possess a fine attention to detail and a disciplined approach to developing applications. • Strong communication skills, oral and written; able to engender trust and respect of team members. • Ability to communicate with and understand the needs of non-technical internal clients • Self-confident, possesses a strong work ethic, and is continually focused on improvement, innovation, and bottom-line results • Highly-motivated self-starter capable of juggling a number of priorities and delivering results on time in a high pressure, dynamic environment • Passionate commitment to the customer and to product quality. Champions the product and the customer's needs and implements a model of continuous improvement in both company goals and project-related tasks

About Our Company: Aerocraft Engineering India PVT Ltd based in Ahmedabad, provides services to US based Architecture, Engineering and Construction group of companies: Russell and Dawson – An Architecture/Engineering/Construction firm (www.rdaep.com) United-BIM – BIM Modeling Services Firm (www.united-bim.com) AORBIS – Procurement as a Service Provider (www.aorbis.com) For AORBIS business, We are seeking a passionate and skilled AI/ML Engineer with hands-on experience in Computer Vision, Document Processing Automation (PDFs), and LLMs . The ideal candidate will contribute to designing and deploying scalable AI solutions that extract, interpret, and act on unstructured and semi-structured data from documents using cutting-edge ML models. Familiarity with development tools like Python, GitHub, Jira, and Azure cloud is essential. Position: Senior Python & AI/ML Developer Timings: 12pm to 9pm - Monday to Friday Experience: Minimum 2-5 years Job Location: Ahmedabad (Siddhivinayak Towers, Makarba) Key Responsibilities: 1. Computer Vision & Image Processing Develop and optimize computer vision algorithms for document image processing (e.g., skew correction, OCR, layout detection). Implement models for object detection, segmentation, and keypoint detection in scanned or photographed documents. Apply pre-trained models and fine-tune them for use cases like table extraction or form understanding. 2. Machine Learning for PDF Automation Design and train models to extract structured data from unstructured PDFs (invoices, contracts, etc.). Use techniques like NLP, layout analysis, and supervised learning for content classification and entity extraction. Integrate tools such as Tesseract, PaddleOCR, Amazon Textract, or Azure Form Recognizer . 3. LLM (Large Language Models) Integration Fine-tune or prompt-engineer LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Claude) for document Q&A, summarization, or data enrichment. Build pipelines that blend OCR + LLM to automate document understanding and decision-making workflows. Evaluate and deploy open-source or commercial LLMs in a secure, scalable manner. 4. DevOps & Tooling Use GitHub for code version control, CI/CD pipelines, and collaborative development. Track and manage tasks and sprints using Jira in an Agile development setup. Docker and Kubernetes for smooth orchestration with server and client. Deploy and monitor ML models and APIs in the Azure cloud environment , leveraging Azure ML, Functions, or Containers. Required Skills and Experience: Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. 2+ years of hands-on experience with Python, OpenCV, TensorFlow/PyTorch, and ML frameworks. Strong grasp of NLP, OCR, and computer vision workflows. Experience working with PDF processing libraries (PDFMiner, PyMuPDF, PDFPlumber, etc.). Proficient in using and deploying models on Azure , with knowledge of Azure AI services. Understanding of version control with GitHub and task management via Jira . Exposure to prompt engineering and fine-tuning LLMs for domain-specific applications. Preferred Skills: Experience with open-source LLMs like LLaMA, Mistral, Falcon , or commercial APIs like OpenAI GPT-4 . Familiarity with vector databases (e.g., Qdrant, FAISS, Weaviate, ChromaDB ) and RAG-based systems. Knowledge of document standards like PDF/A, XFA, etc. Comfortable working in a fast-paced, research-oriented environment. 🎯 Key Responsibilities Build computer vision models for document layout analysis, object detection, and OCR enhancement. Automate data extraction from complex PDF documents (invoices, contracts, forms). Work with LLMs (e.g., GPT, LLaMA) for summarization, Q&A, and document intelligence tasks. Integrate AI pipelines with tools like Tesseract, Azure Form Recognizer, PDFMiner, PaddleOCR, etc. Deploy and manage ML solutions using Azure cloud services. Collaborate using GitHub (version control), Jira (Agile task tracking), and CI/CD workflows. ✅ Requirements 2–5 years of hands-on experience in AI/ML, preferably in document intelligence or vision-based systems. Strong Python skills with frameworks like TensorFlow, PyTorch, OpenCV. Proven experience in OCR, NLP, and automating document workflows. Experience with LLMs and prompt engineering or fine-tuning. Comfortable with DevOps tools: Azure, GitHub, Docker, Kubernetes and Jira. Benefits: Exposure to US Projects/Design/Standards Company provides Dinner/Snacks/Tea/Coffee Reimbursable Health Insurance 15 paid leave annually & 10 Public Holidays

