114 Tesseract Jobs - Page 2

Job Title: AI Developer Location: Chandigarh, India Department: Product & Innovation Reports To: Product Director Job Type: Full-Time About Us: TRUQUANTUM IT is a Global Leading Organization dedicated to leveraging cutting-edge technology to drive business innovation and growth. We're architects of online experiences, innovators in the digital landscape, and partners in our clients' success stories. Our journey began with a simple yet powerful vision — to transform businesses through strategic and creative digital solutions. At TRUQUANTUM IT , we pride ourselves on a holistic approach to digital excellence. We don't just create websites or run marketing campaigns; we craft immersive digital journeys that resonate with audiences. From the inception of an idea to its execution, we bring together a team of passionate professionals who thrive on pushing boundaries and challenging the status quo. Our global team comprises of industry experts hailing from Canada and APAC realms including India and Indonesia having creative and innovative minds. We are tech-savvy enthusiasts and bring a wealth of intelligence and expertise to the table. Whether it's web development, design, digital marketing, or emerging technologies, we're here to navigate the complexities and deliver solutions that make a lasting impact. Position Overview: We are looking for an AI Developer to help integrate AI-driven features into MaxelTracker, our employee efficiency enhancement tool . The ideal candidate should be experienced in machine learning (ML), large language models (LLMs) like ChatGPT, and computer vision to analyze user activity, derive insights from screenshots, automate reporting, and develop intelligent recommendations to enhance productivity. Job Location and Address: This requirement is Full Time and working from the office only. No Hybrid or Remote is available. The Incumbent is required to work in the following location: Plot No E 275, Industrial Area, Sector 75, Sahibzada Ajit Singh Nagar, Punjab 160071 Responsibilities: Develop ML models to classify user activities and measure productivity. Implement OCR-based AI models to extract insights from captured screenshots. Leverage ChatGPT (LLMs) for AI-driven recommendations and reports . Build AI-powered automation for productivity tracking and workflow optimization. Integrate AI-driven anomaly detection to flag non-productive or suspicious activities. Design and optimize AI models for real-time processing and insights generation. Work with the backend team to deploy AI models in a scalable manner. Maintain code quality and implement AI testing frameworks . Requirements: Technical Skills: Strong proficiency in Python, TensorFlow, PyTorch, OpenCV, and LangChain . Experience with ChatGPT, LLMs, and AI-based conversational interfaces . Knowledge of OCR technologies (Tesseract, Google Vision API) and NLP . Familiarity with cloud-based AI deployments (AWS, Azure, GCP) . Experience in data processing, time-series analysis, and feature engineering . Strong understanding of REST APIs and AI model integration . Experience in real-time AI model optimization and inference . Soft Skills: Ability to troubleshoot AI models and debug performance issues . Strong analytical and problem-solving skills. Effective communication and collaboration with cross-functional teams . What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and innovative work environment.

About Us For over 20 years, Smart Data Solutions has been partnering with leading payer organizations to provide automation and technology solutions enabling data standardization and workflow automation. The company brings a comprehensive set of turn-key services to handle all claims and claims-related information regardless of format (paper, fax, electronic), digitizing and normalizing for seamless use by payer clients. Solutions include intelligent data capture, conversion and digitization, mailroom management, comprehensive clearinghouse services and proprietary workflow offerings. SDS’ headquarters are just outside of St. Paul, MN and leverages dedicated onshore and offshore resources as part of its service delivery model. The company counts over 420 healthcare organizations as clients, including multiple Blue Cross Blue Shield state plans, large regional health plans and leading independent TPAs, handling over 500 million transactions of varying types annually with a 98%+ customer retention rate. SDS has also invested meaningfully in automation and machine learning capabilities across its tech-enabled processes to drive scalability and greater internal operating efficiency while also improving client results. SDS recently partnered with a leading growth-oriented investment firm, Parthenon Capital, to further accelerate expansion and product innovation. Location : 6th Floor, Block 4A, Millenia Business Park, Phase II MGR Salai, Kandanchavadi , Perungudi Chennai 600096, India. Smart Data Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge skill and or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform essential job functions. Due to access to Protected Healthcare Information, employees in this role must be free of felony convictions on a background check report. Responsibilities Duties and Responsibilities include but are not limited to: Design and build ML pipelines for OCR extraction, document image processing, and text classification tasks. Fine-tune or prompt large language models (LLMs) (e.g., Qwen, GPT, LLaMA , Mistral) for domain-specific use cases. Develop systems to extract structured data from scanned or unstructured documents (PDFs, images, TIFs). Integrate OCR engines (Tesseract, EasyOCR , AWS Textract , etc.) and improve their accuracy via pre-/post-processing. Handle natural language processing (NLP) tasks such as named entity recognition (NER), summarization, classification, and semantic similarity. Collaborate with product managers, data engineers, and backend teams to productionize ML models. Evaluate models using metrics like precision, recall, F1-score, and confusion matrix, and improve model robustness and generalizability. Maintain proper versioning, reproducibility, and monitoring of ML models in production. The duties set forth above are essential job functions for the role. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions. Skills And Qualifications 4–5 years of experience in machine learning, NLP, or AI roles Proficiency with Python and ML libraries such as PyTorch , TensorFlow, scikit-learn, Hugging Face Transformers. Experience with LLMs (open-source or proprietary), including fine-tuning or prompt engineering. Solid experience in OCR tools (Tesseract, PaddleOCR , etc.) and document parsing. Strong background in text classification, tokenization, and vectorization techniques (TF-IDF, embeddings, etc.). Knowledge of handling unstructured data (text, scanned images, forms). Familiarity with MLOps tools: MLflow , Docker, Git, and model serving frameworks. Ability to write clean, modular, and production-ready code. Experience working with medical, legal, or financial document processing. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate ) and semantic search. Understanding of document layout analysis (e.g., LayoutLM , Donut, DocTR ). Familiarity with cloud platforms (AWS, GCP, Azure) and deploying models at scale

