1137 Ocr Jobs - Page 42

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

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. AI Engineer Role Overview: We are seeking a highly skilled and experienced AI Engineers with a minimum of 2 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. Your technical responsibilities: Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Design, develop, and maintain efficient, reusable, and reliable Python code 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. 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. 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. Write unit tests and conduct code reviews to ensure high-quality, bug-free software. Troubleshoot and debug applications to optimize performance and fix issues. Work with databases (SQL, NoSQL) and integrate third-party APIs. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 2 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence 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. 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. 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). 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. 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. Show more Show less

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Role Overview The Senior AI Scientist is a technical role responsible for driving the development, and deployment of advanced AI components, models and systems. With 7+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, and enterprise-grade implementation across foundational models, generative AI, and multi-modal applications. The individual is expected to contribute deep technical expertise, execute on complex AI initiatives. The ideal candidate combines a strong AI solution development experience, and collaboration across cross-functional business, product and other teams.Responsibilities1. Generative & Agentic AI Build and deploy GenAI models for text generation and content automation. Experience on working latest AI stacks like Nvidia- Nemo, NIM Microservices, Unsloth, Pytorch, Tensorflow etc. Develop agentic AI systems with autonomous task planning and decision-making capabilities.2. Large Language Models (LLMs) Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, Unsloth etc frameworks Establish the best practices for LLMOps, including prompt engineering and monitoring. Develop solution based on latest coding standards like Pep-83. Deep Learning and NLP components Experience in developing like QnA, chatbots, Image/Video/Audio processing, OCR based components like Extraction etc. Experience in designing and implementing end-to-end pipelines for Retrieval-Augmented Generation (RAG), including document indexing, retrieval mechanisms Experience in evaluating AI solutions using appropriate metrics Skills1. Experience in any one Python/Java/R/.Net software languages. Experience in one of databases like SQL/MongoDB etc.2. Experience in AI stacks like Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc.3. Experience in MLOps and AI deployment infrastructure.4. Experience in AWS/Azure/Google Cloud Services(anyone).5. Knowledge of responsible AI practices, including bias mitigation and ethical AI useQualifications & Educational Requirements1. Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 7+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.3. Experience in developing AI-driven solutions, with a deep understanding of the entire AI model lifecycle, from design to deployment and maintenance.4. Desired good communication skills, Qualifications Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 7+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc. Show more Show less

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. AI Engineer Role Overview: We are seeking a highly skilled and experienced AI Engineers with a minimum of 2 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. Your technical responsibilities: Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Design, develop, and maintain efficient, reusable, and reliable Python code 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. 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. 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. Write unit tests and conduct code reviews to ensure high-quality, bug-free software. Troubleshoot and debug applications to optimize performance and fix issues. Work with databases (SQL, NoSQL) and integrate third-party APIs. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 2 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence 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. 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. 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). 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. 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. Show more Show less

