1137 Ocr Jobs - Page 24

: Job TitleJava React Full Stack Developer Corporate TitleAssociate LocationPune, India Role Description Shared Application & Services defines the standardized use and further development of shared platforms and applications. As a result, SAS offers reusable, scalable and cost-efficient solutions for your E2E business processes. A SAS OCR Associate Engineer is responsible for developing, enhancing, modifying and/or maintaining applications and is expected to work closely with business partners in defining requirements for system applications. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your Key Responsibilities Ability to architect/design solution for a given requirement. Design and discuss your own solution for addressing user stories and tasks. Develop and unit-test, Integrate, deploy, maintain and improve software. Perform peer code review. Work within an agile methodology, participating in sprint planning, daily stand-ups, and retrospectives. Apply continuous integration best practices in general (SCM, build automation, unit testing, dependency management) Your skills and experience Bachelors Degree from an accredited college or university with a concentration in Computer Science or equivalent. More than 5 years of relevant work experience. Google Cloud certifications (e.g., Associate Cloud Engineer, Professional Cloud Architect) are a plus. Front-End Development (UI) Design and create the visible components of an application that users interact with.Ensure a seamless user experience by focusing on design aesthetics, responsiveness, and usability. Tech React Back-End Development Work on the server-side components. This involves tasks such as data storage, security, and overall system performance. Tech Java, Python, Redis, Google SDK, Spring Boot, FAST API. Database Management Design, optimize, and manage databases to store and retrieve data efficiently. Tech PostgreSQL Full-Stack Architecture and Design Plan and implement scalable architecture to accommodate growing user bases and increasing data loads. Integration Integrate front-end and back-end components seamlessly to create a cohesive application. Coding and Troubleshooting Write, review, and troubleshoot code for both front-end and back-end functionalities. Bug Resolution Identify and resolve software defects to improve overall efficiency. Documentation and Communication Maintain clear and concise documentation for code, APIs, and system architecture. Effective Communication Collaborate with stakeholders, including business analysts, product managers, and other team members. Continuous Learning and Adaptability Keep up with industry trends, new technologies, and best practices. Be flexible and adapt to evolving project requirements and technologies. How well support you . . . .

🚀 AI Research Intern – OCR Projects 📍 Mode: Online/Hybrid 📅 Duration: 6 Months 🎓 Eligibility: Open to college students whose course ends after May 2026 💰 Stipend: Unpaid 🖥️ Technologies: Python We’re looking for passionate and self-driven AI Research Interns to join our team and contribute to cutting-edge OCR (Optical Character Recognition) projects. This internship is ideal for students eager to gain real-world experience in AI, computer vision, and document intelligence. 🔍 What You’ll Do: Work on OCR research problems and real-world datasets Implement and optimize models using Python Collaborate with the team in designing and testing AI pipelines Contribute to research reports and documentation ✅ You Should Have: Good command of Python Interest in AI/ML, Computer Vision, or OCR systems Willingness to learn, experiment, and take initiative Availability for the full 6-month duration (Interns may take time for exams preparations classes and other college activities) 📢 Note: This is a non-paid internship intended for learning and skill development. A certificate of completion will be provided at the end of the term.