Urgently Hiring for AI/ML Role We are seeking an experienced AI/ML Engineer with 3–5 years of hands-on experience in building and deploying machine learning solutions in the fintech and spend management domain. You will work on real-time forecasting, intelligent document processing (invoices/receipts), fraud detection, and other AI-powered features that enhance our finance intelligence platform. This role demands expertise in both time series forecasting and computer vision, as well as a solid understanding of how ML applies to enterprise finance operations. Key Responsibilities: Design, train, and deploy ML models for spend forecasting, budget prediction, expense categorization, and risk scoring. Build and optimize OCR-based invoice and receipt parsing systems using computer vision and NLP techniques. Implement time-series models (Prophet, ARIMA, LSTM, XGBoost, etc.) for forecasting trends in financial transactions, expenses, and vendor payments. Work on intelligent document classification, key-value extraction, and line-item detection from unstructured financial documents (PDFs, scanned images). Collaborate with product and finance teams to define high-impact AI use cases and deliver business-ready solutions. Integrate ML pipelines into production using scalable tools and platforms (Docker, CI/CD, cloud services). Monitor model performance post-deployment, conduct drift analysis, and implement retraining strategies. Required Skills & Qualifications: Core Machine Learning Strong knowledge of supervised and unsupervised ML techniques applied to structured and semi-structured financial data Experience in time-series analysis and forecasting algorithms such as: ARIMA, SARIMA Facebook Prophet XGBoost for regression LSTM / GRU models for sequential data Proficiency in Python and key libraries: scikit-learn, Pandas, NumPy, StatsModels, PyTorch, TensorFlow. Computer Vision & Document AI Hands-on experience with OCR tools such as Tesseract, Google Vision API, or AWS Textract. Knowledge of document layout analysis and field-level extraction using OpenCV, LayoutLM, or Google Document AI. Familiarity with annotation tools (Label Studio, CVAT) and post-processing OCR outputs for structured data extraction. Deployment & Engineering Experience in exposing ML models via Flask or FastAPI. Model packaging and deployment with Docker, version control with Git, and ML lifecycle tools like MLflow or DVC. Working knowledge of cloud platforms (AWS/GCP/Azure) and integrating models with backend microservices. Data & Domain Understanding of financial documents: invoices, receipts, expense reports, and GL data. Ability to work with tabular, image-based, and PDF-based financial datasets. SQL proficiency and familiarity with financial databases or ERP systems is a plus.

We are seeking a highly skilled and motivated Senior Engineer Data & AI to join our dynamic team. In this role, you will serve as a key technical expert and hands-on contributor, helping design, develop, and scale AI solutions that address complex business challenges. While not a people manager, you will influence projects through your expertise, technical decision-making, and peer mentorship. You will work closely with cross-functional teams to implement cutting-edge AI/ML technologies particularly in Generative AI, NLP, and document understandingensuring the successful execution of high-impact initiatives. If you thrive in an environment that values autonomy, innovation, and ownership, and you enjoy pushing the boundaries of what's possible in AI, this role is for you. Who You Are A strong technical expert in AI/ML who loves solving real-world problems using technology and data. Comfortable working across the stackfrom training and fine-tuning models to deploying them in production. Experienced with tools and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, spaCy, Tesseract, LayoutLM, Donut, PaddleOCR, OpenCV, and others in the AI and document processing space. Passionate about Generative AI, NLP, and document AI technologies, and well-versed with the latest research and applications. Able to collaborate cross-functionally with product, engineering, and R&D teams to deliver scalable, production-ready solutions. Skilled in communicating technical concepts to peers and non-technical stakeholders alike. Comfortable working in a fast-paced environment with an entrepreneurial spirit, contributing to initiatives end to end. Proactively mentors juniors, supports peer code reviews, and contributes to shared learning in the You Will Do : AI Vision And Roadmap Align with the AI vision, contributing to and executing the roadmap for AI projects across the company. You will play an integral role in setting strategic AI goals while acting as an IC driving Frameworks & Methodologies : Contribute to the development of best practices and frameworks for AI model development, deployment, and maintenance. Champion the use of advanced AI/ML tools and platforms such as TensorFlow, PyTorch, Hugging Face, spaCy, and Transformers for & Research : Stay at the forefront of AI/ML advancements, incorporating new technologies, including Generative AI and Document Processing tools like LayoutLM and Donut. Contribute innovative solutions to AI challenges and integrate new Governance & Ethics : Ensure ethical AI practices and help develop policies and procedures that govern the responsible application of AI. Focus on fairness, bias, privacy, and transparency while ensuring compliance with legal, regulatory, and organizational Development : While working as an IC, you will also take on a mentorship role, supporting junior AI team members, sharing your expertise, and fostering a collaborative culture of innovation and excellence. Guide your peers through complex technical Enablement : Collaborate with R&D, engineering, and business development teams to turn AI insights into actionable solutions, driving the development of AI-powered products and Communication : As a Manager, Data & AI, you will communicate AI strategies and developments to functional heads and executive leadership. You will help ensure alignment and understanding across all levels of the organization, bridging the gap between technical and non-technical stakeholders. (ref:hirist.tech)