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. AI Engineer Role Overview: We are seeking a highly skilled and experienced AI Engineers with a minimum of 2 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. Your technical responsibilities: Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Design, develop, and maintain efficient, reusable, and reliable Python code 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. 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. 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. Write unit tests and conduct code reviews to ensure high-quality, bug-free software. Troubleshoot and debug applications to optimize performance and fix issues. Work with databases (SQL, NoSQL) and integrate third-party APIs. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 2 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence 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. 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. 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). 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. 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. Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone — from emerging artists to global brands — everything they need to design and deliver exceptional digital experiences. We are passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that innovative ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge Part of Acrobat engagement and retention charter to enhance engagement. Evolve Acrobat for modern user experience with the objective of delighting the customer Build the next generation document management based solutions by integrating cloud-based services and frameworks in Acrobat/Reader. Build the next generation of document creation tools. Design and build next generation of document processing tools to extract, index and search document content. Develop advanced document reconstruction algorithms for document editing, PDF Export. Develop document and image processing algorithms for creating next generation of document scanning and OCR tools. Develop next generation of intuitive and powerful document reviews, commenting and approval solutions. Develop security solutions for close to a billion Acrobat free users. What You Need To Succeed Min 5+ years of hands-on design/development experience. B.Tech or M.Tech (in computer science and engineering or related fields) / MCA Good understanding of object-oriented design and knowledge of product life cycles and associated issues. Technical depth in operating systems, computer architecture and OS internals. Proficient in C++, data structures and algorithms. Exposure to SaaS and REST API would be an added advantage. Ability to work independently with strong problem-solving skills. Be creative - ability to think outside the box Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Job Details JOB DESCRIPTION Role: Process Manager – Payments | Full-time (FT) | Financial Markets Location: Pune-Maharashtra-India Shift Timings: Flexible for any shifts Management Level: Middle Management Specialism: Accounts Payable – Invoice Processing, Recon & Payments Job Description As part of our global Accounts Payable function, you will be directly working with clients to understand long term strategic and mid-term business goals. This role will include an end to end Accounts Payable function on Invoice Processing, reconciliation, data capture and payments. The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Job Responsibilities Should possess strong communication and ability to communicate effectively with the clients. Should possess strong knowledge on E2E Accounts Payable function such as Invoice Processing, data capture, reconciliation and payments. He / She must have in-depth knowledge of the applications such as SAP, SCL, Ariba, OCR and other applications required for Accounts Payable. Should carry diverse experience in processing and verifying the invoices with good accuracy. Aware of nuance of various payment methods globally and holds strong understanding about Payments – downstream and upstream. He / she must have strong communication to interact with the clients, vendors, suppliers or end client. Should be able to resolve the discrepancies and disputes on the day to day operations. Independently handle all client escalations and lead mitigation steps to prevent future escalations Escalate issues to client and internal managers to bring issues to their attention in a short span of time to avoid client escalation Should have strong understanding on MI reporting, governance and control and audit reporting. Help knowledge management endeavor by sharing process knowledge and best practices within the teams Should be able to identify the issues and address to the client with very minimal support from SMEs of the process necessary Involved in daily production and assure to win client faith. Conduct daily huddles with the team to take the stock of BAU / cascading key instructions and guidelines to the team Ensure coverage provided to clients and team till EOD. Report any severe issues to internal Sr. Mgmt. timely and loop in for critical escalation Minimum Qualifications- Graduation (Bcom, BBA, BBM, BCA) / Post Graduation (Mcom, MBA, PGDM) 6 to 9 years of experience in handling team of minimum 20 members and has good experience and knowledge of Accounts Payable. Should be able to understand, manage and calculate risks. Should be good with logical and quantitative abilities. Proficiency on SAP tools, Ariba and SCL is an added advantage. Preferred Qualifications- Ability to manage and complete specific tasks with minimal direction Should be able to act fast and decisively when dealing with critical situations – ability to read situations and act in minutes Willingness to continuously learn, upgrade skills and stay relevant to business demands Excellent interpersonal skills – ability to network and earn confidence of diverse Client personnel plus interaction with and management of eClerx India based operations team. eClerx Financial Markets offers consulting, technological innovation, and process management expertise to uniquely solve operational challenges for financial organizations worldwide. With nearly two decades of industry experience, complemented by smart automation and robotics, our team of experts delivers holistic solutions across the trade lifecycle, change management, data analytics, compliance, cash securities operations, document digitization and generation, and outreach. To know more about us, visit https://eclerx.com eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law At eClerx, we value diversity and are committed to creating an inclusive environment for all employees. We encourage applications from all qualified individuals, regardless of race, ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, or any other characteristic protected by law. We believe that diverse perspectives strengthen our team and enhance our ability to serve our clients effectively. About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law. Show more Show less

About the Role: Looking for a highly experienced Computer Vision Specialist / AI Engineer to join our dynamic team. The ideal candidate will have a proven track record of delivering real-world computer vision and deep learning solutions, particularly in smart monitoring and edge & cloud AI applications. This role demands deep technical expertise in designing and deploying vision-based solutions such as object detection, object tracking, facial recognition, behavioral analysis, ANPR and OCR. You will lead the development and deployment of scalable, production-grade AI systems. Lead the architecture, development, and deployment of computer vision systems from concept to production. Develop and optimize advanced vision algorithms and deep learning models for real-time performance. Optimize AI/ML models for deployment across edge, cloud, and hybrid environments using tools like TensorRT, TFLite, OpenVINO, and ONNX. Collaborate with hardware and software engineering teams to ensure system-wide performance optimization. Conduct thorough testing, benchmarking, and performance tuning of models and systems. Required Skills & Experience: 25 years of hands-on experience in Computer Vision, Deep Learning, and AI model deployment. Strong proficiency in Python , with production-level experience in writing clean, modular, and scalable code. Familiar with frameworks and tools such as OpenCV, TensorFlow, PyTorch, YOLO, MediaPipe, Dlib. In-depth knowledge of: Convolutional Neural Networks (CNNs) o Object detection and tracking o Facial recognition techniques o Video-based behavioral analysis RTSP streaming, CCTV camera systems, NVR/DVR integration Deployment experience on platforms including: Edge devices (NVIDIA Jetson, Raspberry Pi, Coral Edge TPU) o Cloud (AWS/Azure/GCP) with containerization tools (Docker) Strong understanding of MLOps tools and workflows, including model tracking, data versioning, monitoring, and retraining. Nice to Have: Familiar with LLM and Vision Language Models

