1124 Ocr Jobs - Page 11

About Xerox Holdings Corporation For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power the hybrid workplace of today and tomorrow. Today, Xerox is continuing its legacy of innovation to deliver client-centric and digitally-driven technology solutions and meet the needs of today’s global, distributed workforce. From the office to industrial environments, our differentiated business and technology offerings and financial services are essential workplace technology solutions that drive success for our clients. At Xerox, we make work, work. Learn more about us at www.xerox.com . Designation: AI Engineer Location: Kochi, India Experience: 2-5 Years Qualification: B. Tech /MCA /BCA Timings: 10 AM to 7 PM (IST) Work Mode: Hybrid Purpose: Responsible for functions, activities, and skills required for analysis, design, coding, integration, test & maintenance of Intelligent Document Processing modules and systems. Build NLP based solutions for query and document analysis, processing, information extraction and document classification, context-based information retrieval. Conduct research to advance the state-of-the-art Deep learning and NLP technologies. General: Builds knowledge of the organization, processes and customers Requires knowledge and experience in own discipline; still acquiring higher level knowledge and skills Receives a moderate level of guidance and direction Moderate decision-making authority guided by policies, procedures, and business operations protocol. Technical Skills: Proficiency and experience working in the technical area of Intelligent Document Processing (Digitization, OCR/ICR/OMR, LLM, Classification Methodologies, Data Extraction Methodologies, ML, AI, NLP etc.) Experience in the design & development of highly scalable templates and training documents on IDP for efficient data extraction from semi/un-structured pdf or images. Experience in Docker and flask APIs. Must have experience with Redis and Celery. Closely Work with Solution Architects/Team leads and should be able to prepare technical design document & implement automated deployment. Understanding and Practice of AGILE Methodologies. Proficiency and experience in working as part of the Software Development Lifecycle (SDLC) using Code Management & Release Tools (MS DevOps, GitHub, Team Foundation Server) Proficiency and experience working with Relational Databases and SQL Scripting (MS SQL Server) Clear understanding of Architecture and infra requirement and setup Useful: Experience/Proficiency in .NET (C#, VB, C++, Java) & Python development languages #LI-SS1 #LI-Hybrid

About Us We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners Job Title: Senior/Lead Data Scientist Experience Required: 4 + Years About the Role: We are seeking a skilled and innovative Machine Learning Engineer with 4+ years of experience to join our AI/ML team. The ideal candidate will have strong expertise in Computer Vision , Generative AI (GenAI) , and Deep Learning , with a proven track record of deploying models in production environments using Python, MLOps best practices, and cloud platforms like Azure ML. Key Responsibilities: Design, develop, and deploy AI/ML models for Computer Vision and GenAI use cases Build, fine-tune, and evaluate deep learning architectures (CNNs, Transformers, Diffusion models, etc.) Collaborate with product and engineering teams to integrate models into scalable pipelines and applications Manage the complete ML lifecycle using MLOps practices (versioning, CI/CD, monitoring, retraining) Develop reusable Python modules and maintain high-quality, production-grade ML code Work with Azure Machine Learning Services for training, inference, and model management Analyze large-scale datasets, extract insights, and prepare them for model training and validation Document technical designs, experiments, and decision-making processes Required Skills & Experience: 4–5 years of hands-on experience in Machine Learning and Deep Learning Strong experience in Computer Vision tasks such as object detection, image segmentation, OCR, etc. Practical knowledge and implementation experience in Generative AI (LLMs, diffusion models, embeddings) Solid programming skills in Python , with experience using frameworks like PyTorch , TensorFlow , OpenCV , Transformers (HuggingFace) , etc. Good understanding of MLOps concepts , model deployment, and lifecycle management Experience with cloud platforms , preferably Azure ML , for scalable model training and deployment Familiarity with data labeling tools, synthetic data generation, and model interpretability Strong problem-solving, debugging, and communication skills Good to Have: Experience with NLP , multimodal learning , or 3D computer vision Familiarity with containerization tools (Docker, Kubernetes) Experience in building end-to-end ML pipelines using MLflow, DVC, or similar tools Exposure to CI/CD pipelines for ML projects and working in agile development environments Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science , or a related field

