342 Summarization Jobs - Page 5

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. Requirements Key Responsibilities: Lead and mentor a dynamic Data Science team in developing scalable, reusable tools and capabilities to advance machine learning models, specializing in computer vision, natural language processing, API development and Product building. Drive innovative solutions for complex CV-NLP challenges, including tasks like image classification, data extraction, text classification, and summarization, leveraging a diverse set of data inputs such as images, documents, and text. Collaborate with cross-functional teams, including DevOps and Data Engineering, to design and implement efficient ML pipelines that facilitate seamless model integration and deployment in production environments. Spearhead the optimization of the model development lifecycle, focusing on scalability for training and production scoring to manage significant data volumes and user traffic. Implement cutting-edge technologies and techniques to enhance model training throughput and response times. Required Experience & Expertise: 3+ years of experience in developing computer vision models and applications. Extensive knowledge and experience in Data Science and Machine Learning techniques, with a proven track record in leading and executing complex projects. Deep understanding of the entire ML model development lifecycle, including design, development, training, testing/evaluation, and deployment, with the ability to guide best practices. Expertise in writing high-quality, reusable code for various stages of model development, including training, testing, and deployment. Advanced proficiency in Python programming, with extensive experience in ML frameworks such as Scikit-learn, TensorFlow, and Keras and API development frameworks such as Django, Fast API. Demonstrated success in overcoming OCR challenges using advanced methodologies and libraries like Tesseract, Keras-OCR, EasyOCR, etc. Proven experience in architecting reusable APIs to integrate OCR capabilities across diverse applications and use cases. Proficiency with public cloud OCR services like AWS Textract, GCP Vision, and Document AI. History of integrating OCR solutions into production systems for efficient text extraction from various media, including images and PDFs. Comprehensive understanding of convolutional neural networks (CNNs) and hands-on experience with deep learning models, such as YOLO. Strong capability to prototype, evaluate, and implement state-of-the-art ML advancements, particularly in OCR and CV-NLP. Extensive experience in NLP tasks, such as Named Entity Recognition (NER), text classification, and on finetuning of Large Language Models (LLMs). This senior role is tailored for visionary professionals eager to push the boundaries of CV-NLP and drive impactful data-driven innovations using both well-established methods and the latest technological advancements. Benefits We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age. Show more Show less

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. Requirements Key Responsibilities: Join a dynamic Data Science team as a CV-NLP Engineer, where you'll develop reusable tools and capabilities for building advanced machine learning models. Tackle cutting-edge CV-NLP challenges, including image classification, data extraction, text classification, and summarization, using images, documents, and text data. Collaborate closely with DevOps and Data Engineering teams to create efficient ML pipelines, ensuring seamless integration and deployment of models into production environments. Accelerate the model development lifecycle, ensuring scalability for training and production scoring to handle large volumes of data and user traffic. Optimize model training throughput and response times using the latest technologies and techniques. Required Experience & Expertise: 1-3 years of experience in developing computer vision models and applications. Foundational knowledge in API Development and experience in Data Science and Machine Learning techniques. Strong understanding of the complete ML model development lifecycle, including development, training, testing/evaluation, and deployment. Proficient in writing reusable code for various ML stages, such as model training, testing, and deployment. Hands-on experience in Python programming. Proven track record in developing solutions for ML problems using frameworks like Scikit-learn, TensorFlow, Keras, etc. Experience solving OCR challenges with pre-trained models and libraries such as Tesseract, Keras-OCR, EasyOCR, etc. Skilled in developing reusable APIs for integrating OCR capabilities with various applications. Familiarity with public cloud OCR services like AWS Textract, GCP Vision etc. Experience in integrating OCR solutions into production systems for extracting text from diverse images, PDFs, and other document types. Solid understanding of CNN concepts and experience with deep learning models such as YOLO. Ability to prototype, evaluate, and incorporate the latest ML advancements, particularly in OCR. Experience in NLP tasks, including Named Entity Recognition (NER), text classification. Experience with Large Language Models (LLMs). This role is for those who are enthusiastic about pushing the boundaries of what's possible in CV-NLP, leveraging both established and cutting-edge methodologies. Benefits We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age. Show more Show less

Key Responsibilities Solution Architecture & Development: Design end-to-end solutions using Node.JS (backend) and Vue.JS (frontend) for custom portals and administration interfaces. Integrate Azure AI services , Google OCR , and Azure OCR into client workflows. AI/ML Engineering: Develop and optimize vision-based AI models ( Layout Parsing/LP, Layout Inference/LI, Layout Transformation/LT ) using Python . Implement NLP pipelines for document extraction, classification, and data enrichment. Cloud & Database Management: Architect and optimize MongoDB databases hosted on Azure for scalability, security, and performance. Manage cloud infrastructure (Azure) for AI workloads, including containerization and serverless deployments. Technical Leadership: Lead cross-functional teams (AI engineers, DevOps, BAs) in solution delivery. Troubleshoot complex technical issues in OCR accuracy, AI model drift, or system integration. Client Enablement: Advise clients on technical best practices for scaling AI solutions. Document architectures, conduct knowledge transfers, and mentor junior engineers. Required Technical Expertise Frontend/Portal: Vue.JS (advanced components, state management), Node.JS (Express, REST/GraphQL APIs). AI/ML Stack: Python (PyTorch/TensorFlow), Azure AI (Cognitive Services, Computer Vision), NLP techniques (NER, summarization). Layout Engineering : LP/LI/LT for complex documents (invoices, contracts). OCR Technologies: Production experience with Google Vision OCR and Azure Form Recognizer . Database & Cloud: MongoDB (sharding, aggregation, indexing) hosted on Azure (Cosmos DB, Blob Storage, AKS). Infrastructure-as-Code (Terraform/Bicep), CI/CD pipelines (Azure DevOps). Experience: 10+ years in software development, including 5+ years specializing in AI/ML, OCR, or document automation . Proven track record deploying enterprise-scale solutions in cloud environments (Azure preferred). Preferred Qualifications Certifications: Azure Solutions Architect Expert , MongoDB Certified Developer , or Google Cloud AI/ML. Experience with alternative OCR tools (ABBYY, Tesseract) or AI platforms (GCP Vertex AI, AWS SageMaker). Knowledge of DocuSign CLM , Coupa , or SAP Ariba integrations. Familiarity with Kubernetes , Docker , and MLOps practices.