We are looking for candidates who could join our Information Technology vertical assist our Information Security and Governance team Role & responsibilities Develop policies in DLP system to monitor data exchange to external environment through emails, endpoints and web upload Investigation and conclusion of violation cases where data was exchanged externally Continuous improvement in existing DLP policies through the learnings from audits and violation cases Implementation & governance of OCR solution on DLP through Index Data Matching (IDM) Minimization of DLP violation cases through continuous improvement in existing DLP set up Incident management of DLP cases Regular interaction with internal stakeholders to close open incidents or audit observations on DLP Presentations for various management committees from DLP perspective Involvement in POC and discussions with DLP solution providers to upgrade/replace existing solution Support the Security Operations Center as subject matter expert and provide advice, training and technical support to internal/external stakeholders Mentor junior resources in DLP team Mandetory Skill Sets: Proven experience in implementation, maintenance and governance (min. 5-6 yrs relevant experience) of DLP solutions Technical skill sets to handle DLP system & understanding of infrastructure to support DLP system Strong understanding of Regulatory Guidelines on Data Privacy, Data Protection, DLP etc. Experience in internal stakeholders as well as vendor handling, monitoring, implementing processes Desirable Skills: Knowledge on retail loan sector/NBFC processes Good writing and communication skills Capable of handling multiple initiatives simultaneously Certification related to DLP, data privacy etc.

This role is for one of Weekday's clients Salary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA) Min Experience: 3 years Location: Bengaluru JobType: full-time Requirements About the Role We are seeking a passionate and skilled AI Engineer to join our innovative engineering team. In this role, you will play a pivotal part in designing, developing, and deploying cutting-edge artificial intelligence solutions with a focus on natural language processing (NLP) , computer vision , and machine learning models using TensorFlow and related frameworks. You will work on challenging projects that leverage large-scale data, deep learning, and advanced AI techniques, helping transform business problems into smart, automated, and scalable solutions. If you're someone who thrives in a fast-paced, tech-driven environment and loves solving real-world problems with AI, we'd love to hear from you. Key Responsibilities Design, develop, train, and deploy AI/ML models using frameworks such as TensorFlow, Keras, and PyTorch. Implement solutions across NLP, computer vision, and deep learning domains, using advanced techniques such as transformers, CNNs, LSTMs, OCR, image classification, and object detection. Collaborate closely with product managers, data scientists, and software engineers to identify use cases, define architecture, and integrate AI solutions into products. Optimize model performance for speed, accuracy, and scalability, using industry best practices in model tuning, validation, and A/B testing. Deploy AI models to cloud platforms such as AWS, GCP, and Azure, leveraging their native AI/ML services for efficient and reliable operation. Stay up to date with the latest AI research, trends, and technologies, and propose how they can be applied within the company's context. Ensure model explainability, reproducibility, and compliance with ethical AI standards. Contribute to the development of MLOps pipelines for managing model versioning, CI/CD for ML, and monitoring deployed models in production. Required Skills & Qualifications 3+ years of hands-on experience building and deploying AI/ML models in production environments. Proficiency in TensorFlow and deep learning workflows; experience with PyTorch is a plus. Strong foundation in natural language processing (e.g., NER, text classification, sentiment analysis, transformers) and computer vision (e.g., image processing, object recognition). Experience deploying and managing AI models on AWS, Google Cloud Platform (GCP), and Microsoft Azure. Skilled in Python and relevant libraries such as NumPy, Pandas, OpenCV, Scikit-learn, Hugging Face Transformers, etc. Familiarity with model deployment tools such as TensorFlow Serving, Docker, and Kubernetes. Experience working in cross-functional teams and agile environments. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. Preferred Qualifications Experience with MLOps tools and pipelines (MLflow, Kubeflow, SageMaker, etc.). Knowledge of data privacy and ethical AI practices. Exposure to edge AI or real-time inference systems. Show more Show less