Position reports to : State Lead and dotted line reporting to Senior Manager-Founders’ Office. The Master Trainer for the AI for All initiative in Sanand Block will be responsible for leading capacity-building efforts for teachers and ensuring high-quality delivery of the AI curriculum in classrooms. The Master Trainer will lead and facilitate structured teacher training, design contextual learning strategies, and offer ongoing mentoring. Through school visits and virtual sessions. With a strong grounding in AI and STEM concepts and an empathetic approach to adult learning,the Master Trainer will bridge technical content with accessible pedagogy. This includes helping teachers simplify and adapt AI concepts for young learners, managing hands-on classroom tools, and ensuring alignment with the National Education Policy 2020 and National Curriculum Framework 2023. Role overview : Teacher Training and Support Conduct structured training sessions for school teachers on Basic and Advanced AI curriculum modules, including tools like OCR, speech-to-speech translation, object recognition and image generation. Support teachers in lesson planning and classroom delivery, simplifying AI concepts for students with minimal digital exposure. Provide continuous mentorship through school visits, calls and group sessions addressing challenges and offering practical classroom strategies. Evaluate teacher progress through informal assessments and observation, refining training content to meet evolving needs. 2. Curriculum Delivery and Adaptation Ensure AI content is delivered in an engaging, hands-on manner aligned with NEP 2020 and NCF 2023. Design and adapt classroom activities that contextualize AI through real-life examples and local relevance. Support teachers in integrating practical applications of AI into regular subjects to improve student understanding and enthusiasm. 3. Project Coordination and Monitoring Collaborate with the Project Coordinator and Field Officers to ensure smooth curriculum rollout. Participate in planning and logistics for training sessions, Chip Camps, and career awareness events. Maintain detailed school-level records including teacher participation, session feedback and learning outcomes. Conduct regular observation visits to ensure high-quality curriculum delivery and share feedback for program refinement Track teacher performance, session effectiveness, and classroom engagement using defined templates and tools. Contribute to monthly and quarterly reporting by documenting learnings, highlights and implementation challenges. Assist in generating insights for program iteration, scaling and curriculum enhancement. 4. Data Collection and Reporting Track teacher performance, session effectiveness and classroom engagement using defined templates and tools. Contribute to monthly and quarterly reporting by documenting learnings, highlights and implementation challenges. Assist in generating insights for program iteration, scaling, and curriculum enhancement. 5. Stakeholder Engagement Build and sustain relationships with school leaders, teachers and government education officials to ensure teacher participation and program continuity. Represent the training and classroom support aspects of the program in local review meetings and teacher clusters. Provide inputs to the project team on teachers and school readiness, support needs and community-level dynamics. 6. Resource and Content Support Guide effective use of AI toolkits, tablets, and digital materials provided to schools. Support teachers and students in using beginner-friendly, open-source AI tools, troubleshooting issues where needed. Coordinate with the project team to ensure timely delivery and availability of learning materials. The ideal candidate is someone who is: Passionate about education and emerging technologies like AI. Experienced in training and mentoring educators Adaptable to real-world classroom dynamics, especially in low-resource environments. A strong communicator in Gujarati and English Motivated by impact, relationship- building, and long-term teacher development Competencies: 1. AI and STEM Knowledge: Solid understanding of foundational AI tools and their use in education; comfortable working with beginner-friendly, open-source platforms 2. Teacher Training and Mentorship: Ability to break down technical concepts and build teacher confidence, for those with limited digital experience. Skilled in designing and delivering interactive, age-appropriate training sessions aligned with curriculum objectives. 3. Communication Skills: Strong verbal and written communication in Gujarati and English, with the ability to engage with teachers effectively,students, school leaders, and internal teams. 4.Pedagogical Alignment: Understanding of classroom dynamics and ability to adjust for diverse student needs. 5. Problem Solving: Responsive to classroom-level challenges and training needs, offering creative,practical solutions tailored to low resource settings. Process Competency : 1. Monitoring and Evaluation: Skilled at tracking teacher performance and student engagement during school visits and trainings, and feeding this data into program decisions. 2.Training support and follow up: Ensures continuity of learning by offering consistent follow-up support and adjusting mentoring plans as needed. 3.Stakeholder Coordination: Effectively communicates with school staff,education officials, and internal teams to ensure smooth implementation. 4.Resource Facilitation: Guides and supports appropriate use of AI toolkits and digital resources; addresses common challenges Personal Attributes: 1. Empathetic and Approachable: Builds trust and rapport with teachers; sensitive to diverse levels of digital familiarity and classroom confidence. 2. Adaptable : Able to modify training techniques and resources based on school conditions and teacher needs. 3.Passionate about Education and Technology: Committed to improving AI and STEM access in public schools and enabling practical learning. 4.Proactive Problem-Solver: Takes initiative to address gaps in delivery or training and offers grounded, practical solutions. 5.Well-Organized: Balances multiple responsibilities like training, mentoring and reporting with clear documentation and structured planning.

-Monthly audit to compare physical stock with software inventory and reconcile with the accounts department -Monthly OCR for Inventory -Procure materials for production, stationery, etc., based on requirements and stock availability as determined by the HOD -Check the quality of materials according to the order and ensure they are arranged in the store at the right place -Clear out old inventory using FIFO basis and maintain the lowest inventory level, keeping the store clean and well-organized -Manage fabric inventory @ min. level with aging on quarterly basis -Clear all material bills within 15 days and hand them over to the Account Department -Inventory with their CAP. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Food provided Health insurance Internet reimbursement Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have garment industry experience? Experience: Store in charge: 3 years (Required)

Company Description Diatomic Healthcare is pioneering a new way to enhance health, energy, and skincare through Ox66®️, the world’s first patented oxygen in powder form. This innovative technology releases pure oxygen directly to the body, addressing issues like fatigue, brain fog, aging skin, and weakened immunity. By boosting energy, enhancing focus, and improving skin health, Diatomic Healthcare aims to transform overall wellness. We are working on a powerful AI-based healthtech solution that has the potential to make a real difference in people’s lives — especially in areas of preventive wellness, diagnostics, and digital health support . We’re looking for a developer (freelancer, part-timer, or passionate builder) who can help us bring the first version of this app to life. This is a vision-led, bootstrapped project with long-term potential for growth and deeper collaboration. Required Skills : Flutter app development (Android first) Bubble / FlutterFlow or low-code platforms (nice to have) Familiarity with ChatGPT API or AI tool integration (basic prompts, logic) OCR and PDF/image data extraction (preferred, not mandatory What You’ll Be Helping With: A clean, 5-screen MVP for Android ( followed with iOS) Lightweight and intuitive design Integration with APIs (AI + OCR) Simple backend/database support (Firebase or similar) . Who this is for: Freelancers looking for meaningful work Builders excited about early-stage healthtech Professionals okay with modest pay now, growth later If this excites you (or someone you know), DM me directly for a brief discussion. We will share details with shortlisted candidates under NDA. Let’s build something impactful together. #flutterdeveloper #bubbledeveloper #healthapp #aiintegration #flutterflow #openai #startupjobs #buildinpublic #healthtechindia #diatomic #missiondriven