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Key Responsibilities Build robust document data extraction pipelines using NLP and OCR techniques Develop and optimize end-to-end workflows for parsing scanned/image-based documents (PDFs, JPGs, TIFFs) and structured files (MS Excel, MS Word). Leverage LLM models (OpenAI GPT, Claude, Gemini etc.) for advanced entity extraction, summarization, and classification tasks. Design and implement Python-based scripts for parsing, cleaning, and transforming data. Integrate with Azure Services for document storage, compute, and secured API hosting (e.g., Azure Blob, Azure Functions, Key Vault, Azure Cognitive Services). Deploy and orchestrate workflows in Azure Databricks (including Spark and ML pipelines). Build and manage API calls for model integration, rate-limiting, and token control using AI gateways. Automate results export into SQL/Oracle databases and enable downstream access for analytics/reporting. Handle diverse metadata requirements, and create reusable, modular code for different document types. Optionally visualize and report data using Power BI and export data into Excel for stakeholder review. Technical Skills Required Skills & Qualifications: Strong programming skills in Python (Pandas, Regex, Pytesseract, spaCy, LangChain, Transformers, etc.) Experience with Azure Cloud (Blob Storage, Function Apps, Key Vaults, Logic Apps) Hands-on with Azure Databricks (PySpark, Delta Lake, MLFlow) Familiarity with OCR tools like Tesseract, Azure OCR, AWS textract, or Google Vision API Proficient in SQL and experience with Oracle Database integration (using cx_Oracle, SQLAlchemy, etc.) Experience working with LLM APIs (OpenAI, Anthropic, Google, or Hugging Face models) Knowledge of API development and integration (REST, JSON, API rate limits, authentication handling) Excel data manipulation using Python (e.g., openpyxl, pandas, xlrd) Understanding of Power BI dashboards and integration with structured data sources Nice To Have Experience with LangChain, LlamaIndex, or similar frameworks for document Q&A and retrieval-augmented generation (RAG) Background in data science or machine learning CI/CD and version control (Git, Azure DevOps) Familiarity with Data Governance and PII handling in document processing Soft Skills Strong problem-solving skills and an analytical mindset Attention to detail and ability to work with messy/unstructured data Excellent communication skills to interact with technical and non-technical stakeholders Ability to work independently and manage priorities in a fast-paced environment Show more Show less

Role : Automation Anywhere Developer Location : Hyd/ Bangalore Notice : Immediate to 15 Days Experience : 4 to 10+ Years No. of Roles : 3 Common JD: A highly skilled and result-oriented RPA Lead with 4+ years of experience in designing, developing, and deploying automation solutions using Automation Anywhere (A360 and v11.x) . Adept at automating end-to-end SAP business processes across modules like MM, SD, FI, PM , and IS-U , with proven capabilities in integrating SAP systems using GUI scripting, BAPI, and IDoc-based mechanisms. Known for delivering scalable, secure, and reusable bots that optimize operational efficiency in enterprise environments. Domain Expertise: SAP ERP Automation (ECC & S/4HANA) Energy / Utilities Sector Meter-to-Cash (M2C) Procure-to-Pay (P2P) Asset Maintenance & Lifecycle Financial Reconciliation & Regulatory Reporting Technical Skills & Tools: RPA Tools & Platforms: Automation Anywhere A360 (Primary) Experience with Automation Anywhere v11.x (Migration/Support) IQ Bot / Document Automation for semi-structured document processing Bot Insight for analytics and monitoring Control Room : Deployment, bot scheduling, role management SAP Automation Expertise: SAP GUI Automation (via GUI Scripting) BAPI / RFC Integration using API/Web Services IDoc monitoring and processing SAP Fiori Web Automation (XPath, DOM model, etc.) Hands-on with SAP modules: MM, SD, FI, PM, HR, IS-U Scripting & Integration: VBScript , JavaScript , Python – for custom logic in bots RESTful API integration with external systems Excel macros, CSV, JSON/XML data parsing Development Tools: Automation Anywhere Bot Editor Visual Studio Code , Notepad++ Postman – for API testing Git – for version control (optional but beneficial) Other Technologies: MS Excel , Outlook , SharePoint OCR Engines – Tesseract (via IQ Bot), ABBYY (basic familiarity) Experience with Jira , ServiceNow , or Azure DevOps for ticketing & tracking Roles & Responsibilities: Developed and deployed RPA bots to automate repetitive and rule-based SAP processes. Automated workflows involving SAP transactions (FB60, ME21N, VL10B, IW31, etc.). Interfaced bots with SAP Business APIs and leveraged IDocs for backend transactions. Designed reusable components for master data updates, invoice processing, and purchase order creation. Handled SAP login, session management, and bot exception handling. Worked on IQ Bot for invoice OCR automation integrated with SAP MM module. Collaborated with SAP functional teams and business users to gather process requirements. Created bot documentation, deployment runbooks, and post-production support guides. Certifications: Automation Anywhere Advanced RPA Professional (A360) Soft Skills: Strong problem-solving and analytical skills Good verbal and written communication Agile and collaborative working style Attention to detail and process-driven mindset Show more Show less