About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions. About BNP Paribas Group BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability Commitment to Diversity and Inclusion At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. About Business Line/Function Under BNP Paribas IT Group, Finance and Risk IT (FRESH) is the IT framework encompassing Projects & Systems of Finance and RISK functions, with a strong focus on efficiency, proximity, agility and time-to-market. The Finance and Risk IT (FRESH) organization is a unique organization within the BNP PARIBAS IT Group. FRESH is responsible for the alignment of IT programs with the strategy and objectives of Finance and Risk.The BOOST-IDeA team, as part of the CONNECT umbrella within FRESH division, is a privileged partner of the Finance&Strategy and RISK Functions, a catalyst for efficiency and operational excellence. Connect – BOOST IdeA Team, located in Paris, supports the [Finance&Strategy] and [Risk] business lines in the leveraging of their operational efficiency. In particular, the [AI Center of Expertise] team aims to support our business partners in the collection/identification of eligible AI topics, the definition and design of the tooling strategy, the implementation of the solution and its maintenance in production environment. Job Title Senior Data Scientist Date 16/04/2025 Department ITG – ITT&F Location: Mumbai Business Line / Function FRESH - CONNECT-BOOST Reports To (Direct) Project Manager (ISPL) Grade (if applicable) (Functional) Onshore Manager (Paris) Number Of Direct Reports NA Directorship / Registration NA Position Purpose The chosen candidate will assume, in close coordination with the Head on the [AI Center of Expertise]; the role of "Senior Data Scientist" participating, along with the whole team, in supporting the business teams in the experimentation and industrialization of innovative projects (AA) i.e. from the POC to project instruction phases and implementation and deployment in the BNPP ITG Cloud infrastructure. Responsibilities As part a full-stack developer in MIND squad, your daily tasks will be: Direct Responsibilities Define the target architecture Design of the associated AI solution to meet user's needs Exchange with the various ITG experts to reach the full understanding of AI landscape (Service offers available, technical and security requirements, guidelines, …) Launch the Proof of Concept if needed to experiment new models, algorithms, technical assets, … Launch the industrialization process following ITG guidelines with the help of the project manager (project launching, instruction, …); Support the integration of solutions into the BNPP ITG infrastructure Coordinate the testing new solutions with users Manage the maintenance of the solutions in Production Environment Identify skills needed depending on the characteristics of the project Build the staffing accordingly project by project Identify potential new skills needed and coordinate with Head of CoE to anticipate needed trainings / hirings Transversal and Contributing Responsibilities Contribute to transversal Finance optimization projects Act as a mentor to other team members being Data Scientists or people within the team engaged in an upskilling/reskilling to AI path Acculturate our F&R-Solutions colleagues and our business partners, on AI capabilities helping them getting basic/medium knowledge and enlighten them on its benefits. Act as first point of contacts for local business partners in the collect and first-level assessment of potential AI-eligible needs.Collaborate with Finance counterparts for developing insights and solutions Documentation of applications, maintenance processes and user guides. Participate to the "Ideation" phase used to identify pain points and possible topics eligible to AI Participate to the Identification of potential new skills/competencies needed and alert Head of CoE accordingly. Participate to the technological watch regarding AI at large: new algorithms, new models, new features, … in order to propose up-to-date solutions to our portfolio of projects Technical & Behavioral Competencies Candidate Must Justify Relevant Experience On Following Streams Minimum of 5 years as Team Leader coordinating team (5 people or more) on implementation and maintenance of IT solutions. Strong knowledge and experience in conducting the different phases of a project (requirements, design, implementation, tests, industrialization, …) is required. Also, significant experience on Agile is needed, especially Scrum methodology. Minimum of 2 years on AI projects having had the opportunity to work on a variety of topics: Machine Learning, NLG, NLP, LLM, MLLM, IDP, OCR, ... pushing those topics to Production environment validating industrialized phase. Following skills are required: Technically On below listed areas (Machine Learning, NLG, NLP, LLM, MLLM, ...) Knowledge of algorithms/models Ability to train/finetune a model Transversally Python coding Domino platform Understand the BNPP Technical Context Structuring application following "DevOps" guidelines allowing industrialization and scale-up Take ownership and use the services offered by the Group Ability to collaborate / teamwork Be customer oriented Be results oriented Ability to analyze Critical thinking Ability to anticipate business / strategic changes Ability to understand, explain and lead change Creativity & Innovation / Ability to solve problems Ability to define relevant performance indicators Specific Qualifications (if Required) Candidate must have a Master degree in Computer Science or Data Engineering or Data Science. 5+ years experience required Skills Referential Behavioural Skills: (Please select up to 4 skills) Ability to collaborate / Teamwork Client focused Adaptability Creativity & Innovation / Problem solving Transversal Skills: (Please select up to 5 skills) Ability to understand, explain and support change Analytical Ability Ability to anticipate business / strategic evolution Ability to develop and adapt a process Education Level Master Degree or equivalent Experience Level At least 5 years Show more Show less