We’re seeking a highly skilled Python Web Scraping Engineer with 3–4 years of hands-on experience in building robust data scrapers for a wide range of websites — from static pages to dynamic, JS-heavy platforms. The ideal candidate should have a deep understanding of Python-based scraping frameworks , web technologies, and anti-scraping defenses. Key Responsibilities: Design and build scalable scraping scripts using Python (Scrapy, BeautifulSoup, Selenium, Playwright) Extract structured and unstructured data from eCommerce, fashion, marketplace, and social media websites Handle dynamic content, lazy loading, and login-based content scraping Process and clean scraped data for AI models and data analytics pipelines Collaborate with AI/ML engineers to deliver enriched datasets for training and automation Bypass anti-scraping techniques using rotating proxies, headless browsers, CAPTCHAs solvers , etc. Implement scraping best practices to maintain anonymity and minimize IP bans Store scraped data in JSON, CSV, MySQL, MongoDB , or push it to APIs Schedule scraping tasks using cron jobs , Airflow , or similar tools Monitor data quality and update scripts when site structures change Maintain scraping logs and update stakeholders with progress reports Required Skills & Qualifications: 3–4 years of experience in web scraping with Python Proficiency in Scrapy, Selenium, Playwright, BeautifulSoup Experience with CAPTCHA-solving tools , proxy rotation , and IP management Familiarity with REST APIs, JSON, XML Experience storing data in databases (MongoDB, PostgreSQL, MySQL, etc.) Knowledge of version control (Git) and basic DevOps is a plus Preferred (Nice to Have): Experience in AI/ML projects where scraped data supports model training Exposure to cloud environments (AWS, GCP, Azure) Prior experience scraping at scale or working with large datasets Familiarity with text/image data extraction (OCR, NLP preprocessing)

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.

Job Title: Senior Telesales—B2B SaaS Sales Location: Bangalore Company: Klipit – Digital Expense Reimbursement & Warranty Platform Experience Required: 3+ Years in B2B Software/SaaS Sales Role Overview: We are looking for a driven and experienced senior telecaller/telesales with a strong background in B2B software sales. You will be responsible for lead qualification , outbound calling , nurturing prospects , scheduling demos , and supporting the sales funnel from interest to conversion. Key Responsibilities: Make outbound B2B calls to CXOs, finance heads, and decision-makers across mid to large enterprises. Pitch Klipit’s software solutions confidently and clearly. Understand customer pain points and suggest relevant features or modules. Schedule product demos for the Sales/Pre-Sales team. Maintain detailed lead activity in CRM (HubSpot/Salesforce preferred). Follow up consistently via phone, WhatsApp, and email to move prospects through the pipeline. Coordinate with marketing and sales teams for campaign follow-ups. Share daily/weekly reports on progress and conversions Requirements 3+ years of experience in B2B SaaS or software product telecalling/telesales. Excellent communication and convincing skills in English (Hindi or regional language a plus). Proven ability to meet or exceed lead conversion and follow-up KPIs. Comfortable using CRM tools, Google Sheets, and email automation tools. Strong understanding of the sales lifecycle and SaaS products. Preferred Skills: Prior experience selling finance, HRMS, or workflow SaaS products. Familiarity with the GCC/APAC/Indian SMB and enterprise SaaS market. Exposure to OCR, ERP integrations, or insurance/expense workflows. What We Offer: Competitive salary + performance-based incentives. ( 2.5 – 3 LPA + incentives ) Opportunity to grow into a team lead or inside sales manager. Work with a fast-scaling SaaS company solving real-world problems. A vibrant, growth-driven team and supportive work culture. Job Type: Full-time Pay: ₹250,000.00 - ₹300,000.00 per year Experience: B2B SaaS or software product telecalling/telesales: 3 years (Required) Location: Bangalore, Karnataka (Required)

As an AI Engineer at Xerox Holdings Corporation based in Kochi, India, with 2-5 years of experience and a qualification in B. Tech /MCA /BCA, your primary responsibility will be to handle the analysis, design, coding, integration, testing, and maintenance of Intelligent Document Processing modules and systems. You will be tasked with developing NLP-based solutions for query and document analysis, processing, information extraction, and document classification, focusing on context-based information retrieval. Additionally, you will be expected to conduct research to advance the current state-of-the-art Deep Learning and NLP technologies. In this role, you will be required to build a deep understanding of the organization, its processes, and its customers. While you should possess knowledge and experience in your field, you will also have opportunities to acquire higher-level knowledge and skills. You will receive moderate guidance and direction in your day-to-day tasks, with your decision-making authority being guided by established policies, procedures, and business operations protocols. Your technical skills are expected to include proficiency and hands-on experience in Intelligent Document Processing, encompassing Digitization, OCR/ICR/OMR, LLM, Classification Methodologies, Data Extraction Methodologies, ML, AI, and NLP technologies. You should have prior experience in designing and developing highly scalable templates and training documents on IDP to enable efficient data extraction from semi/unstructured PDFs or images. Familiarity with Docker and Flask APIs is essential, along with experience working with Redis, Celery, and the ability to collaborate closely with Solution Architects/Team leads to prepare technical design documents and implement automated deployment. Furthermore, your role will involve working with AGILE Methodologies, participating in the Software Development Lifecycle (SDLC) using Code Management & Release Tools such as MS DevOps, GitHub, and Team Foundation Server. Proficiency in working with Relational Databases and SQL Scripting, specifically MS SQL Server, is required. A clear understanding of architecture, infrastructure requirements, and setup is crucial for this position. Experience or proficiency in .NET (C#, VB, C++, Java) and Python development languages would be beneficial for the role. In summary, as an AI Engineer at Xerox Holdings Corporation, you will play a vital role in advancing the technology solutions offered by the organization and meeting the evolving needs of the global workforce by leveraging your expertise in Intelligent Document Processing, NLP, and AI technologies.,