Python ML Engineer Experience : 3 to 4 years Location : Chennai Type : Full-time About the Role We are looking for a talented and motivated Machine Learning Engineer with strong experience in Natural Language Processing (NLP) and Python . The ideal candidate will have hands-on experience developing and deploying machine learning models, particularly focused on text data, and be comfortable working in a fast-paced, collaborative environment. Key Responsibilities Design, develop, and deploy NLP models for text classification, information extraction, summarization, and/or sentiment analysis. Preprocess and clean large text corpora using NLP tools and libraries. Implement and fine-tune machine learning models using libraries like scikit-learn , spaCy , Transformers , or TensorFlow/Keras . Work with OCR tools (e.g., Tesseract , EasyOCR ) if working with scanned documents/images. Collaborate with data scientists, backend engineers, and product managers to integrate ML models into production systems. Analyse model performance and continuously improve accuracy, precision, and recall. Write clean, maintainable, and testable Python code. Required Skills & Qualifications 2 to 3 years of hands-on experience in Machine Learning and NLP using Python. Strong grasp of text preprocessing , tokenization , POS tagging , NER , topic modelling , etc. Experience with spaCy , NLTK , Hugging Face Transformers , or similar NLP libraries. Experience building and tuning models for classification, clustering, or regression tasks. Knowledge of OCR technologies (e.g., Tesseract , OpenCV ) is a plus. Familiarity with version control systems (e.g., Git ) and agile development. Bachelor's degree in Computer Science, Data Science, AI, or a related field. 📩 Don’t miss out! Send your CV to Prerana.prakash@adept-view.com today! Show more Show less

Job Title: Backend Engineer Location: Remote Experience: 2+ Years CTC: Up to 17 LPA Key Responsibilities: -Design, develop, and maintain scalable backend systems and APIs. -Work on distributed services using Python (Flask, Celery, Gevent, PyTorch, Tesseract). -Implement document processing and integrate with LLMs/OCR pipelines. -Contribute to infrastructure using Docker and Terraform/OpenTofu. -Write performant, reliable backend code that scales across use cases. -Collaborate cross-functionally with the frontend, ML, and product teams. -Own deployments and manage backend services in a DevOps-friendly setup. Required Skills & Qualification: -Strong proficiency in Python and related frameworks (Flask, Celery, etc.). -Experience with Node.js and JavaScript backend development. -Hands-on DevOps knowledge — Terraform/OpenTofu and Docker required. -Understanding of distributed systems and performance optimization. -Familiarity with LLMs, OCR, and machine learning concepts. -2+ years of experience through work or independent projects. -Comfortable working in Linux terminals and remote environments. Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