Job Description: This is a full-time on-site role located in Noida for a Sales Professional. The Sales Professional will be responsible for achieving sales targets, identifying profitable business opportunities, and promoting ExpenseAnywhere solutions to potential customers. The Sales Professional will also be responsible for building and maintaining long-term relationships with clients, providing excellent customer service, and collaborating with internal teams to ensure customer satisfaction. Qualifications: · Sales and Marketing Skills: The candidate should possess strong sales and marketing skills that include identifying profitable business opportunities, achieving sales targets, and promoting solutions. · Communication Skills: Excellent verbal and written communication skills are required. · Customer Service Skills: The candidate should have strong customer service skills and the ability to build and maintain long-term relationships with clients. · Technical Knowledge: Knowledge of cloud-based solutions, AI, and OCR-based machine learning technology is a plus. · Teamwork: The candidate should possess strong teamwork skills and the ability to collaborate with internal teams to ensure customer satisfaction. · Experience: The candidate should have 10 years + of relevant sales experience in the software industry. · Educational Requirements: Bachelor's degree in Business Administration, Marketing, or related field is required. A Master's degree is a plus. COMPANY PROFILE- EXPENSEANYWHERE TECHNOLOGIES PRIVATE LTD. WEBSITE: www.expenseanywhere.com ExpenseAnywhere is a global leader in corporate spend management automation solutions and payments. Since 2005, our solutions have helped organizations around the globe automate their manual, cumbersome, paper-based processes with increased productivity and corporate efficiency. Our cloud-based solutions utilize latest technology, including machine learning, artificial intelligence and enhanced OCR to deliver complete end-to-end automation of Accounts Payable Processes and reduce overall processing costs by over 60% for most corporations. Our comprehensive global solutions include a complete set of products that automate every aspect of corporate spend. These include: · ExpenseAnywhere, for automation of corporate travel and expense management processes · InvoiceAnywhere, for automation of procure-to-pay and supplier invoice management processes · PurchaseAnywhere, for automation and management of the Purchase card/Pre-Paid card transactions ExpenseAnywhere serves mid to large size clients in USA, Canada, Latin America, Europe, India, Southeast Asia and Australia, and across industries and government departments. Some of our clients include, State of New York, Department of Transportation, Papa Johns, Konica-Minolta, Kone Elevators, Nuclear Security Campus-KCP; Glen Pharma, Greystar, MTS Corporation, Logan Aluminium, Godfrey Philips, Snow Corporation, Indigene, Aquatec, etc. Headquartered in Pittsburgh, PA, ExpenseAnywhere is a privately held, fast growing company with offices across US, UK, Canada and India. Show more Show less

Join our SAP FICO Team as a SAP Consultant, connecting business and technology! . Analyse processes, design solutions, and lead implementation, bringing added value to the company. With expertise in SAP and its related processes, you'll join a team working over 3 locations. Apply now for this dynamic opportunity! Responsibilities: Active participation in the account payable process project, shaping the future of the company. Analysis, design, and implementation of SAP solutions for relevant business processes. Taking ownership of the implementation process, from gathering requirements to production release. Creation of documentation and presentations to showcase the business value of proposed solutions. Collaboration with other IT product teams to ensure seamless integration. Preparation of functional concepts for SAP integration with other systems. Support of business operations by resolving incidents and fixing bugs and malfunctions in SAP. General Expectations: +10 years of experince only in FICO and at least 4 full life cycle Very good collaboration and presentation skills to take over the responsibility of sub projects including understanding the critical points and manage the meeting Deliver detailed design, build, testing and deployment and governance within the SAP change requests and projects, working with the release managers and project managers with agreed quality and timelines The consultant will conduct workshops, lead an international team of consultants and subcontractors, coordinate with other teams for successful delivery of integrated solutions ensure development of functional and technical documentation Works on more than one engagement at a time Specific expectations: Very good knowledge of account payable process to understand current Gaps and propose solutions as per standard solution Ability to analyze complicated process that impacting MAP like purchase return, period end activity, GR/IR clearing ** Good understanding of SAP integration technologies like API,EDI and integration suit Have experience working with OCR applications Expert in bank application functionalities including Dmee and bank reconciliation . Having knowledge about cash concentration is a big advantage. Deep knowledge of Controlling module , structure, objects panning and actual process. To understand business structure and processes and find best matched controlling objects. Profit center structure and rules definition along with splitting modules to prepare financial statutory report out of SAP Show more Show less