DataPune Posted On 15 Jul 2025 End Date 31 Dec 2025 Required Experience 6 - 9 Years Basic Section Grade Role Lead Employment Type Full Time Employee Category Organisational Group Company NewVision Company Name New Vision Softcom & Consultancy Pvt. Ltd Function Business Units (BU) Department/Practice Data Organization Unit Data Science Region APAC Country India Base Office Location Pune Working Model Hybrid Weekly Off Pune Office Standard State Maharashtra Skills Skill DATA SCIENCE - AI MACHINE LEARNING PYTHON COMPUTRE VISION NLP NEO4J AWS Highest Education GRADUATION/EQUIVALENT COURSE CERTIFICATION No data available Working Language ENGLISH Job Description Senior Data Scientist – Gen AI, NLP & Graph Intelligence Experience: 7+ Years Location: Pune Employment Type: Full-time Role Overview: We are seeking a highly experienced and forward-thinking Senior Data Scientist to lead cutting-edge initiatives in Generative AI , Machine Learning , and Graph Intelligence . This role demands deep expertise in Neo4j , AWS Neptune , NLP , and LLM frameworks , with a strong foundation in predictive analytics and solution architecture. You will be instrumental in designing scalable, intelligent systems that transform data into actionable insights. Key Responsibilities: Lead the development and deployment of AI/ML models including predictive , prescriptive , and generative techniques. Architect and implement graph-based knowledge systems using Neo4j and AWS Neptune for semantic reasoning and relationship mapping. Design and fine-tune LLMs using frameworks like LangChain , LangGraph , LlamaIndex , and OpenAI/Azure OpenAI . Build and optimize RAG architectures , prompt engineering pipelines , and inferencing frameworks . Apply advanced NLP techniques for text analytics, document AI, OCR, sentiment analysis, entity recognition, and topic modeling. Collaborate with cross-functional teams to integrate models into production systems and drive business outcomes. Mentor junior data scientists and contribute to technical leadership across projects. Stay current with emerging trends in Gen AI, graph intelligence, and cloud-native ML. Required Skills & Experience: 8+ years of experience in programming with Python and SQL . 5+ years of hands-on experience in machine learning , including supervised and unsupervised algorithms, deep learning (RNN, LSTM, GRU), and artificial neural networks. 3+ years of experience in NLP , text analytics , and document intelligence . Proficiency in LangChain , LangGraph , and open-source LLM frameworks for tasks like summarization, classification, NER, and QA. Strong understanding of Generative AI techniques, prompt engineering , vector databases , and agentic frameworks . Hands-on experience with Neo4j , AWS Neptune , and knowledge graph modeling . Experience with RAG architecture , fine-tuning , and LLM deployment . Good to have familiarity with big data technologies and Microsoft Azure cloud services. Excellent problem-solving, communication, and stakeholder management skills. Preferred Qualifications: Bachelor's or Master’s or Ph.D. in Computer Science, Data Science, AI, or a related field. Experience with graph neural networks , semantic search , or knowledge graph reasoning . Exposure to ethical AI , data privacy , and responsible AI practices. Contributions to open-source AI/ML projects or research publications.

Clarivate is on the lookout for a Sr. Software Engineer ML (machine learning) to join our Patent Service team in Noida . The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. The ideal candidate should be eager to learn, equipped with strong hands-on technical and analytical thinking skills, have a passion for teamwork, and staying updated with the latest technological trends. About You – Experience, Education, Skills, And Accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required. Proven experience as a Machine Learning Engineer or similar position Deep knowledge of math, probability, statistics and algorithms Outstanding analytical and problem-solving skills Understanding of data structures, data modeling and software architecture Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch) Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in Prompt engineering . Expertise in visualizing and manipulating big datasets Working experience for managing ML workload in production Implement and/ or practicing MLOps or LLMOps concepts Additionally, It Would Be Advantageous If You Have Experience in Terraform or similar, and IAC in general. Familiarity with AWS Bedrock. Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision. Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Designing and developing machine learning systems Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary Implement monitoring and alerting systems to track the performance and health of ML models in production. Ensure security best practices are followed in the deployment and management of ML systems. Optimize infrastructure for performance, scalability, and cost efficiency. Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. Troubleshoot issues related to infrastructure, deployments, and performance of ML models. Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows. About The Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area. Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