Work Level : Individual Core : Result Driven Leadership : Decisive Role : AI Automation Executive Industry Type : Printing & Publishing Function : Automation Architect Key Skills : Automation Testing,Technical Support,Packaging Materials,Design,Designing Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner Primary Responsibility: Research and implement AI tools for artwork QC, mockup comparison, and prepress automation. Integrate automation workflows using platforms like n8n, Zapier, Enfocus Switch, or custom scripts. Collaborate with the design, prepress, and production teams to identify automation opportunities. Help develop AI-based systems for OCR validation, print-to-proof checks, and mockup camera verification. Manage databases, file flows, and folder automation across departments. Evaluate and test AI design tools for packaging prototyping and assist in pilot deployments. Prepare documentation and tutorials for adopted tools and workflows. Continuously stay updated on the latest AI/ML trends in creative and print tech industries. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Overview about Ripik.AI: Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others. It is one of world’s very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM. Roles & Responsibilities: We are seeking a highly motivated Automation and Machine Vision Engineer to join our Industrial AI and Automation team. The ideal candidate will have hands-on experience in developing and deploying computer vision solutions for manufacturing, quality control, and robotic inspection. You will be responsible for designing AI-based vision systems using cameras, deep learning models, and edge computing platforms. Develop and deploy machine vision applications using industrial cameras (e.g., Basler, FLIR). Design AI-based inspection systems for detecting defects such as scratches, dents, mislabels, and missing components. Build and train deep learning models using CNN, YOLO, RCNN for object detection, OCR, classification, and segmentation. Integrate vision systems into automation workflows, PLCs, or robotic arms using standard protocols. Work with image acquisition pipelines, camera calibration, lighting setup, and industrial communication standards. Collaborate with software, automation, and mechanical teams to build end-to-end inspection systems. Optimize model performance on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, etc.). Perform on-site testing, calibration, and commissioning at industrial client locations. Required Skills, Competencies & Experience: B.E./B.Tech in Instrumentation, Electronics, Mechatronics, Computer Science, or related field. 2–5 years of relevant experience in machine vision, automation, or AI-based quality control systems. Strong problem-solving skills and ability to work independently in R&D or client-facing roles. Preferred Qualification: Strong knowledge of OpenCV, Python, TensorFlow/PyTorch, and image processing. Experience with YOLO, Faster-RCNN, SSD or other real-time object detection models. Hands-on with industrial camera systems (Basler, Hikvision, Cognex, etc.). Familiarity with edge AI platforms like NVIDIA Jetson Nano/Xavier. Understanding industrial automation systems, SCADA/PLC integration. Experience with machine vision software (e.g., Halcon, LabVIEW Vision, MVTec) is preferred. Familiarity with SCADA, Historian systems, or MES integration. Exposure to virtualization, server-client architecture, or redundant systems. Knowledge of video analytics, CCTV integration, and industrial automation security. Physical Requirements: Ability to travel to project sites and conduct field inspections. Comfortable working in hazardous industrial environments (oil refineries, chemical plants, etc.) What can you expect? Ability to shape the future of manufacturing by leveraging best-in-class AI and software; we are a unique organization with niche skill set that you would also develop while working with us World class work culture, coaching and development Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details) Location – Noida (Work from Office)

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.

Responsibilities: Own data reporting: Monitoring for Financial Ratio Completeness: troubleshooting and investigation into why these ratios are blank or not tying out. Troubleshooting Power BI Issues Triaging Issues with the Data Vendors: Required Candidate profile Advanced (5+ years) Financial Data Analysis Experience Intermediate (3+ years) with Financial Concepts Some (1+ year) SQL Experience

🚀 AI Research Intern – OCR Projects 📍 Mode: Online/Hybrid 📅 Duration: 6 Months 🎓 Eligibility: Open to college students whose course ends after May 2026 💰 Stipend: Unpaid 🖥️ Technologies: Python We’re looking for passionate and self-driven AI Research Interns to join our team and contribute to cutting-edge OCR (Optical Character Recognition) projects. This internship is ideal for students eager to gain real-world experience in AI, computer vision, and document intelligence. 🔍 What You’ll Do: Work on OCR research problems and real-world datasets Implement and optimize models using Python Collaborate with the team in designing and testing AI pipelines Contribute to research reports and documentation ✅ You Should Have: Good command of Python Interest in AI/ML , Computer Vision , or OCR systems Willingness to learn, experiment, and take initiative Availability for the full 6-month duration (Interns may take time for exams preparations classes and other college activities) 📢 Note: This is a non-paid internship intended for learning and skill development. A certificate of completion will be provided at the end of the term.

We are excited to invite you to our weekend Walkin Interview Drive for RPA UiPath Development Role in Chennai on the 5th July 2025 (Saturday) . We are looking for early/Immediate joiners only, please share your profile at Sowmyaj@hexaware.com Location: Chennai Experience: 6 to 10+ years Key Responsibilities: UiPath senior developer will carry an excellent understanding of RPA design & development principles. Should have experience UiPath Document Understanding Should have obtained UiPath Certified Professional Automation Developer Professional Should be able to understand automation opportunities / use cases and should be able to come up with to-be flows. Prepare a Solution Design document, walk through the actual solution along-with Business Analyst to customer so as to obtain sign-off from customer. Perform RPA development following industry best practices. Perform unit testing, system integration testing and fix defects properly with root cause analysis. Provide support to Business during User acceptance testing and post production verification testing. Provide production run book/usage guide to Business post implementation of project to empower users to run RPA Bots on their own. Should have good knowledge of SQL server/Oracle Database with strong skills in writing efficient SQL queries. Should have working knowledge of Excel/VBA macros, .Net, various OCR tools usage etc. Should be willing to learn new skills/features on UiPath platform Good and clear communication skills (both written and verbal) and able to communicate with customer.

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.