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. Position Name EY- Assurance – Senior - Digital Position Level Senior Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Requirements (including experience, skills, and additional qualifications) Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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 Inox Solar Limited Grade / Level V Division / Department Finance & Accounts Job Purpose 1. Preparation of budget and monitoring the actual performance and analyze the variance over budget. 2. Report Automation with help of IT team. 3. Preparation of process wise costing and variance analysis. 4. Proficient in preparation of different MIS reports. 5. Interaction with cost & statutory auditors. 6. Proficient in preparation of different MIS report. 7. Data collection, summarization and analysis with commentary on reports for management. 8. Decision making analysis (i.e., make or buy decision, optimum product mix, investment pay back, IRR and ARR). 9. Plant fixed cost monitoring report 10. Raw material quarterly audit. 11. Warehouse FG quarterly audit. 12. MIS on COPQ tracking. (RM wastages, FG Downgrades) Skills and academic qualifications Educational Qualifications Minimum Qualification - CA/CA Inter Preferred Qualification - CA Functional Skills Functional Skills Required - Sound understanding of accounting practices and standards. ? Hands on in SAP – FICO /MM module. ? Knowledge of SAP/SAP- Hana and transaction flow in SAP from module to module. ? Working knowledge of IT, accountancy, budgeting and scheduling software. Technical Skills required - Hands on in SAP – FICO /MM module. Relevant and total experience Total Number of experience required - A minimum of 2 years of experience is required in a similar kind of profile. Relevant experience required in - A minimum of 2 years of experience is required in a similar kind of profile.

Ahmedabad Full Time Assistant Manager / Manager - Plant HR OBJECTIVE To support the Factory Operations by ensuring systematic implementation of HR strategy and processes in the factory to leverage human resources for higher people productivity, build high quality Teams, focus on cost optimization and harmonious industrial relations. LEGAL & STATUTORY COMPLIANCE To ensure 100% compliance to all the Statutes applicable to Factory and also with all work norms and work practices agreed in Long Term Settlement. Ensure 100% compliance to the Workplace Rights Policy (WRP) guidelines. WELFARE Take ownership in ensuring the welfare facilities such as Canteen, Restroom, Toilets and other requirements are provided as per the Factories Act, 1948 and maintain well in line with the Company philosophy. Ensure to drive equality in applicability of these facilities among all categories of employees including Contract Labour. Handling all statutory compliances /Audits I.e. Wages Act, Bonus Act, Gratuity Act, CLA etc., liasioning with Labour, Factory, Weight & Measuring, and Pollution authorities for day-to-day issues. Responsible/ Ensuring for all 02 manufacturing plants on time Statutory Compliances and semi-governmental agency compliance i.e. Factories Act, Employment Exchange Act, I D Act other Labour & Industrial Laws. Independent look after the audits Conducted by Various Department i.e (ESIC, PF, Factory, labour Department, Conducting statutory and social Audits of Units, Contractor’s Social and Statutory Compliances Audits etc. Drafting, vetting and pleading of Written Statements, replies of application, cases, agreements, application, deeds and other company docs as and when required etc. Preparing the legal cases MIS and represent before the management. Developing the HR plans and policies in conjunction with the company’s overall development plan i.e. adequate manpower deployment, Manpower succession Planning, Shop Floor Management Etc. Maintaining good internal communication within and outside the company. Introduced new different benefit plans for the employees like Medical, accidental and group gratuity scheme. Manpower optimization utilization and deployment in all plants, Cost, and General Administration of the Plants level. Examining the contractor’s bills and giving approval for final payments; Attendance System of both Permanent and Contractual employees and Salary Preparation of all the Permanent employees. Ensuring resolution of employee grievance and examining the grievances under grievance- redressal system. Supervising activities of Canteen, Rest Room, Ambulance and Dispensary etc. Complies the Welfare amenities to the employees under the schemes rule by Labour Welfare Board. Mediclaim Insurance and Accidental policy of all Employees. Maintain & Update the different types of registers/Forms required under various Labour Laws and Laisoning with Govt. authorities. Tracking of leave Records (Causal, Sick and Earned Leave), records of Salary Sheets, Salary Slips, Over Time, Compensatory Holidays, Incentives on monthly basis, Leave Encashment, Med claim etc. TALENT ACQUISITION Ensure timely hiring of 150 Employees for new Projects expansion Ensure timely Releasing offer letters / appointment letters. Facilitating joining formalities, conducting Induction / orientation program to management, staff, company & company policies. Planning of overall recruitment process within the approved recruitment budget. Analysis of Competency mapping & workmen category skill set. Managed various Campus Recruitment and initiating the DET Concept In the Organisation. Hired More than 300 DET Within the Region as per business Plan. PERFORMANCE MANAGEMENT SYSTEM Managing & Ensuring the Plant KRAs – Defining, Mid-Year review & Year End Review Proposing the Bell curve as a part of annual appraisal to the Management SDP (succession Development Plans) & its Execution & Validation of Hipots Oversee smooth implementation of HR policies for Manpower Planning, Recruitment, Induction& Orientation and Training & Development. Organizing training about new policies and new projects, Discipline, Self-motivation, leadership etc. training needs & annual training plan. Maintain good Liaison with Various Government of Gujarat Authorities & local bodies. Strengthen the Audits & Activities related to Shop Floor Management for healthy work environment & ensure the Safety, 5’S & Discipline, Ensured smooth shop floor running without any manpower shortage. Implementation of SAP and attendance/payroll software; Led zero accident and 100% safe environment at shop floor. Oversee Implementation of Kaizen activities at all the levels through total employee involvement, (Kaizen Competitions – Internal & External). Facilitating the Performance Management process including normalization and compliance in coordination with Business Heads and the Talent Management Team. Handling Performance Appraisal process & identifying scope for enhancement through the evaluation of KRA and summarization report submit to top management for approval. Prepare career growth plan for high potential employees based on competency mapping, PMS and making Succession Planning accordingly. Delivered 7% cut in manpower budget by time to time re calibrating HR processes. PLANT ADMINISTRATION Monitoring & controlling all administration related activities of plants including 5’S, Security, company’s transport, canteen, guest house etc. Led cost cutting in administration costs by 10% by re calibrating the administrative process. Institutionalized manpower planning and contractual manpower. Led project on plant productivity and HR MIS. implementation of SAP and attendance/payroll software Annual Budget Planning . Daily Monitoring of Manpower, Overtime, & Productivity to control the Manpower Cost as per Budget. Developing and keep alive various reports for management, which make it easy to make decisions regarding the current resources, planning, new projects, and so many other management decisions. Monthly MIS Generation, includes recruitment, attrition, training, PMS, Manpower cost, Department KRA & Regional KRA etc. OTHER INFORMATION Location of Position Factory and Corporate Location A-3/6/7, Swagat Industrial Park-1, Bakrol(Bujrang), AHMEDABAD