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.,

Role And Responsibilities In this role, you will facilitate the delivery of robotic process automation (RPA) projects through the mobilisation, definition, development, and deployment phases. Your responsibilities will include project management, resource planning, stakeholder management, and communication planning. You will work closely with our team of award-winning business and technical specialists and leaders. Expected Activities: Serve as principal point-of-contact for the client and their team Lead several concurrent projects that involve consultants, developers, and clients Establish the Project Management Plan, tracking milestones, and coordinating meetings with client stakeholders as aligned with the delivery operating model Understand business and technical requirements to effectively coordinate/document process definition, solution design, user acceptance testing (UAT), and deployment activities with client stakeholders Facilitate resource planning activities, including assignment, onboarding, equipment provisioning, and user access to target applications Coordinate the development, review, and submission of RPA milestone deliverables (i.e. PDD, SDD, ODI, and BPA releases) Mitigate risks identified by the Delivery Manager to help avoid development, testing, or deployment roadblocks Provide regular weekly status updates, including risks, assumptions, issues, dependencies, defects, and change requests logs to the client and Program Manager Identify, catalogue, and archive reusable code assets and coordinate knowledge-sharing sessions between internal teams Qualifications And Skills Bachelor’s Degree focused on Information Technology or Information Management or equivalent education and experience Must have a minimum of 2 years of project management experience. Have excellent planning, problem-solving, project management and leadership skills Understand IT delivery methodologies (ITIL, Agile, Lean, etc) Prior experience in leading similar projects in robotics process automation (i.e. Blue Prism, UiPath, or Automation Anywhere) Leadership skills to inspire co-workers to attain goals and pursue excellence Understand the drivers of value, including the ability to size and prioritise large-scale initiatives across businesses and functions Bonus Points—Any prior work with OCR technologies (e.g., ABBYY, IBM Datacap, etc.) Desired characteristics in candidates Self-motivated and able to take the initiative with minimum need for supervision Effective communication skills for technical and non-technical audiences Highly motivated, organised and methodical, but can handle change in stride Analytical and proven problem-solving skills High emotional IQ Excellent organisational and time management skills Demonstrated willingness to dive into the details to guide projects to completion Team orientation rather than an individual contributor Insatiable work ethic Compensation And Start Dates. Hiring now for immediate start Salary: Competitive pay determined by level and experience Benefits: Healthcare, relocation, vacation, holidays WonderBotz is an Equal Employment Opportunity employer. Powered by JazzHR eOsnQFjG7O

About the Role: We are looking for a highly skilled and motivated Data Scientist with 35 years of experience to join our Data Innovation team. The ideal candidate will have strong analytical skills, hands-on experience in Computer Vision and Large Language Models (LLMs), and a proven track record of turning complex data into actionable insights and intelligent solutions. This role will involve working on high-impact AI solutions for unstructured data, including images and documents. Designation – Data Scientist Key Responsibilities: Design, develop, and deploy models for computer vision tasks such as object detection, image classification, OCR, segmentation, etc. Build and fine-tune LLM-based pipelines for tasks such as information extraction, document summarization, chat-based interfaces, and automated reasoning. Work closely with cross-functional teams (engineering, product, business) to translate business problems into data science solutions. Conduct exploratory data analysis, statistical modelling, and feature engineering across diverse data sources. Evaluate model performance using appropriate metrics and iterate for improvement. Stay up to date with the latest research and advancements in AI/ML, computer vision, and NLP. Required Qualifications: Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related fields. 3–5 years of hands-on experience in Data Science or Machine Learning roles. Strong proficiency in Python and ML libraries such as scikit-learn, pandas, PyTorch/TensorFlow, OpenCV, Langchain etc. Experience with Computer Vision frameworks (e.g., YOLO, Detectron2, MM Detection) and LLMs (e.g., Hugging Face Transformers, Lang Chain, LLaMA, GPT). Experience with real-world model deployment and evaluation. Strong grasp of machine learning concepts, statistical analysis, and data manipulation. Excellent problem-solving, communication, and stakeholder collaboration skills. Good to have: Exposure to the lending, finance, or banking domain (e.g., credit scoring, income estimation, fraud detection). Experience with document AI or multi-modal AI systems. Familiarity with cloud platforms (AWS/GCP/Azure) and MLops tools. Experience working with OCR engines (Tesseract, PaddleOCR, etc.) and integrating CV+LLM pipelines. Understanding of RAG pipelines, fine-tuning of open-source LLMs, or prompt engineering. Location – Ahmedabad (Onsite) Experience – 3 to 5 Years

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.