About The Role We’re hiring a Senior AI Engineer with expertise in Computer Vision, document understanding, and voice AI to help build the brains behind our AI agents. You’ll work on the two core components of our AI agents – first, the core perception systems that extract structured insights from messy, real-world freight documents—handwritten, scanned, distorted, or multi-page – and second, our AI agents for email and voice communications between freight entities. You will do a lot of prompt engineering, fine-tuning LLMs, building large-scale document classification and entity extraction models, communication understanding, intent classification, and voice AI – your code will be at the heart of automating financial decision-making in freight. You’ll collaborate closely with the backend and product teams to bring AI models to life in production environments and continuously improve performance in the wild. What You’ll Do 👉🏼 Build and fine-tune AI models for document classification, OCR, entity recognition, and layout parsing 👉🏼 Build AI agents for email and phone communications between different freight accounting parties – payer and payee 👉🏼 Develop scalable pipelines for pre-processing, training, inference, and feedback loops 👉🏼 Evaluate and integrate VLMs👉🏼 Annotate, clean, and curate diverse freight documents for robust model performance 👉🏼Build training, evaluation, and test datasets 👉🏼Identify issues identified in production data and fix them asap 👉🏼Iterate on improving existing and new AI stack 👉🏼 Productionize AI models as part of Lighthouz’s intelligent automation stack 👉🏼 Collaborate with backend engineers to integrate model outputs into document, email, and voice workflows 👉🏼 Continuously monitor and improve model performance in real-world conditions What We’re Looking For 👉🏼 3–6 years experience in ML or AI roles, preferably focused on computer vision or document AI 👉🏼 Strong foundation in deep learning frameworks (e.g., PyTorch, TensorFlow) 👉🏼 Experience in fine-tuning VLMs and LLMs 👉🏼 Experience in voice AI 👉🏼 Experience with document/image OCR, visual transformers, and multimodal models 👉🏼 Proficiency in Python and common ML tooling (e.g., Hugging Face, OpenCV, spaCy) 👉🏼 Hands-on experience training and deploying models in production 👉🏼 Strong problem-solving skills and a builder mindset—you move fast and iterate faster 👉🏼 Comfortable working with ambiguity and evolving datasets 👉🏼 Willingness to work long hours Nice to Have 👉🏼 Familiarity with freight, logistics, or fintech workflows 👉🏼 Experience with AWS, Azure, or GCP-based ML infrastructure 👉🏼 Exposure to RAG pipelines, foundation models, or vector search systems 👉🏼 Knowledge of document layout understanding (e.g., Donut, LayoutLM, PubLayNet) 👉🏼 Background in building secure, production-grade ML services What We Offer 💰 Competitive salary 🌎 Fully remote 🛠️ High ownership, zero bureaucracy—help shape our AI stack from day one 🚀 Work on impactful real-world problems that blend AI and automation at scale Skills: communication understanding,node.js,rest apis,fine-tuning llms,voice ai,large-scale document classification,hugging face,spacy,nosql,kubernetes,document understanding,docker,postgresql,aws,ml tooling,production model deployment,sql,opencv,api,entity extraction,frontend javascript tech,intent classification,microservices,backend development,prompt engineering,deep learning frameworks,flask,ai/ml workflows,python,computer vision,ocr,event-driven architectures,mongodb

About The Role We’re hiring a Senior AI Engineer with expertise in Computer Vision, document understanding, and voice AI to help build the brains behind our AI agents. You’ll work on the two core components of our AI agents – first, the core perception systems that extract structured insights from messy, real-world freight documents—handwritten, scanned, distorted, or multi-page – and second, our AI agents for email and voice communications between freight entities. You will do a lot of prompt engineering, fine-tuning LLMs, building large-scale document classification and entity extraction models, communication understanding, intent classification, and voice AI – your code will be at the heart of automating financial decision-making in freight. You’ll collaborate closely with the backend and product teams to bring AI models to life in production environments and continuously improve performance in the wild. What You’ll Do 👉🏼 Build and fine-tune AI models for document classification, OCR, entity recognition, and layout parsing 👉🏼 Build AI agents for email and phone communications between different freight accounting parties – payer and payee 👉🏼 Develop scalable pipelines for pre-processing, training, inference, and feedback loops 👉🏼 Evaluate and integrate VLMs👉🏼 Annotate, clean, and curate diverse freight documents for robust model performance 👉🏼Build training, evaluation, and test datasets 👉🏼Identify issues identified in production data and fix them asap 👉🏼Iterate on improving existing and new AI stack 👉🏼 Productionize AI models as part of Lighthouz’s intelligent automation stack 👉🏼 Collaborate with backend engineers to integrate model outputs into document, email, and voice workflows 👉🏼 Continuously monitor and improve model performance in real-world conditions What We’re Looking For 👉🏼 3–6 years experience in ML or AI roles, preferably focused on computer vision or document AI 👉🏼 Strong foundation in deep learning frameworks (e.g., PyTorch, TensorFlow) 👉🏼 Experience in fine-tuning VLMs and LLMs 👉🏼 Experience in voice AI 👉🏼 Experience with document/image OCR, visual transformers, and multimodal models 👉🏼 Proficiency in Python and common ML tooling (e.g., Hugging Face, OpenCV, spaCy) 👉🏼 Hands-on experience training and deploying models in production 👉🏼 Strong problem-solving skills and a builder mindset—you move fast and iterate faster 👉🏼 Comfortable working with ambiguity and evolving datasets 👉🏼 Willingness to work long hours Nice to Have 👉🏼 Familiarity with freight, logistics, or fintech workflows 👉🏼 Experience with AWS, Azure, or GCP-based ML infrastructure 👉🏼 Exposure to RAG pipelines, foundation models, or vector search systems 👉🏼 Knowledge of document layout understanding (e.g., Donut, LayoutLM, PubLayNet) 👉🏼 Background in building secure, production-grade ML services What We Offer 💰 Competitive salary 🌎 Fully remote 🛠️ High ownership, zero bureaucracy—help shape our AI stack from day one 🚀 Work on impactful real-world problems that blend AI and automation at scale Skills: node.js,rest apis,large-scale document classification,nosql,ml tooling,postgresql,production model deployment,sql,opencv,frontend javascript tech,intent classification,prompt engineering,deep learning frameworks,python,deep learning frameworks (pytorch, tensorflow),computer vision,event-driven architectures,communication understanding,fine-tuning llms,voice ai,hugging face,spacy,kubernetes,document understanding,docker,aws,api,entity extraction,microservices,backend development,multimodal models,flask,ai/ml workflows,ocr,document classification,mongodb