You will be building and maintaining high-performance, scalable web applications. You will be responsible for hands-on development and managing the development lifecycle, ensuring the timely delivery of projects. You should possess strong technical expertise in both frontend and backend technologies, alongside excellent leadership and project management skills. Architecture And Development The core responsibilities for the job include the following: Oversee the architecture and design of both frontend and backend components of web applications Drive the development of scalable, maintainable, and efficient full-stack solutions using modern technologies. Participate in code reviews, providing constructive feedback and ensuring adherence to coding standards. Work as a member of an Agile Software Development Team to help implement new functionality based on business requirements. Collaboration And Communication Act as a liaison between the engineering team and other departments, facilitating clear communication of progress, risks, and dependencies. Collaborate with cross-functional teams to define, design, and ship new features that meet business and customer needs. Ensure smooth integration of frontend and backend components to deliver a seamless user experience. Process Optimisation Implement and improve engineering processes, tools, and methodologies to optimize team productivity and project efficiency. Ensure the team follows Agile development principles, including regular sprints, standups, and retrospectives. Monitor and improve the performance, scalability, and security of full-stack applications. Technical Innovation Stay up to date with the latest industry trends, technologies, and best practices, ensuring the team adopts modern tools and frameworks. Advocate for and lead the adoption of new technologies and practices where appropriate. Champion continuous learning and encourage experimentation within the team. Requirements Experience in building cutting-edge products and in people management. Experience in full-stack or application development. Experience in building cloud service in MEAN/MERN stack using micro-services. Strong communication skills to interact with Agile team members. Agile Development Experience. Good understanding of technology and architecture in a highly scalable and available setup. Strong experience handling workflows and scheduling, building pluggable frameworks and systems, and strong abstraction, and design skills. Proven track record of delivering products with high quality, and familiarity with multiple software development practices and tools. Strong partnership with product and business teams that demonstrates effective collaboration and communication across multiple stakeholders. Ability to work in dynamic, fast-paced, and high-pressure environments. Excellent liaison, and relationship skills (to collaborate with and support technology/business partners). This job was posted by Mukti Shetty from Jio Tesseract. Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

About the Role: We are looking for a hands-on Data Engineer to join our team and take full ownership of scraping pipelines and data quality. You'll be working on data from 60+ websites involving PDFs, processed via OCR and stored in MySQL/PostgreSQL. You’ll build robust, self-healing pipelines and fix common data issues (missing fields, duplication, formatting errors). Responsibilities: Own and optimize Airflow scraping DAGs for 60+ sites Implement validation checks, retry logic, and error alerts Build pre-processing routines to clean OCR'd text Create data normalization and deduplication workflows Maintain data integrity across MySQL and PostgreSQL Collaborate with ML team for downstream AI use cases Requirements: 2–5 years of experience in Python-based data engineering Experience with Airflow, Pandas, OCR (Tesseract or AWS Textract) Solid SQL and schema design skills (MySQL/PostgreSQL) Familiarity with CSV processing and data pipelines Bonus: Experience with scraping using Scrapy or Selenium Location: Delhi (in-office only) Salary Range : 50-80k/Month Show more Show less

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Datacrew.ai seeking a skilled Python TechLead with a strong interest in artificial intelligence and machine learning. Position: Python/ML – Tech Lead Experience: 5 + years No of positions: 1 Location: Chennai, India Immediate Joiners preferred Key Skills & Responsibilities Key Skills: Python, Python Flask, NLP (Content extraction), Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision (Image Processing), TensorFlow, PyTorch, Keras, Scikit- learn, Paddle, ML, ML Algorithms, Neural Networks (CNN), Git, CI/CD, Cloud Experience (Any) Must Have Skills: ü Proficiency in Python programming language. ü Minimum 4+ years of hands-on experience in python and ML ü Strong background in machine learning algorithms and frameworks. ü Understand the requirements and objectives of the assigned projects ü Recommend appropriate approaches and technologies to deploy to achieve the objectives ü Iterate the development process to improve effectiveness of the models ü Implement parallel processing and other techniques to enhance processing speed ü Deep understanding of data extraction with Computer Vision and Deep learning libraries ü Excellent problem solving and analytical skills ü Ability to understand project requirements and objectives, and translate them into actionable development tasks ü Effective communication with stakeholders to provide technical insights and project updates ü Ability to lead and mentor a team of developers, ensuring adherence to best practices and coding standards ü Strong project management skills, including task prioritization, resource planning, and risk management Nice To Have Skills: ü Experience with deep learning frameworks such as TensorFlow or PyTorch. ü Familiarity with natural language processing (NLP) techniques. ü Previous work on computer vision projects ü Demonstrated experience and success in computer vision and text extraction projects Show more Show less