🚀 About Adalat AI Adalat AI is reimagining India's judicial infrastructure through cutting-edge AI. From courtroom transcription to case summarization, we're building the end-to-end justice tech stack that powers faster, fairer courts — just like UPI did for payments and Aadhaar for identity. We've deployed our speech recognition and legal understanding tools in 10 states, with recent launches at the Delhi High Court and partnerships backed by leading global foundations. Our founding team blends deep experience across law, AI, and NLP — with alumni from Harvard, MIT, Oxford, and IIIT-H — and we've been recognized by the world's top accelerators and competitions for our impact. 👩‍💻 About the Role We're hiring a Frontend Engineer to lead and build the core UI for our courtroom transcription platform. This is not a generic dashboard gig — you'll work on real-time audio playback, legal text editing, and UX for busy judges. You'll also help shape our design system and collaborate with a small team of elite builders shipping impactful features fast. 🔧 Responsibilities Build and maintain production-grade frontends using Next.js, TypeScript, and TailwindCSS Implement seamless UX for audio recording, playback, and rich-text editing Collaborate closely with backend and design teams to ship end-to-end features Uphold code quality through reviews and testing (Playwright / unit tests) Proactively suggest and prototype new ideas to improve the product 👀 You Might Be a Fit If You... Have 3–6 years of experience working on production JS/TS codebases Have shipped complex UIs and helped scale frontend architecture Are obsessive about reducing user pain and improving speed and accessibility Have experience working with or building design systems Bonus: Experience working with audio APIs or rich-text editors 🌱 After One Year, You'll Have... Shipped a robust legal transcription interface used in courts across India Developed expertise in audio processing and playback on the web Helped build a design system that's accessible and loved by real-world users Contributed meaningfully to improving access to justice at scale 🎁 Perks & Benefits Remote-first with flexible hours Unlimited PTO Generous maternity/paternity leave Close access to global academic ecosystems (Harvard / MIT / Oxford) Smart, humble, driven team Opportunities for learning, growth, and real ownership 📬 Apply Now Reach out to: Arghya Bhattacharya or Prakhar Goel 📧 arghya@adalat.ai | 📧 prakhar@adalat.ai | More Details here: https://adalat-ai.notion.site/Adalat-AI-Senior-Frontend-Engineer-d08cf7c19a464570ad403ce854a3dc5e?pvs=74 Show more Show less