Role: Non‑Life Insurance Business Analyst (Retail & Commercial) Experience: 6+ years in P&C insurance (retail & commercial) Employment Type: Full‑time Location: Pune Responsibilities Domain & Commercial Product Expertise Map and optimize non‑life processes (underwriting, issuance, claims, endorsements, renewals). Configure commercial lines (SME, fleet, property) and retail products (motor, home, travel). Implement embedded insurance across e‑commerce, mobility, and broker networks. Embedded & Digital Distribution Design embedded insurance workflows for banks, fintech, telematics, and mobility platforms. Create customer-facing quoting and comparison flows for digital channels. Configuration Configure product lifecycle using low/no-code tools: product library, rules engine, API modules. Leverage InsureMO’s P&C microservices and APIs for policy, claims, telematics integration. AI-driven Automation & Innovation Integrate AI/ML (OCR, NLP) for document ingestion (loss runs, schedules, claims notes). Deploy automated underwriting and claims triage to enhance speed and accuracy. Quality Assurance & Collaboration Create and execute functional, regression, UAT scenarios for product and AI workflows. Validate system performance in embedded and high-volume environments. Lead Agile ceremonies: sprint planning, backlog grooming, daily stand-ups, demos, retrospectives. Collaborate on product backlogs, prioritize epics and user stories, and manage acceptance criteria. Wireframing, Prototyping & Documentation Develop wireframes, mock-ups, and prototypes with tools such as Balsamiq, Draw.io, Axure, or Figma. Produce comprehensive BRDs/FRDs, functional specs, process flows, and training materials. Knowledge Transfer & Enablement Conduct workshops and prepare user/admin guides to ensure smooth adoption and operational readiness. Qualifications 6+ years in non‑life insurance (retail & commercial). 2+ years implementing insurance middleware (InsureMO or equivalent). Proficient in embedded insurance and digital distribution strategies. Demonstrated experience using AI tools (OCR, NLP, ML models) in insurance workflows. Strong knowledge of Agile methodology with hands-on participation and backlog management. Certified BA credentials (e.g., CBAP, CCBA, ECBA, Agile certification) required. Skilled in wireframing, mock-ups, and prototyping using standard BA/UI tools. Excellent analytical, technical, and communication skill

Experience: 6+ years in life insurance domain (Individual & Group) Employment Type: Full‑time Location: Pune Responsibilities Business Domain & Embedded/Bancassurance Expertise Master the full life insurance value chain: new business, underwriting, admin, and claims. Drive insurance embedding across bank and affinity ecosystems (bancassurance), enabling in‑app, in‑branch and API-based distribution Translate business needs into product capabilities and technical specs. Product Design & Development Collaborate on life product structures (term, ULIPs, UL, VUL, annuity etc.), integration with distribution channels and embedding scenarios. Produce functional specs, user stories, acceptance criteria, and test cases with modular design and configurability. InsureMO Platform Strong understanding of InsureMO platform capabilities/features and support Product team in aligning product specifications with InsureMO capabilities Configure the full product lifecycle—library, APIs, backend workflows Model multi-channel distribution (web, mobile, bancassurance, MGAs) via InsureMO’s API‑first microservices. AI-driven Automation & Innovation Lead integration of AI/ML capabilities for enhanced underwriting, claims, fraud detection, and customer engagement. Pilot intelligent automation pipelines (OCR, text analytics) to reduce manual processing and boost decision accuracy. Quality Assurance & Collaboration Develop test scenarios (functional, regression, UAT) for both product and AI flows. Ensure high-quality deliveries with stakeholder‑driven acceptance. Lead Agile ceremonies: sprint planning, backlog grooming, daily stand-ups, demos, retrospectives. Collaborate on product backlogs, prioritize epics and user stories, and manage acceptance criteria. Wireframing, Prototyping & Documentation Develop wireframes, mock-ups, and prototypes with tools such as Balsamiq, Draw.io, Axure, or Figma. Produce comprehensive BRDs/FRDs, functional specs, process flows, and training materials. Knowledge Transfer & Documentation Document product configuration, AI models, usage flows, and embedded channel specifics. Provide training for business and technical teams; ensure knowledge continuity. Qualifications 6+ years in life/annuity insurance—product design, underwriting, policy admin. 2+ years of InsureMO or similar insurance middleware implementation. Proven experience in embedded/bancassurance distribution strategy. Demonstrated ability in AI/ML integration in insurance (underwriting, claims, document processing). Strong understanding of full insurance lifecycle and API/microservices architecture. Strong knowledge of Agile methodology with hands-on participation and backlog management. Certified BA credentials (e.g., CBAP, CCBA, ECBA, Agile certification) required. Skilled in wireframing, mock-ups, and prototyping using standard BA/UI tools. Excellent stakeholder communication and analytical skills.