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.,

You will be responsible for owning the full ML stack that is capable of transforming raw dielines, PDFs, and e-commerce images into a self-learning system that can read, reason about, and design packaging artwork. This includes building data-ingestion & annotation pipelines for SVG/PDF to JSON conversion, designing and modifying model heads using technologies such as LayoutLM-v3, CLIP, GNNs, and diffusion LoRAs, training & fine-tuning on GPUs, as well as shipping inference APIs and evaluation dashboards. Your daily tasks will involve close collaboration with packaging designers and a product manager, establishing you as the technical authority on all aspects of deep learning within this domain. Your key responsibilities will be divided into three main areas: **Area Tasks:** - Data & Pre-processing (40%): Writing robust Python scripts for parsing PDF, AI, SVG files, extracting text, colour separations, images, and panel polygons. Implementing tools like Ghostscript, Tesseract, YOLO, and CLIP pipelines. Automating synthetic-copy generation for ECMA dielines and maintaining vocabulary YAMLs & JSON schemas. - Model R&D (40%): Modifying LayoutLM-v3 heads, building panel-encoder pre-train models, adding Graph-Transformer & CLIP-retrieval heads, and running experiments, hyper-param sweeps, ablations to track KPIs such as IoU, panel-F1, colour recall. - MLOps & Deployment (20%): Packaging training & inference into Docker/SageMaker or GCP Vertex jobs, maintaining CI/CD, experiment tracking, serving REST/GraphQL endpoints, and implementing an active-learning loop for designer corrections. **Must-Have Qualifications:** - 5+ years of Python experience and 3+ years of deep-learning experience with PyTorch, Hugging Face. - Hands-on experience with Transformer-based vision-language models and object-detection pipelines. - Proficiency in working with PDF/SVG tool-chains, designing custom heads/loss functions, and fine-tuning pre-trained models on limited data. - Strong knowledge of Linux, GPU, graph neural networks, and relational transformers. - Proficient in Git, code review discipline, and writing reproducible experiments. **Nice-to-Have:** - Knowledge of colour science, multimodal retrieval, diffusion fine-tuning, or packaging/CPG industry exposure. - Experience with vector search tools, AWS/GCP ML tooling, and front-end technologies like Typescript/React. You will own a tool stack including DL frameworks like PyTorch, Hugging Face Transformers, torch-geometric, parsing/CV tools, OCR/detectors, retrieval tools like CLIP/ImageBind, and MLOps tools such as Docker, GitHub Actions, W&B or MLflow. In the first 6 months, you are expected to deliver a data pipeline for converting ECMA dielines and PDFs, a panel-encoder checkpoint, an MVP copy-placement model, and a REST inference service with a designer preview UI. You will report to the Head of AI or CTO and collaborate with a front-end engineer, a product manager, and two packaging-design SMEs.,

Title - AI Engineer Type - Contract Location - Remote Roles and Responsibilities: - Design and implement AI solutions using LLMs for tasks such as summarization, question answering, and document understanding. - Build and optimize retrieval-augmented generation (RAG) pipelines by combining OCR and LLMs for unstructured document processing. - Integrate LLMs and OCR tools, such as Azure Document Intelligence and Tesseract, into scalable applications. - Preprocess scanned and digital documents using OCR to extract structured and semi-structured text for LLM input. - Perform prompt engineering and fine-tuning of LLMs to enhance accuracy and task-specific performance. - Evaluate and monitor LLM+OCR system outputs for quality, bias, and hallucination risks. - Collaborate with cross-functional teams to deliver AI solutions tailored to domain-specific needs. - Stay updated on the latest developments in foundation models, Agentic AI, and OCR technologies. Qualifications : - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 4+ years of experience in AI/ML, with a focus on LLMs and prompt engineering. - Proven ability to work independently, demonstrating initiative, ownership, and accountability across all phases of solution development. - Practical understanding of SAFe Agile methodologies, with experience delivering AI/ML solutions in cross-functional Agile teams. Tools and Technologies: - Hands-on experience with LLM frameworks such as LangChain and Semantic Kernel. - Strong understanding of vector search, embedding models, and semantic retrieval (e.g., FAISS, Pinecone, Azure Cognitive Search). - Proficiency in Python, with experience integrating APIs, function calling, regular expressions, and handling LLM outputs. - Deep expertise in prompt engineering, including few-shot prompting, prompt tuning, prompt chaining, and optimization techniques for task-specific accuracy and cost control. - Solid knowledge of RAG architectures and agent design patterns (e.g., tool use, memory, planning). - Experience with OCR technologies (e.g., Tesseract, Azure Document Intelligence) for document understanding and information extraction from scanned or image-based content. - Familiarity with LLM platforms and tools like Azure OpenAI, LLMOps. - Experience deploying LLM-based applications in cloud environments, with attention to performance, reliability, and scalability.

Job Summary: We are looking for a passionate and experienced Python Developer with strong skills in Computer Vision , OCR , Object Detection (YOLO) , and GUI application development using Tkinter . The ideal candidate will work on end-to-end solutions that involve processing images and videos in real-time, designing intuitive GUIs, and integrating AI-powered vision models. Key Responsibilities: Develop and maintain computer vision applications using OpenCV (cv2) and NumPy . Design and build responsive desktop GUIs using Tkinter . Integrate and optimize YOLO-based object detection systems (YOLOv5, YOLOv8, or YOLO-NAS). Implement OCR pipelines using libraries like Tesseract OCR , EasyOCR , or similar. Handle real-time image/video feeds (including RTSP streams). Use multi-threading (threading module) to manage background processing without blocking the GUI. Save and load models/configurations using pickle . Collaborate with AI/ML engineers to deploy custom-trained models. Optimize performance for speed and accuracy across various devices (including edge devices). Maintain codebase with good documentation and version control (Git). Required Skills: Strong programming experience with Python . Deep knowledge of OpenCV (cv2) for video/image processing. GUI development expertise using Tkinter . Object detection model integration using YOLO (You Only Look Once). Experience in OCR using tools like Tesseract , EasyOCR , etc. Excellent understanding of NumPy operations. Serialization/deserialization with pickle . Multithreading for parallel and non-blocking operations. Familiarity with camera streams (USB/IP/RTSP). Nice to Have: Experience with TensorFlow , PyTorch , or ONNX model integration. Exposure to PyQt or other Python GUI frameworks. Familiarity with Raspberry Pi or embedded systems. Knowledge of image pre-processing techniques to improve OCR accuracy. Hands-on experience with Docker and deployment tools. Job Type: Full-time Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Location Type: In-person Schedule: Day shift Experience: Python: 2 years (Required) Work Location: In person Speak with the employer +91 9514347734