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. COMPUTER VISION & EDGE AI ENGINEER The CV + Edge AI Engineer develops AI solutions for visual understanding, document parsing, and multimodal processing. This role enables new use cases beyond text by integrating image, OCR, and edge-deployable AI capabilities. Key Duties/ Responsibilities Develop OCR and image processing pipelines using OpenCV, Tesseract, or AWS Textract. Train and fine-tune visual models (e.g., YOLOv8, SAM, CLIP) for internal PoCs. Integrate visual AI modules into end-to-end workflows used by LLMs or agents. Optimize models for edge deployments using ONNX, TensorRT, or TFLite. Collaborate with backend and AI teams for data structure alignment. Leadership Skills: Self-driven in visual AI exploration. Effective in prototyping and cross-functional collaboration. Ability to demonstrate impact through PoCs. Required Technical Skills: OpenCV, YOLOv8, SAM, BLIP2, Tesseract. ONNX, TensorRT, AWS Panorama, Jetson Nano. Python, PyTorch/TensorFlow, edge deployment toolchains. Experience with one or more visual AI stacks such as YOLOv8, SAM, CLIP, or equivalent. Capability to structure visual outputs for downstream agent or LLM processing. Qualification: Bachelor’s or Master's degree in Computer Science, AI/ML, Data Science, or related fields. Experience 4 + Years

JOB DESCRIPTION: Role: Data Scientist / Deep Learning Engineer Location: Senapati Bapat Road, Pune Experience : 5-10 Years General Summary of the Role: Develop and optimize computer vision models for o bject 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. Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing. Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks. Optimize software for real-time performance on multiple platforms. Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases. Use Git/GitHub for version control and team collaboration. Apply ML algorithms (regression, decision trees, clustering) as needed. Review code, mentor team members, and enhance model efficiency. Stay updated with advancements in deep learning and multimodal AI. Required Skills & Qualifications: Python proficiency for AI development. Experience with PyTorch, TensorFlow, and OpenCV. Knowledge of object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Experience with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR). Experience with RNNs, LSTMs, GRUs for sequence-based tasks. Experience with Generative Adversarial Networks (GANs) and Diffusion Models for image generation. Familiarity with REST APIs (Flask/FastAPI) and SQL/NoSQL databases. Strong problem-solving and real-time AI optimization skills. Experience with Git/GitHub for version control. Knowledge of Docker, Kubernetes, and model deployment at scale on serverless and on-prem platforms. Understanding of vector databases (FAISS, Milvus). Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure). Experience with Vision Transformers (ViTs) and Generative AI (GANs, Stable Diffusion, LMMs). Familiarity with Frontend Technologies. Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹2,500,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Application Question(s): what is your notice period? What's your current CTC? Experience: Deep learning/Data scientist: 5 years (Required) PyTorch, Python: 5 years (Required) TensorFlow: 5 years (Required) cloud platforms AWS, GCP, Azure: 5 years (Required) Vision Transformers (ViTs) and Generative AI: 5 years (Required) video processing & computer vision: 5 years (Required) Location: Pune, Maharashtra (Required) Work Location: In person

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud – Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications: Master’s degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelor’s degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience: Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition: High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. 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. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

Agnito Technologies is Hiring: NLP Engineer – Document Intelligence Location: Bhopal (Work From Office) Vacancy: 1 Experience: 5+ years in compliance-related NLP projects Package: No bar for the right candidate Role Overview: Agnito Technologies is looking for a skilled NLP Engineer (Document Intelligence) to develop and deploy advanced NLP solutions for parsing and understanding complex legal and regulatory documents. You’ll be working on OCR, NER, and transformer-based models that power AI systems for compliance and document automation. Key Skills & Tools: OCR Technologies (e.g., Tesseract, Amazon Textract) Named Entity Recognition (NER) using spaCy or custom models PDF Parsing and document structure extraction Transformer Models (e.g., BERT, RoBERTa, LayoutLM) Experience working with legal, compliance, or regulatory text corpora Familiarity with document intelligence frameworks and text pipelines Candidate Requirements: 5+ years of hands-on NLP experience in compliance, legal tech, or regulated industries Strong foundation in linguistic processing, entity recognition, and document classification Experience with NLP frameworks like spaCy, Hugging Face Transformers, and NLTK Knowledge of data privacy and governance in NLP use cases is a plus Job Type: Full-time Schedule: Day shift Work Location: In person

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less