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

We are urgently looking for a highly skilled Python Developer with hands-on experience in Machine Learning and Computer Vision to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying intelligent vision systems and ML-based solutions to solve real-world problems. 🔴 This is an immediate requirement – applications will be reviewed on a rolling basis. If you're ready to make an impact, apply now! Key Responsibilities: Develop and maintain Python-based ML/CV pipelines and applications. Design and implement computer vision algorithms for tasks like object detection, tracking, image classification, OCR, etc. Train, evaluate, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. Preprocess and annotate image and video datasets for training and testing models. Deploy models into production environments using tools like Docker, FastAPI, or Flask. Collaborate in a cross-functional team to integrate ML/CV solutions into products. Stay updated with the latest advancements in AI, ML, and CV research and practices. Required Skills & Qualifications: Strong proficiency in Python and related libraries (NumPy, OpenCV, Pandas, etc.) Solid understanding of Machine Learning concepts and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Practical experience in Computer Vision , including techniques such as image segmentation, feature extraction, object detection, and recognition. Experience with REST APIs, version control (Git), and containerization (Docker). Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. What We Offer: Competitive salary and performance-based incentives. Flexible work hours Opportunity to work on cutting-edge AI and vision projects. A collaborative and growth-oriented team environment. Show more Show less

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

About 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 . 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, DL, 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 Python Show more Show less

Job Description Job summary: Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, measuring compliance with internal limits, maintaining the formal control apparatus of the bank, meeting financial or regulatory reporting requirements and issuing public disclosures. Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs and reports, leading to financial loss, poor business decision making, or reputational damage. As part of the firm’s model risk management function, Model Risk Governance and Review Group (MRGR) is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model’s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations. Model manager roles within MRGR provide attractive career paths for model development and model validation quants in a dynamic setting working closely with Model Developers, Model Users, Risk and Finance professionals, where they act as key stakeholders on day-to-day model-related risk management decisions as well as conduct independent model validation of new and existing models. Core Responsibilities The successful candidate will be a member of the MRGR Group in Bengaluru covering all Data Science across all ex-trading applications of artificial intelligence and machine learning models across CIB: Engage in new model validation activities for all Data Science models in the coverage area - evaluate conceptual soundness of model specification; reasonableness of assumptions and reliability of inputs; fit for purpose; completeness of testing performed to support the correctness of the implementation; robustness of numerical aspects; suitability and comprehensiveness of performance metrics and risk measures associated with use of model. Conduct independent testing Perform additional model review activities ranging from proposed enhancements to existing models, extensions to scope of existing models. Liaise with Model Developers, Model Users, Risk and Finance professionals to provide oversight of and guidance on appropriate usage, controls around model restrictions & limitations, and findings for ongoing performance assessment & testing Maintain model risk control apparatus of the bank for the coverage area & serve as first point of contact Keep up with the latest developments in coverage area in terms of products, markets, models, risk management practices and industry standards Essential Skills, Experience, And Qualifications A Ph.D. or Master’s degree in a Data Science oriented field such as Data Science, Computer Science or Statistics, is required. Prior experience in following backgrounds (2-4+ years): Data Science, Quantitative Model Development, Model Validation or Technology focused on Data Science including hands on experience with building/testing machine learning models Strong understanding of Machine Learning / Data Science theory, techniques and tools including Transformers, Large Language Models, NLP, GANs, Deep Learning, OCR, XGBoost, and Reinforcement Learning Understanding of the machine learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop is an asset Proficiency in Python programming. Python machine learning library and ecosystem experience: Numpy Scipy Scikit-learn Theano TensorFlow Keras PyTorch Pandas Excellent writing skills: previous experience in writing scientific text with the ability to describe evidence and present logical reasoning clearly. Strong communication skills and ability to interface with other functional areas in the bank on model-related issues Risk and control mindset: ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Show more Show less

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

Python Developer – NLP & LLM Focus Location: India / Remote Position Type: Contract (20 hours per week) Pay: Commensurate with Experience Job Summary: We are seeking a highly analytical and solution-oriented Python Developer with a strong background in data science and large language models (LLMs) . The ideal candidate will possess deep expertise in troubleshooting complex issues and developing robust, scalable solutions. This role requires a blend of software engineering and data science skills in Natural Language Processing (NLP), with an emphasis on document text extraction, model execution, optimization, and implementation in production environments. Responsibilities: Design, develop, and deploy Python-based solutions to accurately extract and normalize information from documents Use cloud-based text extraction models and LLMs from OpenAI and Anthropic Work with NLP models for language processing / data classification Evaluate / compare model output Troubleshoot issues in data pipelines and model performance, and implement effective solutions to address performance and accuracy issues Collaborate with cross-functional teams to understand requirements, design solutions, and deliver high-quality code Ensure code quality, documentation, and maintainability across projects Optimize existing models and systems for efficiency and scalability Requirements: Minimum of 5 years of experience in Python with a focus on NLP 1 year of hand-on integration and model execution experience with LLMs from OpenAI and/or Anthropic Experience working with relational databases like PostgreSQL and no-SQL databases like MongoDB Engineering degree in Computer Science or equivalent Solid understanding of software development best practices and data pipeline design Experience with Git, CI/CD pipelines, and cloud deployment (AWS, or Azure) Strong problem-solving skills and ability to work in an agile environment Excellent communication and interpersonal skills Preferred Skills (Nice to Have): Experience working with text extraction models (e.g., OCR, NLP-based extractors) Experience implementing fuzzy (non-exact) matching logic using tools like OpenSearch or similar technologies Familiarity with International Trade Documents and domain-specific data Why Join Us: Work remotely Work on cutting-edge AI/ML models with real-world impact Flexible engagement model: Work 20 to 40 hours per week Collaborative and innovative team environment Competitive compensation aligned with your experience and expertise Powered by JazzHR xWVFB8brzb Show more Show less