As a Data & AI Manager at our organization, you will be responsible for driving AI and data strategies to ensure our company remains at the forefront of AI innovation. You will leverage your expertise in Generative AI, Natural Language Processing (NLP), and AI-driven document processing technologies to lead projects, work hands-on with AI frameworks and tools, and guide the adoption of AI best practices within the organization. In this role, you will play a key part in setting strategic AI goals, contributing to the development of best practices and frameworks for AI model development, deployment, and maintenance. You will champion the use of advanced AI/ML tools and platforms such as TensorFlow, PyTorch, Hugging Face, spaCy, and Transformers for NLP. Additionally, you will stay updated with the latest advancements in AI/ML, incorporating new technologies like Generative AI and Document Processing tools such as LayoutLM and Donut, while contributing innovative solutions to AI challenges. Furthermore, as a leader in this capacity, you will focus on team development by mentoring junior AI team members, sharing your expertise, and fostering a collaborative culture of innovation and excellence. You will collaborate with R&D, engineering, and business development teams to turn AI insights into actionable solutions, driving the development of AI-powered products and services. Effective communication of AI strategies and developments to functional heads and executive leadership will also be a critical aspect of your role, ensuring alignment and understanding across all levels of the organization. Our selection process for this role will include an Aspiration Alignment Discussion, Role Fitment Round, and HR Round for interaction and offer extension. Perennial Systems, our organization, is an Outsourced Product Development Organization specializing in solving complex problems of engineering and product teams using a process-driven approach. We work with various product-based companies across South East Asia, US & UK, and focus on building products with cutting-edge technologies for web, mobile, and cloud platforms. Additionally, we are the proud owner of GSTTHero, a product appointed by the Govt of India as a GST Suvidha Provider, enabling automations of GST compliances in India. At Perennial, we offer strong engineering teams, consulting exposure & product-driven mindset, learning culture, and a collaborative environment to support our team members in exploring and learning the upcoming market trends. We promote a learning culture with access to more than 8000+ courses, sponsor certifications, and arrange in-house and external tech MeetUps to enhance the growth of our people. Our teams work closely with other verticals to ensure a seamless and collaborative approach to client acquisition and retention.,

Bosch Software Engineering Coimbatore, Tamil Nadu, India Posted on Jul 11, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description We are seeking a highly skilled and motivated Senior Software Developer to join our dynamic team. The ideal candidate will have expertise in Python development , PyQt , and Optical Character Recognition (OCR) technologies. You will play a key role in enhancing user test writing workflow with a custom Python Automated Testing Framework. Key Responsibilities Enhance custom Python based test automation application with new functionality. Improve application UI and user workflow based on feedback from tool users. Optimize performance and accuracy of OCR functionality for various languages. Write clean, maintainable, and well-documented code following best practices. Qualifications Educational qualification: B.E / B.Tech Experience 5+ Years Mandatory/requires Skills Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in software development with a strong focus on Python. Proven experience with Qt (PyQt or PySide) for developing desktop applications. Hands-on experience with OCR technologies and libraries. Strong understanding of image processing and computer vision concepts. Familiarity with version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Skills Experience with the following Python libraries: PyQt, OpenCV, Pillow, Pyinstaller. Experience with the following technologies: Tesseract OCR, ZeroMQ Messaging Apply now See more open positions at Bosch

Synopsis: We are seeking a highly skilled and motivated Senior Engineer – Data & AI to join our dynamic team. In this role, you will serve as a key technical expert and hands-on contributor, helping design, develop, and scale AI solutions that address complex business challenges. While not a people manager, you will influence projects through your expertise, technical decision-making, and peer mentorship. You will work closely with cross-functional teams to implement cutting-edge AI/ML technologies—particularly in Generative AI, NLP, and document understanding—ensuring the successful execution of high-impact initiatives. If you thrive in an environment that values autonomy, innovation, and ownership, and you enjoy pushing the boundaries of what's possible in AI, this role is for you. Who You Are: • A strong technical expert in AI/ML who loves solving real-world problems using technology and data. • Comfortable working across the stack—from training and fine-tuning models to deploying them in production. • Experienced with tools and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, spaCy, Tesseract, LayoutLM, Donut, PaddleOCR, OpenCV, and others in the AI and document processing space. • Passionate about Generative AI, NLP, and document AI technologies, and well-versed with the latest research and applications. • Able to collaborate cross-functionally with product, engineering, and R&D teams to deliver scalable, production-ready solutions. • Skilled in communicating technical concepts to peers and non-technical stakeholders alike. • Comfortable working in a fast-paced environment with an entrepreneurial spirit, contributing to initiatives end to end. • Proactively mentors juniors, supports peer code reviews, and contributes to shared learning in the team. What You Will Do: ● AI Vision and Roadmap: Align with the AI vision, contributing to and executing the roadmap for AI projects across the company. You will play an integral role in setting strategic AI goals while acting as an IC driving execution. ● AI Frameworks & Methodologies: Contribute to the development of best practices and frameworks for AI model development, deployment, and maintenance. Champion the use of advanced AI/ML tools and platforms such as TensorFlow, PyTorch, Hugging Face, spaCy, and Transformers for NLP. ● Innovation & Research: Stay at the forefront of AI/ML advancements, incorporating new technologies, including Generative AI and Document Processing tools like LayoutLM and Donut. Contribute innovative solutions to AI challenges and integrate new techniques. ● AI Governance & Ethics: Ensure ethical AI practices and help develop policies and procedures that govern the responsible application of AI. Focus on fairness, bias, privacy, and transparency while ensuring compliance with legal, regulatory, and organizational standards. ● Team Development: While working as an IC, you will also take on a mentorship role, supporting junior AI team members, sharing your expertise, and fostering a collaborative culture of innovation and excellence. Guide your peers through complex technical challenges. ● AI Enablement: Collaborate with R&D, engineering, and business development teams to turn AI insights into actionable solutions, driving the development of AI-powered products and services. ● Stakeholder Communication: As a Manager, Data & AI, you will communicate AI strategies and developments to functional heads and executive leadership. You will help ensure alignment and understanding across all levels of the organization, bridging the gap between technical and non-technical stakeholders.