About this Opportunity It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G network with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are setting up a AI Accelerator Hub in India, to fast-track our strategy execution. Machine Intelligence, the combination of Machine Learning and other Artificial Intelligence technologies is what Ericsson uses to drive thought leadership to automate and transform Ericsson offerings and operations. MI is also a key competence for to enable new and emerging business. This includes development of models, frameworks and infrastructure where we in our advancements push the technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the Industry by developing state of the art solutions that simplify and automate processes in our products and services and build new value through data insights. Ericsson is now looking for Senior Data Scientists to significantly expand its global team for AI acceleration for our group in Bangalore . Do you have in depth understanding of Machine Learning and AI technologies? Do you want to apply and extend those skills to solve real complex problems with high societal impact; going beyond ML/AI for consumption and advertising? Then, you do want to join Ericsson’s global team of Engineers/Scientists pushing the technology frontiers to automate, simplify and add new value through large and complex data. What you will do As a Senior Data Scientist , you will need to have deep knowledge of data science and Machine Learning tools and technologies backed with strong programming skills to implement them. Your knowledge and experience in Data Science methodologies will be applied to solve challenging real-world problems as part of a highly dynamic and global team. You will work in a highly collaborative environment where you communicate and plan tasks and ideas. You will be working on high impact initiatives with other DS in Machine Intelligence to drive growth and economic profitability for Ericsson and its customers by accelerating current Ericsson offerings. Your contribution will also help to create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses. Key Responsibilities: Lead AI/ML feature/capability in a certain functional area of product/business Define the business metrics of success for AI/ML projects and translate them into model metrics Lead end-to-end development and deployment of Generative AI solutions (e.g., LLMs, diffusion models, RAG pipelines) for enterprise-scale use cases using MLOps platforms like Amazon Sagemaker, Bedrock. Design and implement architectures for vector search, embedding models, and Retrieval-Augmented Generation (RAG) systems using modern frameworks and tools (e.g., FAISS, Pinecone, LangChain). Fine-tune and evaluate large language models (LLMs) for domain-specific tasks such as text summarization, Q&A, content generation, and chat interfaces. Collaborate with product, engineering, and business stakeholders to translate vague problems into concrete Generative AI use cases with measurable impact. Develop secure, scalable, and production-grade AI pipelines for both batch and real-time generative use cases. Ensure ethical and responsible AI practices, including bias detection, explain ability, and content safety in generative outputs. Mentor junior team members in GenAI frameworks, best practices, and model performance tuning. Stay current with research and industry trends in Generative AI, LLMs, prompt engineering, and multimodal AI, applying cutting-edge techniques to business problems. Contribute to internal AI governance, tooling frameworks, and reusable components for accelerating GenAI development across teams. Work with huge datasets including petabytes of 4G/5G-networks, IoT and exogenous data Propose/select/test predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning, computer vision, text mining, reinforcement learning and other ML systems Define the visualization and dashboarding requirements working closely with the business stakeholders Build proof-of-concepts for business opportunities using AI/ML and present them to business Lead functional and technical analysis within Ericsson businesses to define AI/ML driven business opportunities and build appropriate solutions Work with multiple data sources (internal/external as well as structured/unstructured) and apply the right feature engineering to AI based models Lead studies and creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones as needed. What you will bring Minimum Experience Required - 7 years Job Location - Bangalore Bachelors/Masters/Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction. Applied experience: 3+ years of ML and/or AI production level experience Strong Programming skills (R/Python) with proficiency in at least one Proven ability of leading AI/ML projects end-to-end with complete ownership Able to map the business metrics of success for AI/ML projects to model metrics Strong grounding in mathematics, probability, statistics needed for data analysis and experiments Strong hands-on experience with exploratory data analysis and visualization techniques Strong and hands-on in the use of current Machine Learning frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Ability to implement new algorithms and methodologies from leading open source initiatives and research papers Ability to work with semi-structured and unstructured data sets for AI/ML models Strong understanding of building AI models using Deep Neural Networks Strong hands-on experience in implementing a variety of Machine Learning techniques including model selection, validation, regularization and hyperparameter tuning Good Knowledge of using ensembles and stacking techniques to solve complex ML problems Hands on working in Big Data technologies such as Hadoop, Cassandra etc. Able to source data from multiple data sources and combine them appropriately to build ML models. Preferred Qualifications: Good communication skills in written and spoken English Creativity and ability to formulate problems and solve them independently Certifying MI MOOCS, a plus Applications/Domain-knowledge in Telecommunication and/or IoT, a plus. Experience with data visualization and dashboard creation is a plus Knowledge of Cognitive models is a plus Ability to work independently with high energy, enthusiasm and persistence Experience in partnering and collaborative co-creation, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence. Show more Show less

Heaps is one of the fastest growing health tech start-ups in India today. With more than 5 million patient interactions till date, Heaps is revolutionising how insurers, doctors and patients experience health care. We are building an AI driven end-to-end care management platform which coordinates, tracks and monitors the health of the patient empowering them with the right information to take right decisions at the right time about their health. Heaps is backed by marquee investors - titans in the healthcare industry who have invested more than $7.4 million in Series A funding. Heaps is on a path for global scaling, we’ve already expanded in 5 countries across the globe. Are you a data scientist with a knack for problem solving and crisp communication? Data science team at Heaps is chartered to drive analytics/machine learning programs across the organisation. Heaps is looking for experienced Data Scientists who will be at the forefront of developing products/solutions for insurance/hospital clients across the globe. You will be responsible to drive use cases and analytics assignments to help the clients uncover actionable insights from the data which will lead to improved care for the patients. Responsibilities Understand business problems and work on the statistical and analytical approach required for the solution Work on various steps of a data science project - Data mining and Exploratory Data Analysis (EDA), Feature Engineering, Statistical modelling, integration with AI/ML platform, visualisation and result inferencing and presentation to stakeholders Leverage machine learning techniques such as regression, classification, clustering, bayesian algorithms, matrix factorization, graphical models, to contribute to the execution of our vision for ML-based technology solutions Leverage advanced NLP algorithms/architectures to build custom models for entity extraction and concept recognition, relation extraction, summarization, textual classification and clustering, etc. Collaborate with business stakeholders to effectively integrate and communicate analysis findings Qualifications 2-3 years of prior data science experience Data science programming languages and querying databases: Python, SQL/HIVE Deep understanding of various statistical/ML techniques Expertise in the use of cloud based infrastructure to manage the volume and veracity of complex data streams Basic knowledge of API frameworks like Flask/Fastapi, version control systems like Git and cloud platform like AWS/GCP Show more Show less