Job Overview We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision Responsibilities : Develop and deploy computer vision algorithms and deep learning models for diverse applications. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing techniques. Analyze, evaluate, and optimize existing computer vision systems for improved performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability. Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions meeting project requirements. Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision : 5 years of experience as a Computer Vision Engineer. Bachelor's degree in Computer Science or a related field. Proven experience in developing and deploying computer vision systems. Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc. Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL. Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO. Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub. Experience in training models using GPU computing or cloud-based environments. Familiarity with machine learning and deep learning concepts and frameworks. Strong problem-solving and analytical skills. Ability to work independently in a fast-paced environment and collaborate effectively in a Qualifications : Experience in real-time video processing and streaming analytics. Knowledge of Edge AI and deployment on embedded systems. Exposure to 3D vision, SLAM, and depth estimation. Contributions to open-source computer vision projects. (ref:hirist.tech) Show more Show less

Job Description Good knowledge in QA process. Experience in manual testing as well as test automation. Must have knowledge in Java, Python or similar languages for test automation. Must have experience in Selenium or similar test automation Must have experience in test automation of GUI and APIs. Must have experience in test automation of Windows desktop applications. Experience playing an SDET role for developing a QA framework or related automations would be added advantage. Working knowledge on Linux would be added advantage. Knowledge in SQL would be added advantage. Knowledge in Kubernetes would be added Responsibilities : Design and develop automation frameworks for image validation (bar/pie charts). Build auto-scaling test systems with Docker/Kubernetes. Automate test runs using Linux shell scripting. Integrate tests into CI/CD pipelines (Jenkins, GitLab CI, etc.). Manage execution logs using tools like ELK stack. Lead test planning, design, and framework Skills : Strong scripting (Shell/Linux), and programming (Python/Java). Experience with Docker, Kubernetes, Git, Jenkins. Familiarity with OCR tools : UFT, Tosca, UIPath. Image processing experience is highly desirable. Manual + Automation testing background. Excellent leadership and problem-solving skills. (ref:hirist.tech) Show more Show less

Job Description The Accounts Payable Analyst – Payments will be based in Chennai, India and will be responsible for executing and managing the end-to-end vendor payment cycle, ensuring timely, accurate, and compliant disbursements globally. This role involves coordinating with internal teams, managing payment runs, resolving payment issues, and maintaining a high level of internal control and audit readiness. In this position, you will report to the Manager, Accounts Payable. Watch “Culture is our Passion” to learn more about us. We Are Looking For Someone Who Demonstrates Passionate drive to innovate and create Integrity to the core Enthusiastic customer focus Consistent interactive teamwork Desire for continuous improvement and top performance Here Is a Glimpse Of What You’ll Do Execute daily/weekly global payment runs (ACH, wire, check, virtual card, etc.) in multiple currencies and banking platforms. Review and validate payment batches for accuracy, proper approvals, and compliance. Coordinate with Treasury and Cash Management teams to ensure sufficient funding and accurate payment forecasting. Troubleshoot payment issues, bank rejections, and ensure resolution with minimal business disruption. Maintain and update vendor banking information securely, ensuring proper documentation and fraud controls. Monitor invoice due dates and manage payment scheduling to optimize working capital and meet payment terms. Collaborate with AP invoice processing team to resolve holds and exceptions before payment runs. Assist in internal/external audits and quarter-end processes by providing payment confirmations and reconciliation support. Track and reconcile payment confirmations, remittance advices, and ensure accuracy of payment postings in ERP. Manage global payment rejection and remediation trackers, driving timely root cause analysis and resolution. Support implementation of automated payment tools and participate in testing and training for system updates (OCR tools, NetSuite enhancements). Maintain documentation in accordance with internal controls and SOX compliance standards. Here Is Some Of What You’ll Need (required) Bachelor’s degree in accounting, Finance, or a related field. (1-3) years of accounts payable and payments experience in a global, fast-paced environment. Experience using GTreasury or similar Treasury Management Systems for payment processing and cash positioning. Strong understanding of payment methods (ACH, Wires, FX, SEPA) and multi-currency transactions. Flexible to work in US time zone. Excellent Excel skills and ability to work with large data sets. Strong communication, analytical, and problem-solving skills. Experience working with cross-functional teams across multiple regions/time zones. Here Are a Few Of Our Preferred Experiences Experience in global / multi-country payment operations across the U.S., EMEA, APAC, and LATAM. Familiarity with OCR tools and AP automation technologies. Knowledge of compliance regulations related to payments and banking (e.g., OFAC, KYC, AML). Ability to identify and implement process improvements and drive operational efficiency. Familiarity with internal controls and SOX compliance. Knowledge of global payment regulations, fraud prevention, and banking compliance. At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services. For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations. Culture is our Passion Show more Show less