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: App Automation Eng Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. What are we looking for - Expertise in RPA tools like Automation Anywhere, UiPath, or Blue Prism.- Advanced knowledge of AI, machine learning, and OCR technologies.- Strong coding skills in Python, C#, or similar languages for custom integrations and enhancements.- Proficiency in integrating OCR solutions like ABBYY, Tesseract, Google Vision, or AWS Textract with RPA platforms.- Ability to design scalable automation architectures that use AI for cognitive tasks.-Stakeholder management-Good communicationFlexible Roles and Responsibilities: - Lead the design and implementation of AI-powered RPA solutions.- Oversee the integration of OCR technology to handle unstructured data within RPA workflows.- Provide technical leadership and mentoring to junior developers.- Conduct performance tuning and ensure that the AI/OCR systems are scalable, reliable, and performant.- Work closely with business stakeholders to identify automation opportunities.- Conduct advanced troubleshooting and resolve complex automation issues. Qualification Any Graduation

Director of Engineering Location : Navi Mumbai-Ghansoli. Department : Engineering Company : Jio Tesseract Employment Type : Full-time About Jio Tesseract : Jio Tesseract is at the forefront of immersive technology, shaping the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) in India. We build cutting-edge solutions that combine hardware and software to revolutionize how people interact with the digital and physical worlds. If you're passionate about engineering excellence, innovation, and leading high-performing teams, we want you on our journey. Role Overview : As the Associate Director of Engineering, you will lead a talented team of backend developers and drive the design, development, and deployment of scalable and secure backend systems. This is a hands-on leadership role requiring a blend of technical expertise, strategic thinking, and people management. Key Responsibilities : - Lead, mentor, and grow a high-performing team of backend engineers. - Design, develop, test, and maintain robust backend applications using Python (Django, FastAPI, or Flask). - Architect and implement scalable microservices and RESTful APIs integrated with front-end and hardware components. - Ensure system scalability, performance optimization, and high availability across distributed systems. - Collaborate with cross-functional teams (Frontend, DevOps, QA, Product) to deliver reliable solutions. - Drive best practices in coding standards, testing, CI/CD, and security. - Manage technical debt and guide architectural decisions for long-term success. - Own the backend infrastructure including containerization (Docker, Kubernetes) and cloud deployment (AWS/Azure/GCP). - Implement secure authentication and authorization mechanisms (OAuth2.0, JWT, etc.). - Oversee the maintenance and evolution of database systems (PostgreSQL, MySQL, MongoDB, Redis). - Troubleshoot, debug, and resolve complex production issues. Required Skills & Qualifications : - 12+ years of backend development experience using Python and related frameworks (Django, Flask, FastAPI). - Proven leadership experience managing engineering teams and project delivery. - Strong expertise in building and scaling RESTful APIs and microservices. - Deep understanding of relational and NoSQL databases, including ORM tools. - Experience with cloud platforms (AWS, Azure, or GCP) and container orchestration using Kubernetes. - Familiarity with message queues/brokers such as RabbitMQ or Kafka. - Solid understanding of security best practices, authentication, and data protection. - Proficient with Git, CI/CD pipelines, and Agile/Scrum methodologies. - Strong problem-solving and debugging skills. Preferred/Good to Have : - Experience with GraphQL APIs. - Knowledge of Celery for asynchronous task processing. - Exposure to AI/ML frameworks or pipelines. - Background in AR/VR or spatial computing domains. What We Offer : - Competitive salary and performance-based incentives. - Comprehensive health and wellness benefits. - Opportunity to work on next-gen immersive technologies. - A collaborative, inclusive, and growth-oriented environment.

About the Role: We’re looking for a sharp, grounded, and high-integrity individual to serve as the Executive Assistant to the CEO of Tesseract Esports. This is not a conventional EA role; you’ll be expected to operate as an extension of leadership, managing projects, proposals, timelines, and acting as a critical bridge between internal teams and external stakeholders. Key Responsibilities: Track, follow up, and proactively manage all tasks and deliverables for the CEO Build timelines and independently own project execution Create impactful decks and support RFP/proposal submissions Liaise with clients, vendors, freelancers, and internal teams Firefight and resolve issues in real-time with composure Support event planning and on-ground execution when needed Maintain discretion, loyalty, and professionalism at all times What We’re Looking For: 2–3 years of experience in events/media and startups Strong with Microsoft Office, ClickUp, Notion, Slack Excellent communication and interpersonal skills Willingness to work long hours, including nights and weekends Strong emotional intelligence, loyalty, and humility — no ego Nice to Have: Event production knowledge or experience Deck storytelling and creative input on pitch materials

Job description Role: Python Developer Experience: 4 Yrs to 6 Yrs Location: Andheri (Mumbai) Work mode : Hybrid Budget: 7 LPA to 8 LPA Primary Skills : Python Django framework, HTML, CSS, JScript, JavaScript frameworks (Angular/React) PostgreSQL, MySQL Tesseract OCR, Artificial intelligence (AI) Job Role and Responsibilities 1. Experience with Demonstrated capabilities in Python Programming 2. Strong experience in developing reusable code 3. Knowledge on Microservices and development of microservices based backend systems 4. Strong experience & Knowledge on FastApi 5. Strong Knowledge on working with ORM frameworks with Fast API 6. Knowledge on SQL queries and data pre-processing with SQL 7. Highly motivated and expert in development of scalable backend code 8. Good Knowledge & experience in creating unit tests for API & Code 9. Good knowledge on source code management with GIT