Job Title: eBusiness Analyst Experience: 5+years Requirement: The eBusiness analyst is an investigative, proactive and supportive team member working in the either the eBusiness Customer or eBusiness Supplier Teams. The eBusiness analyst is responsible for investigating and interpreting data, developing insights, and proposing actionable solutions prior to execution. The role is accountable for proactively identifying issues and their root cause and developing solutions to address these. The eBusiness analyst can work with either digitally integrated customers via EDI, Punchout or Optical Character Recognition (OCR) or digitally integrated suppliers via EDI. Responsibilities : Planning and Optimisation Analyzing incoming EDI, Punchout or OCR issues, investigating the technical root cause and working with the respective stakeholders through to resolution on a timely and accurate manner Automation of manual processes in collaboration with stakeholders internally and externally (atomization through technical support systems knowledge) Seeking opportunities to improve processes or create efficiencies to support existing integrated customers through any changes (i.e., ERP changes, security protocol updates etc.) Work with the eBusiness Project Managers, Sales, Customer Care, Category teams as appropriate to drive successful outcomes. Integrations Gain an understanding of Blackwoods customers and suppliers, to recognise what type of integrations will be valuable for both Blackwoods and its customers and suppliers. Support EDI, Punchout or OCR integrations with Blackwoods, B2Be and suppliers with the various documents we offer. Facilitate EDI, Punchout or OCR testing between Blackwoods and their customers to ensure minimal impact when the supplier becomes EDI live in our production environment. Investigation of root cause EDI exception issues, working with the respective stakeholders to resolve these in a timely manner. Stakeholder engagement Establish strong and respectful relationships with Key internal and external Stake holders. This ranges from our Technical (middleware team), Purchasing and Warehousing teams to our external suppliers’ business and Technical teams. Create strong relationships within the eBusiness team and more broadly with the Digital team across Blackwoods. Process / reporting improvements and automation Continuous improvement of current reporting in Power BI and driving touchless reporting processes Regular review and development of business processes in Promapp Ensure all requirements changes are effectively communicated to all stakeholders and implemented into all specification documents where necessary. Automation of any manual processes in collaboration with various internal teams (BI, Data and Analytics etc.) Safety Participates in the safety agenda by ensuring self and team understand, adhere to, and meet their HSE Responsibilities Ensures 100% compliance to Lifesaving rules and reports potential breaches immediately for corrective action. Participates in HSW training compliance requirements and ensures completion of iLearn HSW training modules and participation in toolbox talks. Experience and Skills Required: 3–7 years of experience in supplier integration/ERP projects with UAT testing exposure. Hands-on experience with ARIBA/ SAP/ COUPA cXML integrations, and Punchout setup. Proficiency in Excel (Intermediate to Advanced) – must confidently perform VLOOKUPs and Pivot Tables . Strong working knowledge of Outlook. Demonstrable stakeholder management skills, with the ability to facilitate meetings across different levels, from peers to upper management. Strong communication skills (email, calls, and meetings) when engaging with key stakeholders. Excellent organizational skills to manage multiple customers and projects simultaneously. Experience working with customers and cross-functional teams. Willingness to be hands-on and actively participate in execution activities. Ability to work in a fast-paced, agile environment while maintaining accuracy and attention to detail. Strong writing skills for documentation and reporting. Ability to contribute to a culture of creativity, continuous improvement, and innovation. Experience managing EDI, OCR, CRM, or ERP integration projects within tight deadlines. UAT testing experience is preferred. Personal and professional alignment with WIS values. About Softobiz: Innovation begins with like-minded people aiming to transform the world together. At Softobiz, we invite you to become a part of an organization that has been helping clients transform their business by fusing insights, creativity, and technology. With a team of 150+ technology enthusiasts, we have been trusted by leading enterprises around the globe for over 12+ years. At Softobiz, we foster a culture of equality, learning, collaboration, and creative freedom, empowering our employees to grow and excel in their careers. Our technical craftsmen are pioneers in the latest technologies like AI, machine learning, and product development. Why Should You Join Softobiz? - Work with technical craftsmen who are pioneers in the latest technologies. - Access training sessions and skill-enhancement courses for personal and professional growth. - Be rewarded for exceptional performance and celebrate success through engaging parties. - Experience a culture that embraces diversity and creates an inclusive environment for all employees. Softobiz is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status. For more information about our solutions and organization, visit www.softobiz.com, Follow us on LinkedIn, Twitter , and Facebook for more updates.