Role: AI ML Engineer Location: Bangalore Interview: F2F Skills: Computer Vision OCR 2D/3D Data Processing Gen AI LLM Python GCP

Job description Quick Apply: https://goodspace.ai/jobs?source=campaign_Indeed-Kritika_Fullstackdeveloper-1751714515349 Full Stack Developer forexblues Quick Apply Years of Experience-5-10 Years Location-Gurugram, Haryana, IndiaKey Skills-Node.js,Amazon Web Services (aws)Next.jsMern StackJob Description Job Title: Full Stack Developer (React.js + Node.js) Job Location: Remote / Gurugram (Hybrid Preferred) Experience: 5 to 9Years Type: -Full-time About Company The Company is a SaaS platform start-up for visitor management, QR-based campaigns, and digital business cards ecosystem designed to transform how organizations manage entry, campaigns, and digital interactions at events, corporate spaces, and exhibitions. Key Responsibilities Frontend Development Build and maintain responsive SPAs using React.js and Next.js. Collaborate with design and product teams for component libraries. Backend Development Develop RESTful APIs using Node.js with secure, scalable microservices. Implement real-time communication (Socket.io, Kafka). Manage cloud deployment (AWS EC2, S3, ELB). Mobile App Development Build cross-platform applications using Flutter (iOS/Android). Integrate camera-based QR code scanning and OCR for visitor cards. Deployment & DevOps Configure CI/CD pipelines using Jenkins or AWS CodePipeline. Containerize services with Docker; deploy using KubernetesRequired Skills & Qualifications Must have strong command over JavaScript, React.js/Next.js, Node.js. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experienced or Familiar in microservices architecture and cloud deployments (AWS). Must have Experienced or Familiar with Kafka, Docker, Kubernetes, and CI/CD pipelines. Familiarity with PostgreSQL, MongoDB, and Firebase Realtime DB. Good understanding of secure coding practices, encryption, SSL/TLS,. Must have great attitude towards learning new skills and upskilling the existing skills. Must have strong communication skills and have worked with cross platform team. Nice to Have Experienced in SaaS products and admin dashboards. Knowledge of Figma UI/UX designs Familiarity with Agile/Scrum workflows. Quick Apply: https://goodspace.ai/jobs?source=campaign_Indeed-Kritika_Fullstackdeveloper-1751714515349 Job Type: Full-time Pay: ₹600,000.00 - ₹900,000.00 per year Schedule: Day shift Work Location: In person Job Type: Full-time Pay: ₹600,000.00 - ₹900,000.00 per year Schedule: Day shift Work Location: In person

Technology Regular Gurgaon, Haryana, India Posted on:04/07/2025 Job ID:R-33983 We are looking for a skilled RPA Developer with strong experience in Automation Anywhere. The candidate should have a strong background in developing and implementing RPA solutions on Automation Anywhere and should be passionate about exploring new RPA platforms to drive innovation and efficiency within our organization. Design, develop, and deploy RPA solutions using RPA Automation Anywhere. Serve as a solution architect to design and implement scalable RPA solutions that align with business objectives. Continuously explore and evaluate new RPA platforms and tools to enhance the organization's automation capabilities. Collaborate with cross-functional teams to gather requirements along with Business Analyst and ensure proper documentation of processes. Create and maintain documentation related to RPA solutions, including process design documents, solution design documents, and involve in test plans. Provide training and support to stakeholders (Internal & External) on RPA tools and best practices. Mentor and guide the internal RPA team, monitor their performance, and provide support to ensure successful outcomes. Participate in code reviews and ensure adherence to coding standards and best practices. Manage client expectations by communicating project progress/ status, addressing concerns/ escalation, and ensuring satisfactory customers with RPA solutions. Contribute to the maintenance of RPA governance and standards. Qualifications Bachelor’s degree in computer science, Information Technology, or a related field. Minimum of 5 to 7 years of experience in developing RPA solutions using RPA Automation Anywhere. Must have Advanced/Master Certification. Strong understanding of RPA concepts, RPA life cycle, tools, and best practices. Proficiency in RPA Automation or Automation Anywhere (A360) development. Experience with process analysis, design, and implementation. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team Experience with exploring and evaluating new RPA platforms and tools is highly desirable. Strong knowledge of different types of OCR available in AA. Hands-on experience in PDF/ Image/ Excel/ Email automation and Web/ windows applications automation. Knowledge of programming languages such as Python and database (MS SQL Server) is a plus. Familiarity with Agile development methodologies. This is a Hybrid Work Model with three days presence in office mandatory on a weekly basis We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. DISCLAIMER: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units. . Please do not use generative AI tools during the application process. We aim to understand your genuine interest in our company without the use of generative AI systems, and we also want to evaluate your non-generative AI assisted communication skills. Any use of generative AI tools in violation of this request may result in disqualification from consideration for the position. Please do not use generative AI tools during the application process. We aim to understand your genuine interest in our company without the use of generative AI systems, and we also want to evaluate your non-generative AI assisted communication skills. Any use of generative AI tools in violation of this request may result in disqualification from consideration for the position. Under Department of Labor Regulations (29 CFR Part 471) federal contractors and subcontractors are required to inform employees of their rights under the National Labor Relations Act In an effort to avoid job scams, please keep in mind the items below in regards to opportunities at Alight Solutions. We do not make offers without interviewing We do not ask for security deposits on equipment We do not send checks through the mail or request payments through Western Union We do not ask for bank account numbers Our Story Alight is a leading cloud-based human capital technology and services provider for many of the world’s largest organizations and over 35 million people and dependents. Through the administration of employee benefits, Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation. Our Alight Worklife® platform empowers employers to gain a deeper understanding of their workforce and engage them throughout life’s most important moments with personalized benefits management and data-driven insights, leading to increased employee wellbeing, engagement and productivity. Learn more about the Alight Benefits Advantage™ at alight.com.