Job Description The Accounts Payable Analyst , will be based in Chennai, India and will be responsible for processing, validating, and reconciling all non-PO/indirect invoices in a timely and accurate manner. This role ensures compliance with internal controls, facilitates communication between internal stakeholders and suppliers, and supports continuous improvement of AP operations. In this position, you will report to the Assistant Manager, Finance. Watch “Culture is our Passion” to learn more about us. We Are Looking For Someone Who Demonstrates Passionate drive to innovate and create Integrity to the core Enthusiastic customer focus Consistent interactive teamwork Desire for continuous improvement and top performance Here Is a Glimpse Of What You’ll Do Process and validate indirect (PO/ non-PO) invoices in accordance with company policies and procedures. Collaborate with cross-functional teams (procurement, business units, finance) to ensure invoice accuracy and resolve discrepancies. Ensure timely invoice approvals and follow up with requestors or approvers as needed. Monitor aging reports and ensure invoices are processed and paid on time to avoid disruptions or late payment penalties. Support month-end closing activities including accruals, reconciliations, and reporting. Respond to vendor inquiries professionally and promptly, providing updates on invoice/payment status. Assist with vendor onboarding, tax validations, and payment terms setup as needed. Identify process bottlenecks and participate in continuous improvement initiatives. Ensure compliance with internal controls, SOX, and audit requirements. Maintain proper documentation and audit trail for all transactions processed. Here Is Some Of What You’ll Need (required) Bachelor’s degree in finance, Accounting or related field or equivalent experience and training. Typically requires (1-3) years of related experience in accounts payable operations, invoice processing. Familiarity with indirect procurement processes and non-PO invoice flows. Strong understanding of invoice-to-pay cycles and accounting principles. Proficient in ERP systems (e.g., NetSuite, Oracle) and Microsoft Excel. Strong analytical, organizational, and communication skills. Ability to work in a fast-paced environment, support multiple time zones (night shift) and manage multiple priorities. Ready to work in US time zone. Willingness to work in complex environment with strict deadlines on projects. Good written/oral communication skills in English Proficiency in MS Excel and ERP Systems Here Are a Few Of Our Preferred Experiences Experience with workflow automation tools or OCR systems. Familiarity with global tax and invoice compliance (e.g., GST, VAT). Exposure to SOX or internal audit environments. Prior experience supporting global or multi-country AP processes. Engagement with management of projects related to the unit Good analytical skills and should be a team player. At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services. For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations. Culture is our Passion Show more Show less

3 to 8 years of experience in RPA Development using UiPath. Blue Prism experience would be added advantage. Have sound understanding of Development, SIT, UAT and Deployment phases covering the entire Application Development Life Cycle Assessing functional and technical feasibility of new processes that need to be automated. Analysing, understanding and documenting the business processes in detail in (PDD). Converting requirements to automation-specific design and solutions documents (SDD) Developing new RPA solutions and objects using core workflow principles that are efficient, well structured, maintainable and easy to understand. Designing automation solutions in accordance with standard RPA design principles Creating and documenting test procedures and scenarios for the pre-UAT phases Supporting the Operations Teams during the UAT and rollout phases Supporting existing processes and implementing change requirements as part of a structured change control process. Experience in coordinating with process owners and business to understand the as-is process and design the automation process flow using UIpath Problem solving issues that arise in day to day running of RPA processes and providing timely responses and solutions as required. Extensive development experience with Browser Automation, Windows Automation, Surface Automation, Mainframe, SAP, MAPIEx, MS Excel VBO, Web Services. Experience in VB / C#.NET & knowledge of HTML, SQL, VBO is desired. Knowledge of OCR Technology, Uipath developer or professional certification is added advantage