GEN AI ENGINEER Location: Bangalore, Hyderabad, Chennai and Hyderabad (Hybrid) Years of Exp: 8 and Above Shift Timings: 4:00 PM to 12:00 AM / Can extend to 1:00 AM • Solutions using LLM • RAG Pipeline • OCR Tools (Azure Doc Intelligence / Tesseract / John Snow Labs) • Image Pre-processing (denoising / enrichment) in OCR pipeline • Frameworks / Platforms - Langchain / LlamaIndex / CrewAI / Semantic Kernel • Systematic LLM Model Evaluation • Prompt Engineering • Agentic Frameworks / MCP / A2A / Function Calling • Vector search, embedding models, and semantic retrieval • Python Programming • Azure AI Services (Open AI, AI Search, Azure AI Hub, Azure ML Studio) • Copilot Studio

Role Overview As a Python Developer specializing in OCR and data extraction, you will drive endtoend delivery of scalable documentintelligence solutions. Youll partner with crossfunctional teams to architect and ship robust pipelines that transform unstructured files into actionable data, leveraging cuttingedge OCR libraries and generative AI Responsibilities : Architect & Develop : Design and implement Python applications focused on OCR driven data extraction workflows. OCR Integration : Integrate and optimize Tesseract, EasyOCR, PaddleOCR and cloudbased services (AWS Textract, Google Vision). PreProcessing & Enhancement : Apply OpenCV, PIL and NumPy techniques to clean, segment, and enhance images for superior recognition accuracy. Data Structuring : Build custom parsing logic to normalize, validate and store extracted information in downstream systems. LLM & Gen AI Enablement : Incorporate Large Language Models (e.g., GPTbased, LayoutLM, Donut) to enrich document understanding, classification, and entity extraction. Collaboration & Delivery : Liaise with backend, data science, and DevOps teams to ensure seamless CI/CD integration, monitoring, and support. Quality & Documentation : Write modular, test driven code; maintain clear documentation; and conduct peer reviews to uphold code quality and compliance Have Skills : Expert proficiency in Python and core automation/data processing libraries (NumPy, Pandas). Handson experience with OCR libraries (Tesseract, EasyOCR, PaddleOCR) and handling PDF/image parsing. Solid understanding of RESTful API integration and largescale document workflows. Proficient in image preprocessing using OpenCV and PIL to maximize OCR accuracy. Strong analytical, debugging, and problem solving capabilities in production to Have : Proven track record deploying LLM driven document intelligence solutions (e.g., GPT, LLaMA) or Gen AI frameworks. Worked with Langchain and Vector DB Familiarity with AI document models such as LayoutLM, Donut, TrOCR for advanced layout parsing. Exposure to NLP tasks : document classification, entity recognition, semantic search. Experience with containerization (Docker), version control (Git), and cloud platforms (AWS/GCP/Azure). (ref:hirist.tech)

Job Title : Senior Machine Learning Developer Location : Pan India Job Type : Full-Time Experience Level : 5- 10 Years Job Description We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering. Desire Skills RAG-Based Domain-Specific Q&A System : Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). Agentic AI Workflow Assistant (Multi-Step Planner) : Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. Multimodal RAG for Image + Text Search : Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. Document Parsing Using OCR + Transformers : Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut Responsibilities Machine Learning Development : Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deep Learning Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. Large Language Models Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. Software Development Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. Data Handling Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. Research And Innovation Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. Mentorship Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning Environment (ref:hirist.tech)

🚀 WE ARE HIRING !!! (CGPA of 7.0 or above a MUST) 📍 Location: Hyderabad (on-site only). 🎓 Eligibility: Freshers (or) Experienced folks meeting CGPA criteria CAN apply. 💸 Stipend: Up to ₹50,000/month for the right candidates. 📅 Duration: 3 months (Immediate joiners only). 📜 Post-internship: Experience certificate + first preference for full-time openings. Interested candidates are requested to apply directly to the Job posting. We will respond at the earliest. ⸻ Rybas.AI Pvt. Ltd. is an Enterprise AI Company developing Hadrian, a Precision-Engineered Platform for Cost Intelligence across Complex IT Environments. Hadrian integrates Infrastructure Metrics, SaaS Spend, Cloud Utilization, and Procurement Data into a Unified Analytical Framework—enabling Organizations to Monitor, Forecast, and Optimize their Technology Expenditure. The Platform applies Machine Learning for Forecasting, Anomaly Detection, and Model Explainability, while emphasizing System Architecture, Data Integration, and Strategic Decision Support. Built as a Modular, API-Oriented System, Hadrian supports Automated Workflows, Spend Analysis, Document Intelligence, Budget Simulations, and Role-Based Access Control (RBAC) across Finance and Engineering Functions We invite Applications from Technically Strong Individuals capable of Learning Quickly, Thinking Systematically, and Contributing to Structured Product Engineering. This Role is suited for Early-Career Candidates seeking Exposure to Real-World System Design, Data Infrastructure, and Applied AI within an Enterprise Context. ⸻ 🔧 Preferred Technical Exposure Candidates familiar with the following tools, technologies, or protocols will be at an advantage. No single candidate is expected to know all of them. 🧩 Programming & Orchestration: FastAPI, Celery, Windmill-Dev 🗄️ Data & Storage: PostgreSQL (JSONB), DuckDB, DBeav er🧠 Machine Learning & Explainability: Scikit-learn, SHAP, LIME, PyTorch, STs, Tesseract, Layout LM📄 Document Intelligence & NLP: OCR, PDF Parsers, Table Extraction, Chroma DB💻 Frontend Development: Next.js, React.js, TailwindCSS, shadcn/ ui📊 Business Intelligence: Apache Superset, Metaba se🐳 Containerization & Orchestration: Docker, Docker Compose, k 3s🌐 Container Networking: Flannel, Cali co🔁 Workflow & Job Queues: Redis, Cele ry📈 Monitoring & Observability: Prometheus, Grafa na📡 Asset Discovery & Network Protocols: SSH, SNMP, Syslog, ICMP, XML/JSON, CLI Automatio n