Job ID: 39941 | Location: Airoli, Maharashtra, India The job focuses on leading and executing complex automation projects using various smart automation tools and technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI)/ Machine Learning (ML), Natural Language Processing (NLP), and Optical Character Recognition (OCR). The role involves collaborating with solution architects, performing code reviews, ensuring compliance with standards, and optimizing automated processes. It plays a crucial part in providing technical leadership, identifying skill gaps, and recommending innovative automation solutions to meet evolving business needs. This is a 1 year contractual role. Responsibilities Lead and execute complex Smart Automation projects Collaborate with solution architects on scalability and maintainability Perform code reviews, unit testing, and maintain quality standards Ensure compliance with industry standards, regulations, and security protocols Lead project planning, estimation, and execution Identify potential risks associated with automation projects Work closely with cross-functional teams for seamless project execution Identify skill gaps and provide mentorship/coaching to team members Coordinate with various stakeholders (business leaders, analysts, Information Technology teams) Identify and recommend innovative automation solutions, tools, and technologies Requirements At least a Bachelor’s degree in Information Technology/Engineering or a related field 4+ years of hands-on development experience in Smart Automation tools & technologies Expertise in Smart Automation tools & technologies – Robotic Process Automation (RPA), Artificial Intelligence (AI)/ Machine Learning (ML), Natural Language Processing (NLP), and Optical Character Recognition (OCR) Strong programming skills in languages such as Python, Java, or .NET Very good communication and interpersonal abilities Project management certifications will be preferred (e.g., Project Management Professional (PMP), Projects IN Controlled Environments (PRINCE2) Technical skills in Infrastructure, Data Management, Databases, DevOps will be a good addition to have Experience in contributing to knowledge-sharing platforms, presentations, or training sessions is preferred Our Offer Company Culture Be part of an amazing team, who will be there to support you. A forward-looking company, with a culture of innovation and a strong portfolio in sustainable technologies. Ongoing Professional Development Opportunities Inclusive Work Environment Approachable Leadership Long-term growth opportunity Work-Life Balance Speak Up Culture Women's Inclusion Network of Clariant (WIN) Benefits Hybrid Work Model- 3 days in office and 2 days remote Child Day Care facility fully sponsored by Clariant In-house Cafeteria & Subsidized meals 30 Days Annual Paid Leaves Clariant-Sponsored Annual Health Check-Up Centralized Company Transport for Designated Routes (Regular shift) Employee Wellbeing & Assistance Program Group Medical Insurance, Group Personal Accident Insurance and Life Insurance Maternity & Parental leave policies Performance-Based Competitive Annual Bonus Plan Your Contact Adelaide D'Mello adelaide.dmello@clariant.com Clariant is a Swiss-based global specialty chemicals company, which is concentrated and developed in three business units: Care Chemicals, Catalysts and Adsorbents & Additives. Our purpose as a company is reflected in our tagline "Greater chemistry - between people and planet", which considers the principles of customer, innovation and people orientation, as well as a focus on creating solutions to foster sustainability in different industries by offering high-value and high-performance chemical specialties. At Clariant, we believe that diversity, equity and inclusion are essential to our success. We strive to cultivate a workplace where all employees feel welcomed, respected, supported, and valued. Our diverse workforce allows us to tap into a wealth of perspectives, experiences, and capabilities that drive innovation. We are committed to ensuring equal opportunities for professional growth and advancement across all levels of the organization, based on objective criteria and regardless of gender, gender identity, race, ethnicity, religion, protected veteran status ,age, disability, sexual orientation or other aspects of diversity in accordance with the relevant governing laws. By bringing together talented individuals with diverse backgrounds and viewpoints, we gain the agility to meet the evolving needs of our global customers and communities. Join our team to help advance our mission of fostering a culture of belonging where everyone can thrive. Learn more about Clariant Follow us on Facebook, Instagram, LinkedIn, X and YouTube Read more about our commitment for people - download our Employment Standards Brochure

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. ROLE: SAP MM Manager Min 7-11 Years of SAP experience in Implementation Must have implementation experience in S/4 Hana Must have designed and delivered complex S/4 Solutions for MM/Ariba Strong cross module integration knowledge Should have experience in Agile methodology Should have experience in all the phases of a project Deep business process and SAP configuration in the SAP PTP area Plant creation Purchase Requisitions Purchase Order Types/Item Categories/Output Types etc Goods Receipt/Service Receipt Invoice Receipt / 3 Way Match Tolerances RICEF preparation in PTP area Prepare functional specs and interact with developers Material/Service Master data templates/creation process Should understand functionality of all the material master tabs and fields and their importance in driving different functionality PTP integration with Finance GR/IR postings to General Ledger Understanding of Ariba functionality and it’s interaction with SAP Understanding of MDG (material master) functionality and it’s interaction with SAP Understanding of OCR technology (OpenText etc) and how it integrates with SAP EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. ROLE: SAP MM Manager Min 7-11 Years of SAP experience in Implementation Must have implementation experience in S/4 Hana Must have designed and delivered complex S/4 Solutions for MM/Ariba Strong cross module integration knowledge Should have experience in Agile methodology Should have experience in all the phases of a project Deep business process and SAP configuration in the SAP PTP area Plant creation Purchase Requisitions Purchase Order Types/Item Categories/Output Types etc Goods Receipt/Service Receipt Invoice Receipt / 3 Way Match Tolerances RICEF preparation in PTP area Prepare functional specs and interact with developers Material/Service Master data templates/creation process Should understand functionality of all the material master tabs and fields and their importance in driving different functionality PTP integration with Finance GR/IR postings to General Ledger Understanding of Ariba functionality and it’s interaction with SAP Understanding of MDG (material master) functionality and it’s interaction with SAP Understanding of OCR technology (OpenText etc) and how it integrates with SAP EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title: HR Intern Location: New Delhi (On-Site) Duration: 3 to 6 Months (with potential for full-time offer based on performance) Stipend: 10,000-12,000 Company Overview: Surepass Technologies is a leading provider of real-time ID verification APIs, Digital KYC, Document OCR, and related services, enabling enterprises to simplify and speed up the user onboarding process. We work with top companies in the Banking, Finance, Lending, and Insurance sectors, offering powerful, easy-to-integrate APIs known for their reliability and speed. Role Overview: We are looking for a motivated and detail-oriented HR Intern to support our Human Resources team in daily operations. This is an excellent opportunity for someone looking to gain hands-on experience in core HR functions, including recruitment, onboarding, documentation, and employee engagement. Key Responsibilities: Assist with end-to-end recruitment , including job posting, resume screening, and interview scheduling Support in employee onboarding : documentation, induction coordination, and asset handover Help maintain and update employee records and HR databases Assist in attendance tracking and leave management Support the team in offboarding processes : documentation, asset recovery, and exit interviews Coordinate HR engagement activities , events, and celebrations Assist in drafting and communicating HR policies and guidelines Help manage asset allocation tracking and coordination with IT/admin teams Provide general administrative support to the HR team Qualifications: Currently pursuing or recently completed a Bachelor’s degree in Human Resources, Business Administration, or related field Strong interest in HR processes and people management Good verbal and written communication skills Organized, detail-oriented, and proactive Proficient in MS Office (Excel, Word, PowerPoint) What You’ll Gain: Hands-on experience in real-world HR operations Exposure to startup culture and fast-paced tech environment Opportunity to work directly with senior HR professionals Certificate of Internship and potential for full-time placement Interested Candidates can apply here or send their updated resume with cover letter to chanchal.b@surepass.io. Job Type: Internship Contract length: 3-6 months Pay: ₹10,000.00 - ₹12,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Morning shift Work Location: In person