Job Title : SAP Finance Consultant with Strong VIM Experience Location : Bengaluru (Hybrid – 2 days WFO) Duration : 6+ Months Shift : IST Experience : As per role requirement Joining : Immediate joiners preferred Job Description We are seeking a skilled SAP Finance Consultant with strong expertise in Vendor Invoice Management (VIM) to support implementation and support engagements. The ideal candidate will have hands-on experience in SAP FI modules and OpenText VIM integration , with a focus on end-to-end invoice processing. Required Skills Minimum 5+ years of experience in SAP Finance modules 3+ years of hands-on experience with OpenText VIM Strong understanding of Accounts Payable and invoice processing workflows Experience with SAP Workflow, ArchiveLink, and OCR integration tools Ability to manage and resolve issues related to VIM document types, approval workflows, exception handling Knowledge of SAP S/4HANA Finance processes is an added advantage Good communication skills to interact with functional and technical teams Job Type: Contractual / Temporary Contract length: 8 months Pay: ₹100,000.00 - ₹130,000.00 per month Experience: IT: 6 years (Required) SAP Finance: 4 years (Required) SAP VIM : 4 years (Required) ABAP: 3 years (Required) Work Location: In person

Designation: AI ML Engineer – Generative AI Solutions Mode: Hybrid Experience: 4+ years Location : Mumbai Salary : Upto 30LPA We hiring for one of our top-tier client organization , seeking a Senior AI ML Engineer with deep expertise in Generative AI, LLMs, OCR, RAG, and Azure-based deployments . If you're excited about working on cutting-edge AI systems that integrate LLMs (GPT, BERT, T5, LLaMA, Mistral) with real-world use cases across text, vision, and document AI , this role is for you. What You’ll Be Working On: Building RAG-based solutions , optimizing with prompt engineering , and deploying multi-modal AI (text + vision) Working on OCR-based AI for document understanding & extraction Designing and testing AI models using frameworks like LangChain, LlamaIndex, Hugging Face Deploying scalable solutions on Azure (OpenAI, ML, Cognitive Services) with CI/CD, Docker & Kubernetes Collaborating across DevOps, Product, and Business to create intelligent systems Key Technologies: LLMs : GPT, BERT, LLaMA, T5, Mistral Frameworks : LangChain, LlamaIndex, Hugging Face, OpenAI, PyTorch, TensorFlow Cloud & DevOps : Azure AI Services, Azure ML, Azure DevOps, Docker, Kubernetes Vector DBs : FAISS, Pinecone, ChromaDB Testing & MLOps : MLflow, Weights & Biases, custom QA sampling, BLEU, ROUGE Ideal Experience: 5+ years in AI/ML development with a minimum of 2 years in Generative AI Proven track record in deploying RAG and LLM-based solutions Deep understanding of Transformer models & OCR Hands-on with Azure AI stack ; bonus if you’ve dabbled in AWS/GCP