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 Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Role Outline We are looking for a Document Extraction and Inference Engineer with expertise in traditional machine learning algorithms and rule based NLP techniques. The ideal candidate will have a strong foundation in document processing, structured data extraction, and inference modeling using classical ML approaches. You will work on designing, implementing, and optimizing document extraction pipelines for various applications, ensuring accuracy and efficiency. Role & Responsibilities: Develop and implement document parsing and structured data extraction techniques. Utilize OCR (Optical Character Recognition) and pattern-based NLP for text extraction. Optimize rulebased and statistical models for document classification and entity recognition. Design feature engineering strategies for improving inference accuracy. Work with structured and semistructured data (PDFs, scanned documents, XML, JSON). Implement knowledgebased inference models for decisionmaking applications. Collaborate with data engineers to build scalable document processing pipelines. Conduct error analysis and improve extraction accuracy through iterative refinements. Stay updated with advancements in traditional NLP and document processing techniques. Required Qualifications: Bachelors or Masters degree in Computer Science, AI, Machine Learning, or related field. 3+ years of experience in document extraction and inference modeling. Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract). Expertise in OCR technologies, regular expressions, and rule-based NLP. Experience with SQL and database management for handling extracted data. Knowledge of probabilistic models, optimization techniques, and statistical inference. Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognize Preferred Qualifications: Experience with graphbased document analysis and knowledge graphs. Knowledge of time series analysis for document-based forecasting. Exposure to reinforcement learning for adaptive document processing. Understanding of the credit / loan processing domain

InnoVites , who are we? InnoVites is one of the world’s leading providers of software solutions for Cable and Wire manufacturing and distribution Industry, transforming cable factories into the smart factories. It feels great to build and deliver software solutions that exactly address customer needs. And that’s exactly what InnoVites is about. We have a laser sharp focus on our target market: the wire and cable industry. With our deep understanding of this vertical we love building software that creates high value for our customers. It has resulted in continuous growth of the company, while we are serving our customers located in over 20 countries worldwide. As our customers benefit from the global energy transition, the future at InnoVites is electrifying! As a team we cherish craftmanship and celebrate team results. Every day we seek opportunities to learn from each other and grow. Together, we can make a difference – and you can too. Dream it. Build it. Do it here. Job Title: Generative AI (GenAI) Solutions Engineer Location: Chennai Type: Full-time / Internship Department: Design / Product About the Role We are looking for a skilled and proactive Generative AI Solutions Engineer with 1–2 years of relevant background in building intelligent applications using Large Language Models (LLMs) , RAG architectures , semantic search , and vector databases . The ideal candidate should also have hands-on experience in AI-powered chatbot development and integration. Strong proficiency in Python , Node.js , and PostgreSQL with PGVector is required. This role is suited for someone passionate about building real-world applications powered by cutting-edge Generative AI technologies. . Key Responsibilities Design and develop intelligent chatbots using LLMs and vector-based retrieval systems. Implement RAG pipelines for combining document retrieval with generative model responses. Build semantic search systems using PGVector and high-dimensional embeddings. Develop solutions to automatically read and interpret emails , extract key content, and trigger workflows. Create tools to scan and understand documents (PDFs, Word files, etc.) using OCR, embeddings, and LLMs. Integrate AI models with backend systems and APIs using Python and Node.js. Optimize performance of AI pipelines and ensure high-quality, context-aware outputs. Document workflows, prompt strategies, and AI integration best practices Qualifications Postgraduate degree in Computer Science, AI/ML, Data Science, or related fields. 1–2 years of experience working with LLMs , semantic embeddings , and RAG architectures . Experience with PGVector and PostgreSQL for vector-based search. Proficiency in Python and Node.js for application and API development. Experience developing chatbots , email automation , or document intelligence tools . Familiarity with OCR tools , document parsing libraries , and AI frameworks like Hugging Face Transformers , LangChain , or FAISS . Bonus Points (Good to Have): Hands-on with email classification , intent detection , or outlook/Gmail API integration Experience using tools like Tesseract OCR , pdfplumber , LangChain agents , or vector indexers Deployment experience on cloud platforms (AWS/GCP/Azure) Exposure to MLOps , containerization (Docker), or conversational UX design Interest or background in enterprise knowledge search , RPA , or process automation Why Join Us? Gain real-world experience working on enterprise-grade applications. Work with a highly experienced team and receive mentorship . Encouragement to self-learn, explore, and innovate in a supportive environment. Opportunity to transition into a full-time role after a successful internship. Flexible and collaborative work culture with room for growth and creativity.