We are looking for a highly skilled Machine Learning Backend Engineer to join a growing, fast-paced team building intelligent automation tools for the healthcare industry. This is a fully remote opportunity focused on leveraging AI and backend engineering to streamline complex workflows and unlock efficiency at scale. If you have strong experience in backend development, ML model integration, and web automation—and you're passionate about solving real-world problems—this role is for you. Responsibilities Design, develop, and maintain backend systems using Python, Django, and RESTful APIs Build and optimize machine learning pipelines for healthcare data processing and automation Develop AI-powered solutions for document processing, OCR, and data extraction from structured and unstructured sources Implement web automation using Selenium/Python to interact with third-party portals and services Collaborate with frontend engineers using React/Vue to deliver full-stack solutions Ensure performance, scalability, and reliability of backend services Deploy and maintain ML models in production environments Work with PostgreSQL, WebSockets, and AWS Lambda for data storage and processing Apply prompt engineering techniques to fine-tune and optimize large language models (LLMs) Participate in Agile ceremonies, conduct code reviews, write tests, and maintain documentation Requirements: 4+ years of full-stack development experience, with a focus on backend engineering Strong proficiency in Python, Django, and React Experience implementing and deploying machine learning models in production Proficiency in NLP, OCR, and working with LLMs (e.g., GPT) Experience with Selenium/Python for web automation Familiarity with EDI healthcare formats (837, 835, 270/271) is a strong plus Solid understanding of PostgreSQL, WebSocket, and AWS Lambda Experience with Docker, LocalStack, and container-based development Strong knowledge of version control using Git Excellent problem-solving, analytical, and communication skills Experience in Agile development environments Self-starter mindset with the ability to work independently in a distributed team

It's fun to work at a company where people truly believe in what they are doing! Job Description: Job Summary We are seeking a Senior Project Analyst with 3+ years of experience in eDiscovery to join our Client Services (CS) team. The Senior Project Analyst will serve as a primary internal process monitor, supporting Project Managers (PMs) and Associate Project Managers (APMs) in tracking, organizing, and promoting client-supplied data and workflows. This role requires exceptional analytical skills, a collaborative mindset, and a strong understanding of eDiscovery processes and tools. Essential Job Responsibilities Serve as the primary point of contact for daily client requests, escalating to Project Managers as necessary. Accurately interpret client needs and PM instructions to relay tasks efficiently to operational teams. Draft processing statements of work and Playbooks for execution by other departments. Examine, prepare, and process client data in accordance with established workflows. Utilize downtime to assist the CS department in handling routine client requests. Troubleshoot and resolve client issues related to delivered or hosted data. Monitor and report on the progress of client Qualifications & Requirements Bachelor’s degree or equivalent. Minimum of 3+ years of hands-on experience in eDiscovery processes, including a strong understanding of the eDiscovery Reference Model (EDRM). Proficiency in Relativity, including Fields, Choices, Views, Layouts, RDC Import/Export, Searching, STRs, and Imaging/OCR Sets. Advanced knowledge of Microsoft Word, PowerPoint, Excel, and Outlook. Basic familiarity with data manipulation and troubleshooting workflows. Exceptional verbal and written communication skills. Detail-oriented with a strong appreciation for deadlines. Self-starter with the ability to manage multiple tasks independently. Flexibility to work night shifts and weekends when required. Demonstrated ability to work in a fast-paced, team-oriented environment. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. ROLE: SAP MM Manager Min 7-11 Years of SAP experience in Implementation Must have implementation experience in S/4 Hana Must have designed and delivered complex S/4 Solutions for MM/Ariba Strong cross module integration knowledge Should have experience in Agile methodology Should have experience in all the phases of a project Deep business process and SAP configuration in the SAP PTP area Plant creation Purchase Requisitions Purchase Order Types/Item Categories/Output Types etc Goods Receipt/Service Receipt Invoice Receipt / 3 Way Match Tolerances RICEF preparation in PTP area Prepare functional specs and interact with developers Material/Service Master data templates/creation process Should understand functionality of all the material master tabs and fields and their importance in driving different functionality PTP integration with Finance GR/IR postings to General Ledger Understanding of Ariba functionality and it’s interaction with SAP Understanding of MDG (material master) functionality and it’s interaction with SAP Understanding of OCR technology (OpenText etc) and how it integrates with SAP EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.