Full Stack AI Developer – Generative AI, LLMs, and Scalable Applications Job Summary We are looking for a dynamic and hands-on Full Stack AI Developer with expertise in Python programming , Generative AI , LLMs , API development , and front-end frameworks like React and Streamlit. The ideal candidate will be responsible for building scalable AI applications, integrating advanced LLM capabilities, developing RESTful APIs, and delivering high-quality user interfaces optimized for performance, responsiveness, and usability. Key Responsibilities Design, develop, and maintain AI-powered full stack applications. Build and optimize REST APIs using FastAPI/Flask, including authentication, deployment, and integration with LLMs and vector databases. Create, test, and containerize backend services, ensuring robust deployment using Docker and CI/CD pipelines. Implement Generative AI features using models from Hugging Face, OpenAI, or LangChain/LlamaIndex. Develop Streamlit or React front-ends to demonstrate AI capabilities through interactive dashboards and tools. Integrate retrieval-augmented generation (RAG) and agentic AI concepts into product workflows. Apply best practices in software engineering including Git version control, testing, debugging, and documentation. Work with cloud platforms (AWS, Azure, GCP) and monitor AI systems in production environments. Required Technical Skills 🔸 Core Python Development Proficiency in Python 3 with experience in syntax, control flow, data structures, functions, error handling. Familiar with file I/O, modules, decorators, list/dict comprehensions, and exception management. 🔸 Scientific & Data Libraries NumPy: Array operations, broadcasting. Pandas: Data manipulation, aggregation, data cleaning. Database Integration: SQL, SQLite, MongoDB, Postgres; CRUD operations; vector DBs (Chroma, PGVector, FIZZ). 🔸 API Development RESTful API design with FastAPI or Flask. Concepts like query/path parameters, async/await, dependency injection, request validation, JWT/OAuth2 auth. Vector DB integration and streaming LLM responses. 🔸 Generative AI / LLMs Understanding of Transformer architectures, LLMs (GPT, BERT, LLaMA). Working knowledge of LangChain, LlamaIndex, Hugging Face Transformers. Hands-on experience with prompt engineering, parameter tuning, RAG, and agent-based workflows. 🔸 Deployment & Containerization Proficient with Docker, Dockerfiles, and Docker Compose. Familiar with CI/CD pipelines, GitHub Actions, and deploying containerized services. 🔸 Frontend Development HTML5, CSS3, and modern JavaScript (ES6+). Experience with Streamlit for rapid AI dashboards. Strong grasp of React.js (with TypeScript): Hooks, component state, form validation, async data fetching, and UI libraries (Material-UI, Tailwind). Familiarity with building conversational UIs, integrating streaming outputs via WebSockets/SSE. Desirable Skills Experience with cloud services: AWS, Azure, or GCP for hosting, AI/ML services, and serverless deployments. Monitoring and logging for AI systems (e.g., Prometheus, ELK stack). Familiarity with testing frameworks like pytest, httpx, React Testing Library. Exposure to PDF extraction, OCR tools (e.g., PyMuPDF, Tesseract). Good understanding of frontend accessibility (A11y) and performance optimization. Soft Skills Strong communication and documentation skills. Problem-solving mindset with the ability to independently debug complex systems. Ability to collaborate across cross-functional teams (AI/ML, DevOps, Frontend, Product). Educational Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field. Certifications or hands-on experience in Generative AI/LLMs is a plus. Summary This role is ideal for candidates passionate about developing end-to-end AI applications —from data ingestion and model integration to real-time deployment and UI/UX delivery. You’ll be working on real-world GenAI products using LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready setup. Skills: streamlit,langchain,docker,llms,pandas,mongodb,api development,python,sql,ci/cd,gcp,ml,sqlite,azure,javascript,html5,flask,python programming,llamaindex,numpy,aws,ai,git,css3,generative ai,fastapi,react,hugging face,postgres

Job description Quick Apply: https://goodspace.ai/jobs?source=campaign_Indeed-Kritika_Fullstackdeveloper-1751714515349 Full Stack Developer forexblues Quick Apply Years of Experience-5-10 Years Location-Gurugram, Haryana, IndiaKey Skills-Node.js,Amazon Web Services (aws)Next.jsMern StackJob Description Job Title: Full Stack Developer (React.js + Node.js) Job Location: Remote / Gurugram (Hybrid Preferred) Experience: 5 to 9Years Type: -Full-time About Company The Company is a SaaS platform start-up for visitor management, QR-based campaigns, and digital business cards ecosystem designed to transform how organizations manage entry, campaigns, and digital interactions at events, corporate spaces, and exhibitions. Key Responsibilities Frontend Development Build and maintain responsive SPAs using React.js and Next.js. Collaborate with design and product teams for component libraries. Backend Development Develop RESTful APIs using Node.js with secure, scalable microservices. Implement real-time communication (Socket.io, Kafka). Manage cloud deployment (AWS EC2, S3, ELB). Mobile App Development Build cross-platform applications using Flutter (iOS/Android). Integrate camera-based QR code scanning and OCR for visitor cards. Deployment & DevOps Configure CI/CD pipelines using Jenkins or AWS CodePipeline. Containerize services with Docker; deploy using KubernetesRequired Skills & Qualifications Must have strong command over JavaScript, React.js/Next.js, Node.js. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experienced or Familiar in microservices architecture and cloud deployments (AWS). Must have Experienced or Familiar with Kafka, Docker, Kubernetes, and CI/CD pipelines. Familiarity with PostgreSQL, MongoDB, and Firebase Realtime DB. Good understanding of secure coding practices, encryption, SSL/TLS,. Must have great attitude towards learning new skills and upskilling the existing skills. Must have strong communication skills and have worked with cross platform team. Nice to Have Experienced in SaaS products and admin dashboards. Knowledge of Figma UI/UX designs Familiarity with Agile/Scrum workflows. Quick Apply: https://goodspace.ai/jobs?source=campaign_Indeed-Kritika_Fullstackdeveloper-1751714515349 Job Type: Full-time Pay: ₹600,000.00 - ₹900,000.00 per year Schedule: Day shift Work Location: In person Job Type: Full-time Pay: ₹600,000.00 - ₹900,000.00 per year Schedule: Day shift Work Location: In person

Area(s) of responsibility: ---- 22652 Experience: 6 - 8 Years Python Programming : Strong proficiency in CORE Python OOP for developing GenAI applications. Mandatory required Gen AI/ Crew AI Fine-Tuning Techniques : Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA. Open-Source Frameworks : Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries. Cloud Platforms : Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models. Data Preprocessing : Skills in building and maintaining data preprocessing pipelines. API Integration : Experience with REST, SOAP, and other protocols for API integration. Model Evaluation : Knowledge of metrics and benchmarks for evaluating model performance. Document Intelligence : Proficiency in OCR and document intelligence using open-source and cloud tools. Front-End Tools : Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. Version Control : Proficiency in Git and version control best practices.