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Job Summary: We are seeking an experienced AI Developer with expertise in Python , Generative AI (GenAI) with Retrieval-Augmented Generation (RAG) , Robotic Process Automation (RPA) , and advanced document intelligence using OCR and LLMs . This role involves designing AI-powered solutions that extract meaningful insights from complex documents—both digital and scanned—using tools like Tesseract, Hugging Face Transformers or similar. You will work on end-to-end automation and AI integration for intelligent document processing, enabling smarter decisions and workflow efficiencies across the organization. Key Responsibilities: Build and deploy GenAI solutions with RAG pipelines to enable intelligent querying and summarization over document repositories. Extract and structure data from complex documents (PDFs, Images etc) using a combination of OCR engines (e.g., Tesseract) and AI-based document and vision language models(DiNO, SmolVLM etc). Integrate OCR+LLM pipelines into business applications to process scanned forms, contracts, and other unstructured documents. Automate repetitive, document-intensive tasks using RPA tools (e.g., Blue Prism etc). Design and maintain Python-based workflows to orchestrate document ingestion, extraction, and LLM-powered processing. Work cross-functionally with product, data, and operations teams to deliver scalable, AI-enhanced document automation solutions. Ensure model performance, compliance, and audit readiness for all document-handling workflows. Required Qualifications: 4+ years of hands-on programming experience with Python. Strong experience building RAG-based GenAI applications using tools like LangChain, LlamaIndex, or equivalent. Proficient in OCR tools (e.g., Tesseract, PaddleOCR) and transformer-based document models. Experience working with LLMs for document understanding, summarization, and Q&A. Proficiency in RPA development using platforms like Blueprism etc. Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings for semantic retrieval. Strong understanding of REST APIs, JSON, and data integration workflows. Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Job Summary: We are seeking an experienced AI Developer with expertise in Python , Generative AI (GenAI) with Retrieval-Augmented Generation (RAG) , Robotic Process Automation (RPA) , and advanced document intelligence using OCR and LLMs . This role involves designing AI-powered solutions that extract meaningful insights from complex documents—both digital and scanned—using tools like Tesseract, Hugging Face Transformers or similar. You will work on end-to-end automation and AI integration for intelligent document processing, enabling smarter decisions and workflow efficiencies across the organization. Key Responsibilities: Build and deploy GenAI solutions with RAG pipelines to enable intelligent querying and summarization over document repositories. Extract and structure data from complex documents (PDFs, Images etc) using a combination of OCR engines (e.g., Tesseract) and AI-based document and vision language models(DiNO, SmolVLM etc). Integrate OCR+LLM pipelines into business applications to process scanned forms, contracts, and other unstructured documents. Automate repetitive, document-intensive tasks using RPA tools (e.g., Blue Prism etc). Design and maintain Python-based workflows to orchestrate document ingestion, extraction, and LLM-powered processing. Work cross-functionally with product, data, and operations teams to deliver scalable, AI-enhanced document automation solutions. Ensure model performance, compliance, and audit readiness for all document-handling workflows. Required Qualifications: 4+ years of hands-on programming experience with Python. Strong experience building RAG-based GenAI applications using tools like LangChain, LlamaIndex, or equivalent. Proficient in OCR tools (e.g., Tesseract, PaddleOCR) and transformer-based document models. Experience working with LLMs for document understanding, summarization, and Q&A. Proficiency in RPA development using platforms like Blueprism etc. Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings for semantic retrieval. Strong understanding of REST APIs, JSON, and data integration workflows. Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Please note that the location is open for PAN India, preferred locations are Kolkata, Chennai, Mumbai and Hyderabad. The Opportunity Capgemini is seeking a visionary and strategic Technical Head of Procure to Pay (P2P) Asset to lead in deployment of the asset for multiple clients. This role will be responsible for successfully delivering and deploying the AP Automation asset and constantly resolving all the technical issues in the product, enhancing its functional features for catering to more clients and resolving individual customer needs. This role needs to identify the updated technologies and transform the assets to meet the current market demand efficiently. His endeavour should be to understand and adopt the current technology stack of this asset parallelly looking to transform the asset to embrace modern technology components. Our Ideal Candidate: Technical Leadership: Strong experience in Azure Cloud Services (Compute, Storage, Networking, Security, PaaS, Serverless, etc.). Expertise in Generative AI and integrating AI models into enterprise applications. Experience in OCR technologies (Azure Cognitive Services, Tesseract, Abbyy, etc.) for document processing. Strong knowledge of SAP and Oracle integration using APIs, BAPIs, IDocs, RFCs, and middleware solutions. Experience with Azure Logic Apps, Azure API Management, Azure Functions, and event-driven architectures. Architectural Leadership: Architect and Design end-to-end solutions on Microsoft Azure aligning with business needs and best practices. Integrate Generative AI (GenAI) models into the application for intelligent document processing, decision automation, and enhanced user experience. Implement OCR-based document processing workflows for automated data extraction and processing. Design and manage seamless integration with SAP and Oracle systems using Azure-native services like Azure Logic Apps, Azure API Management, and Azure Functions. Provide technical leadership and work closely with developers, DevOps engineers, and business stakeholders. Optimize solution performance, cost efficiency, and ensure compliance with industry standards and regulations. Stay updated with emerging technologies and recommend improvements to enhance system performance and functionality. Team and Stakeholder Management: Lead the technical delivery of an Azure-based application ensuring adherence to best practices and design principles. Conduct Product vs. Client Expectations – Gap Analysis to identify discrepancies between the developed solution and client needs, ensuring continuous alignment and feature enhancements. Ability to translate business requirements into clear, actionable technical requirements. Collaborate closely with the development team to address and resolve technical challenges related to the product. Ensure seamless communication between business stakeholders and technical teams to drive effective solutions. Provide technical guidance to developers and collaborate with DevOps engineers and business stakeholders to align the technology with business goals. Performance & Optimization: Establish KPIs and ROI metrics for P2P assets. Continuously monitor, analyze, and optimize P2P asset performance. Ensure robust change management and user adoption strategies. Reduce the deployment cycle of the P2P asset delivery. Reduce number of errors. Embrace Agentic AI transformation roadmap. Required Skills & Qualifications: 15+ years of IT experience, with at least 3 years in a Technical Lead role. Strong expertise in Azure Cloud Services (Compute, Storage, Networking, Security, PaaS, Serverless, etc.). Expertise in Generative AI (Azure OpenAI, GPT, LLMs) and integrating AI models into enterprise applications. Proficiency in OCR technologies (Azure Cognitive Services, Tesseract, Abbyy, etc.) for document processing. Experience in SAP and Oracle integration using APIs, BAPIs, IDocs, RFCs, and middleware solutions. Strong knowledge of Azure Logic Apps, Azure API Management, Azure Functions, and event-driven architectures. Preferred Qualifications: Strong problem-solving skills, ability to mentor developers, and drive technical decision-making. Excellent leadership, communication, and stakeholder management skills.