Job Description Position Title Assisstant Manager MIS & Costing Company Inox Solar Limited Grade / Level V Division / Department Finance & Accounts Job Purpose Preparation of budget and monitoring the actual performance and analyze the variance over budget. Report Automation with help of IT team. Preparation of process wise costing and variance analysis. Proficient in preparation of different MIS reports. Interaction with cost & statutory auditors. Proficient in preparation of different MIS report. Data collection, summarization and analysis with commentary on reports for management. Decision making analysis (i.e., make or buy decision, optimum product mix, investment pay back, IRR and ARR). Plant fixed cost monitoring report Raw material quarterly audit. Warehouse FG quarterly audit. MIS on COPQ tracking. (RM wastages, FG Downgrades) Educational Qualifications Skills and academic qualifications Minimum Qualification - CA/CA Inter Preferred Qualification - CA Functional Skills Functional Skills Required - Sound understanding of accounting practices and standards. ? Hands on in SAP – FICO /MM module. ? Knowledge of SAP/SAP- Hana and transaction flow in SAP from module to module. ? Working knowledge of IT, accountancy, budgeting and scheduling software. Technical Skills required - Hands on in SAP – FICO /MM module. Relevant and total experience Total Number of experience required - A minimum of 2 years of experience is required in a similar kind of profile. Relevant experience required in - A minimum of 2 years of experience is required in a similar kind of profile. Apply Show more Show less

Ahmedabad Full Time Assistant Manager / Manager - Plant HR OBJECTIVE To support the Factory Operations by ensuring systematic implementation of HR strategy and processes in the factory to leverage human resources for higher people productivity, build high quality Teams, focus on cost optimization and harmonious industrial relations. LEGAL & STATUTORY COMPLIANCE To ensure 100% compliance to all the Statutes applicable to Factory and also with all work norms and work practices agreed in Long Term Settlement. Ensure 100% compliance to the Workplace Rights Policy (WRP) guidelines. WELFARE Take ownership in ensuring the welfare facilities such as Canteen, Restroom, Toilets and other requirements are provided as per the Factories Act, 1948 and maintain well in line with the Company philosophy. Ensure to drive equality in applicability of these facilities among all categories of employees including Contract Labour. Handling all statutory compliances /Audits I.e. Wages Act, Bonus Act, Gratuity Act, CLA etc., liasioning with Labour, Factory, Weight & Measuring, and Pollution authorities for day-to-day issues. Responsible/ Ensuring for all 02 manufacturing plants on time Statutory Compliances and semi-governmental agency compliance i.e. Factories Act, Employment Exchange Act, I D Act other Labour & Industrial Laws. Independent look after the audits Conducted by Various Department i.e (ESIC, PF, Factory, labour Department, Conducting statutory and social Audits of Units, Contractor’s Social and Statutory Compliances Audits etc. Drafting, vetting and pleading of Written Statements, replies of application, cases, agreements, application, deeds and other company docs as and when required etc. Preparing the legal cases MIS and represent before the management. Developing the HR plans and policies in conjunction with the company’s overall development plan i.e. adequate manpower deployment, Manpower succession Planning, Shop Floor Management Etc. Maintaining good internal communication within and outside the company. Introduced new different benefit plans for the employees like Medical, accidental and group gratuity scheme. Manpower optimization utilization and deployment in all plants, Cost, and General Administration of the Plants level. Examining the contractor’s bills and giving approval for final payments; Attendance System of both Permanent and Contractual employees and Salary Preparation of all the Permanent employees. Ensuring resolution of employee grievance and examining the grievances under grievance- redressal system. Supervising activities of Canteen, Rest Room, Ambulance and Dispensary etc. Complies the Welfare amenities to the employees under the schemes rule by Labour Welfare Board. Mediclaim Insurance and Accidental policy of all Employees. Maintain & Update the different types of registers/Forms required under various Labour Laws and Laisoning with Govt. authorities. Tracking of leave Records (Causal, Sick and Earned Leave), records of Salary Sheets, Salary Slips, Over Time, Compensatory Holidays, Incentives on monthly basis, Leave Encashment, Med claim etc. TALENT ACQUISITION Ensure timely hiring of 150 Employees for new Projects expansion Ensure timely Releasing offer letters / appointment letters. Facilitating joining formalities, conducting Induction / orientation program to management, staff, company & company policies. Planning of overall recruitment process within the approved recruitment budget. Analysis of Competency mapping & workmen category skill set. Managed various Campus Recruitment and initiating the DET Concept In the Organisation. Hired More than 300 DET Within the Region as per business Plan. PERFORMANCE MANAGEMENT SYSTEM Managing & Ensuring the Plant KRAs – Defining, Mid-Year review & Year End Review Proposing the Bell curve as a part of annual appraisal to the Management SDP (succession Development Plans) & its Execution & Validation of Hipots Oversee smooth implementation of HR policies for Manpower Planning, Recruitment, Induction& Orientation and Training & Development. Organizing training about new policies and new projects, Discipline, Self-motivation, leadership etc. training needs & annual training plan. Maintain good Liaison with Various Government of Gujarat Authorities & local bodies. Strengthen the Audits & Activities related to Shop Floor Management for healthy work environment & ensure the Safety, 5’S & Discipline, Ensured smooth shop floor running without any manpower shortage. Implementation of SAP and attendance/payroll software; Led zero accident and 100% safe environment at shop floor. Oversee Implementation of Kaizen activities at all the levels through total employee involvement, (Kaizen Competitions – Internal & External). Facilitating the Performance Management process including normalization and compliance in coordination with Business Heads and the Talent Management Team. Handling Performance Appraisal process & identifying scope for enhancement through the evaluation of KRA and summarization report submit to top management for approval. Prepare career growth plan for high potential employees based on competency mapping, PMS and making Succession Planning accordingly. Delivered 7% cut in manpower budget by time to time re calibrating HR processes. PLANT ADMINISTRATION Monitoring & controlling all administration related activities of plants including 5’S, Security, company’s transport, canteen, guest house etc. Led cost cutting in administration costs by 10% by re calibrating the administrative process. Institutionalized manpower planning and contractual manpower. Led project on plant productivity and HR MIS. implementation of SAP and attendance/payroll software Annual Budget Planning . Daily Monitoring of Manpower, Overtime, & Productivity to control the Manpower Cost as per Budget. Developing and keep alive various reports for management, which make it easy to make decisions regarding the current resources, planning, new projects, and so many other management decisions. Monthly MIS Generation, includes recruitment, attrition, training, PMS, Manpower cost, Department KRA & Regional KRA etc. OTHER INFORMATION Location of Position Factory and Corporate Location A-3/6/7, Swagat Industrial Park-1, Bakrol(Bujrang), AHMEDABAD

Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Experience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications 3–6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus Show more Show less

Job Summary As a Data Scientist specializing in NLP, Generative AI, and Cloud technologies, you will be responsible for designing, developing, and deploying data extraction pipelines from documents. You will use state-of-the-art machine learning models, NLP techniques, and cloud platforms to improve automation, data quality, and overall decision-making processes. This role requires strong technical expertise, creative problem-solving, and hands-on experience with cloud technologies. Key Responsibilities Design and implement advanced NLP models to extract structured data from unstructured document formats (e.g., PDFs, Word, scanned images, emails, etc.). Leverage Generative AI techniques for data enhancement, content summarization, and document generation where necessary. Develop, fine-tune, and deploy machine learning models to enhance document understanding and automate data extraction processes. Collaborate with engineering teams to integrate NLP models into cloud-based data pipelines and workflows (AWS, Azure, or GCP). Build scalable and efficient data extraction workflows, ensuring high accuracy and performance of models. Conduct end-to-end data science activities, from data collection, cleaning, and exploration, to feature engineering and model deployment. Ensure the security, scalability, and compliance of data processing solutions deployed in the cloud. Evaluate and improve existing document extraction tools and processes, suggesting innovative solutions. Stay updated on the latest trends in NLP, Generative AI, and Cloud technologies, applying these advancements to enhance model performance and operational efficiency. Required Skills & Qualifications Minimum of 5 years of hands-on experience in Data Science, with a focus on NLP, machine learning, and AI. Strong proficiency in Python and libraries like SpaCy, NLTK, Hugging Face Transformers, and TensorFlow/PyTorch. Deep knowledge of document processing techniques, including OCR, text extraction, and document classification. Experience with Generative AI models (e.g., GPT, BERT) and their application in data extraction or document processing tasks. Expertise in cloud technologies (AWS, Azure, GCP) for building and deploying data-driven solutions. Proficiency in data manipulation and analysis using libraries like Pandas, NumPy, and SQL. Hands-on experience with model deployment frameworks and tools like Docker, Kubernetes, or MLFlow. Familiarity with version control (Git), CI/CD processes, and Agile development practices. Strong problem-solving skills, with the ability to design innovative solutions for complex document extraction challenges. Excellent communication skills and ability to work in cross-functional teams. Preferred Qualifications Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or related field. Experience with Large Language Models (LLMs) and advanced NLP techniques such as transfer learning and few-shot learning. Familiarity with document management systems (DMS) or enterprise content management (ECM) platforms. Experience with deploying and scaling machine learning models in production environments. Understanding of data privacy regulations and secure processing of sensitive information. Show more Show less

Responsibilities Implement, and optimize AI/ML models and algorithms with a focus on Agentic AI and Retrieval-Augmented Generation (RAG). Implement scalable machine learning models and algorithms to solve complex challenges. Research and integrate the latest AI tools and frameworks into existing systems. Stay up-to-date with advancements in AI/ML research and apply them to practical problems. Experiment with and implement Generative AI technologies across multiple domains. Leverage cloud platforms like Google Cloud, AWS, and Azure for scalable AI/ML deployments. Utilize open-source large language models (LLMs) such as LLama3 in AI application development. Key Skills Strong understanding of Agentic AI concepts and applications. Hands-on experience with Retrieval-Augmented Generation (RAG) models. Expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with Large language models (e.g., GPT-4, LLama, Amazon Bedrock) and integrating them into production systems. Proficiency in programming languages such as Python, and familiarity with libraries like Hugging Face Transformers, langchain and llama index. Experience in building and deploying AI/ML solutions using cloud platforms (AWS, GCP, Azure). Knowledge of data retrieval, natural language processing (NLP), and reinforcement learning techniques. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Experience with model optimization, fine-tuning, and inference strategies to improve system performance. Preferred Skills Experience with advanced NLP tasks like text generation, summarization, and question answering, familiarity with reinforcement learning algorithms and their application in intelligent agent design. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Background in computer vision and image generation techniques. If you're passionate about AI/ML and excited about contributing to the future of intelligent systems with Generative AI technologies, we encourage you to apply! Join us in shaping the next generation of AI-driven innovation. Show more Show less