Internship Summary: We're looking for enthusiastic and talented AI Interns passionate about coding to join our team. This internship offers a unique opportunity to gain hands-on experience by working on real-world projects, contributing to innovative solutions. You will play a crucial role in developing advanced AI solutions from data preparation to model deployment. What You will Do: As an AI Engineer Intern, you'll work closely with our team, contributing to various stages of the AI development lifecycle. Your responsibilities may include: Data Preparation & Annotation: Assist in collecting, cleaning, preprocessing, and annotating large datasets This will involve supporting robust OCR and HTR capabilities. Model Experimentation & Evaluation: Conduct experiments to test, evaluate, and fine-tune AI models for accuracy, performance, and scalability. Information Extraction & Analysis: Contribute to the development and testing of features for highly accurate multilingual information extraction, retrieval, summarization, and enhanced pattern recognition from diverse, unstructured government documents. Large Language Model (LLM) Support: Support the team in evaluating, fine-tuning, and testing open-source LLMs for performance and suitability, ensuring they deeply understand government-specific terminology, policies, and contextual nuances in both English and Indian languages. Research & Exploration: Research the latest advancements, architectures, and techniques Prototyping & Implementation: Help in building prototypes and integrating AI components, including those for conceptual predictive insights from forecasting models. Experiment with prompt engineering techniques to optimize outputs from generative models. Explore and implement techniques for controlling generated content and ensuring model safety/alignment. Documentation: Maintain clear and concise documentation of experiments, model development processes, and results. Collaboration: Actively participate in team discussions, brainstorm new ideas, and collaborate with cross-functional teams to align AI solutions with business objectives.  Who Can Apply: Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning from a Tier 1 or Tier-2 Colleges / Autonomous Institutions. Strong foundational understanding of core AI and Machine Learning concepts and algorithms. Specific interest in Natural Language Processing (NLP) and Large Language Models (LLMs) is highly preferred. Proficiency in at least one programming language, preferably Python is mandatory Familiarity with deep learning frameworks (e.g., TensorFlow) is a plus. Excellent analytical and problem-solving skills, with a keen eye for detail in visual data and model outputs. Strong communication and teamwork skills, with the ability to articulate technical concepts clearly. A strong desire to learn, adapt, and contribute in a fast-paced environment focused on innovation.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: As an ML Engineer at eBay's Risk team, you'll be part of an exciting journey that is instrumental in maintaining eBay to be a safe and trusted marketplace. The role involves working on critical projects related to the Risk product, which enhances the model lifecycle management for applied researchers, data scientist and ML engineers like yourself. This team is known for fostering an innovative culture and a collaborative environment, encouraging continuous learning and growth. The Risk Engineering team is a key player in keeping the marketplace safe for all buyers and seller. What you will accomplish: Drive innovations in building models using ML/NLP/AI to prevent fraud and increase trust at eBay marketplace. Collaborate across multifunctional teams to integrate cutting-edge ML solutions that directly impact eBay's Risk mitigation and fraud prevention. Implement and refine model deployment processes that facilitate quick and efficient model releases from offline to online environments. Contribute to multi-functional problem-solving activities, assisting in developing advanced technological solutions for complex business situations. Engage in continuous learning opportunities, staying updated with the latest industry trends and technologies to drive eBay's success further. What you will bring: At least 5 years of experience in building, training and productionalizing AI model or conventional models. Strong Expertise with Python, Keras, Tensor Flow, Pytorch, Scikit modules is a must have. Deep understanding of machine learning fundamentals, algorithms, and model evaluation techniques. Hands-on experience with ML Ops tools and best practices. Experience with OCR, NLP, vector search, embeddings, and LLM-based applications is strong desired. Experience in the close examination of data and computation of statistics. Expertise in building features in feature store. Proven skills in enhancing model lifecycle management, particularly within complex ML platforms. Ability to work effectively in a collaborative and agile environment, managing multiple projects simultaneously. Deep understanding of both CPU and GPU serving platforms, and effectively bridging technological gaps. Experience working in large-scale AI transformations within prominent product companies in a plus. Strong communication skills and the ability to articulate complex technical concepts to diverse audiences. Experience in adversarial space like risk, security, bot mitigation or ads, recommendation are a strong plus. Experience with prompt engineering + RAG with COT, COV to build production grade solution will be strongly desired. Educational Qualification: Bachelor’s or Master’s in CS, Engineering, Math, or related field; PhD preferred but not required. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

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. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. 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. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. 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. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. 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.