Data Scientist Location : Hyderabad, India Reports to : Line Manager in the Organization Department : Data Science Type of Position : Full Time About us: Pragmatic Play is a leading content provider to the iGaming and Betting Industry, offering a multi-product portfolio that is innovative, regulated and mobile-focused. Pragmatic Play strives to create the most engaging and evocative experience for customers globally across a range of products, including slots, live casino, sports betting, virtual sports and bingo. Pragmatic Play India Pvt. Ltd. is the Indian subsidiary of Pragmatic Play Ltd. We are seeking a talented and experienced Data Scientist with strong experience in ML powered search - Semantic search, Learning to Search Ranking (LTR), AutoComplete & Spell check, Query Understanding & augmentation, Natural language search. The ideal candidate will possess in-depth knowledge and experience in different problems such as image classification, object detection, semantic segmentation, text summarization, language models, etc. Key Responsibilities Design, develop and implement advanced algorithms for ML Based search. Designed and develop algorithm for search ranking, spell check, auto complete and session level personalization. Improve overall customer experience by optimizing the response time, architecture, algorithms and models. Implement different kind of personalization i.e. user level, session level and region level. Develop API keeping in mind for low internet bandwidth customers. Design large-scale AI/ML systems end-to-end in a very fast-paced environment. Integrate AI/ML systems into existing data pipelines and systems. Identify areas of improvement in existing solutions. Key Skills Strong experience in statistical analysis, Machine learning and deep learning techniques, particularly those related to computer vision and natural language processing (NLP). Proven track record of deploying scalable machine learning models in real-world applications Strong problem-solving skills and the ability to translate business requirements into analytical solutions. Prior experience in handling very large transactional datasets across different business functions. A self-starter and self-motivated individual who can work independently with other teams. Outstanding verbal and written communication skills Passion to stay updated with the latest advancements in AI, deep learning, generative AI and related system design areas. Lead research initiatives to explore new methodologies, tools, and technologies. Preferred Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or a related field. Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch. Familiarity with key deep learning metrics and optimization techniques. Strong Knowledge of version control systems, particularly Git. If you are a skilled Data Scientist who has passion to work in a fast-paced environment, have an eye for details and ready to experiment new things, we encourage you to apply and be part of our dynamic and innovative team and organization. What We Offer competitive compensation depending on experience Opportunities for professional and personal development Opportunities to progress within a dynamic team. Chance to work with close and collaborative colleagues Comprehensive health coverage About Pragmatic Play We are a leading game developer providing player-favorites to the most successful global brands in the iGaming industry. Powering up new possibilities of play through one single API, we offer a multi-product portfolio of award-winning slots, live casino, bingo, virtual sports, sportsbook and more, available in all major regulated markets, languages and currencies. Driven by a persistence to craft immersive experiences and responsible thrills, our professional team consistently delivers best-in-class services with a dedication to create games that players love time and time again. OUR VALUES PERSISTENCE We never give up and are determined to be the best at what we do. RESPECT We value and respect our clients, their players, and our team members; promoting professionalism, integrity and fairness without compromise. OWNERSHIP We take ownership of our work and consistently deliver in a reliable manner; always providing the highest level of quality. 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 looking for a creative and driven AI/ML Engineer to design, develop, and deploy advanced machine learning models. You will work on transformers (e.g., GPT , BERT ), OpenAI models, and other deep learning solutions for real-world applications. If you're ready to push boundaries in AI, we want to hear from you! Experience Required: Minimum 1 Year Mode of Work: On-Site Only (Mohali, Punjab) Contact for Queries: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Note: This number will be unavailable on weekends and public holidays. Key Responsibilities: Develop LLMs (e.g., GPT , BERT ) for NLP tasks such as text generation, summarization, and language translation. Build and optimize deep learning models for Generative AI applications in areas such as image , text , and speech generation . Apply reinforcement learning , unsupervised learning , and semi-supervised learning techniques to enhance model performance. Experiment with cutting-edge models such as GANs , diffusion models , and OpenAI models for generative tasks and advancements in AI. Collaborate with cross-functional teams to integrate AI/ML solutions into production using cloud platforms (e.g., AWS , GCP , Azure ). Stay up-to-date with the latest advancements in AI/ML, including emerging trends in NLP , transformers , and generative models . Handle large-scale datasets, performing data preprocessing , feature engineering , and model evaluation to ensure high-quality solutions. Present your findings and innovative solutions to both technical and non-technical audiences. Requirements: Degree in Computer Science , Data Science , Machine Learning , or a related field. Proven experience in building and deploying AI/ML models , with a strong foundation in deep learning and machine learning techniques. Proficiency in programming languages such as Python . Expertise in LLMs (e.g., GPT , BERT ) and transformer architectures . Experience with OpenAI APIs and models (e.g., GPT3 , GPT4 , GPT4o , ). Hands-on experience with deep learning frameworks like TensorFlow , PyTorch , Keras , and Scikit-learn . Solid knowledge of NLP , computer vision , and other key AI sub-domains . Experience deploying and scaling models on cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical thinking skills. Preferred Qualifications: Hands-on experience with Generative AI models (e.g., GANs , Diffusion Models ). Experience with real-time deployment of LLMs in applications such as chatbots , virtual assistants , and language translation . Familiarity with OpenAI's products, tools, and APIs. Experience with containerization (e.g., Docker ). Research publications or contributions to open-source AI projects are a plus. Experience : Minimum of 1 YEAR Experience. Mode of Work : On-site For queries, contact : +91 -9872993778 (Mon-Fri, 11 AM - 6 PM). Note :- This number will be unavailable on weekends and public holidays. Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Monday to Friday Application Question(s): How many years of experience do you have as AI/ML Engineer Work Location: In person

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Consultant , AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais , StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais, StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 4, 2025, 6:34:09 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Required Skills & Qualifications: 0–1 years of experience in AI/ML with a focus on Python-based development . Strong understanding of ML fundamentals and experience using frameworks like Hugging Face Transformers . Exposure to Gen-AI tools such as OpenAI (GPT-3.5/4), Claude, LLaMA, or similar APIs. Understanding of NLP tasks such as summarization, sentiment analysis, entity recognition, etc. Curiosity and ability to stay current with research papers, GitHub projects, and AI trends. Preferred (Nice to Have): Hands-on experience with RAG , Vector Databases (like FAISS, ChromaDB, Pinecone). Knowledge of prompt engineering , tokenization , attention mechanisms , and transformers . Exposure to multi-modal models , LLM orchestration , or chatbot development . Familiarity with cloud services (AWS, GCP, or Azure) and containerized deployments (Docker). Show more Show less

Job Summary As a Senior Data Scientist specializing in NLP, Generative AI, and Cloud technologies, you will be responsible for driving the development of data extraction solutions from documents at scale. This role requires advanced technical expertise in machine learning, NLP, and cloud computing, with a focus on automating document understanding processes and enhancing the quality of data extraction through state-of-the-art techniques. You will lead the design, implementation, and deployment of scalable NLP and AI models, mentor junior data scientists, and work collaboratively with cross-functional teams to deliver innovative solutions. This is a strategic role that requires both deep technical knowledge and leadership capabilities to shape the future of document data extraction within the organization. Key Responsibilities Lead Data Extraction Solutions: Design, implement, and scale advanced NLP and machine learning models for automating the extraction of structured data from a wide range of unstructured documents (e.g., PDFs, scanned images, contracts, reports, etc.). Generative AI Expertise: Leverage Generative AI models (such as GPT, BERT, and related architectures) for tasks such as document summarization, content generation, and enhancing extracted data. Cloud-Based Deployment: Architect and deploy data extraction models and workflows in cloud environments (AWS, Azure, GCP), ensuring scalability, reliability, and cost-efficiency. Model Development & Optimization: Develop and fine-tune machine learning and NLP models, ensuring high performance in accuracy, efficiency, and robustness for real-world data extraction tasks. Data Pipeline Design: Build and optimize end-to-end data pipelines, including data preprocessing, feature engineering, and model deployment, to process large-scale document datasets in the cloud. Cross-Functional Collaboration: Work closely with product, engineering, and business teams to understand requirements, provide technical solutions, and deliver impactful data-driven results. Research & Innovation: Stay up-to-date with the latest advancements in NLP, machine learning, and AI, applying cutting-edge research to improve data extraction methodologies. Mentorship & Leadership: Lead and mentor a team of junior data scientists, providing guidance on best practices, model development, and cloud deployment. Model Monitoring & Maintenance: Establish systems for monitoring model performance in production and ensure models are maintained and updated based on new data or changing requirements. Compliance & Security: Ensure data processing and extraction workflows adhere to industry standards, data privacy regulations, and security protocols, particularly when working with sensitive information. Required Skills & Qualifications Experience: Minimum 8 years of experience as a Data Scientist or similar role, with a focus on NLP, machine learning, and AI. At least 3 years in a senior or lead capacity. NLP & Document Processing Expertise: Proven experience applying NLP techniques such as Named Entity Recognition (NER), Optical Character Recognition (OCR), information extraction, document classification, and semantic analysis for data extraction from unstructured text. Generative AI: Advanced knowledge of Generative AI models (e.g., GPT-3, BERT, T5) and experience applying them to real-world document and text processing tasks. Cloud Technologies: Extensive experience with cloud platforms (AWS, Azure, or GCP) for deploying data pipelines, managing machine learning models, and processing large datasets. Programming Skills: Proficiency in Python and libraries such as SpaCy, Hugging Face Transformers, TensorFlow, PyTorch, and scikit-learn. Data Pipeline & DevOps Tools: Hands-on experience with building, optimizing, and deploying data pipelines in cloud environments, including tools like Docker, Kubernetes, Apache Airflow, and MLFlow. Data Handling & Analysis: Expertise in data manipulation and analysis using tools such as Pandas, NumPy, and SQL, and ability to work with large datasets. Leadership & Communication: Strong leadership and mentoring abilities, with excellent written and verbal communication skills to explain complex technical concepts to non-technical stakeholders. Problem Solving: Exceptional problem-solving skills with a creative approach to tackling challenges related to document data extraction. Collaboration: Experience working in a collaborative, cross-functional team environment to deliver end-to-end solutions. Preferred Qualifications Advanced Degree: Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field. Advanced NLP Techniques: Experience with state-of-the-art NLP methods such as transfer learning, attention mechanisms, and reinforcement learning applied to document data extraction. Compliance Experience: Familiarity with legal, financial, or healthcare industry regulations regarding data privacy and document processing. Industry Experience: Previous experience in industries such as finance, legal, healthcare, or other sectors that heavily rely on document data extraction. Show more Show less

We are looking for a creative and driven AI/ML Engineer to design, develop, and deploy advanced machine learning models. You will work on transformers (e.g., GPT , BERT ), OpenAI models, and other deep learning solutions for real-world applications. If you're ready to push boundaries in AI, we want to hear from you! Experience Required: Minimum 1 Year Mode of Work: On-Site Only (Mohali, Punjab) Contact for Queries: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Note: This number will be unavailable on weekends and public holidays. Key Responsibilities: Develop LLMs (e.g., GPT , BERT ) for NLP tasks such as text generation, summarization, and language translation. Build and optimize deep learning models for Generative AI applications in areas such as image , text , and speech generation . Apply reinforcement learning , unsupervised learning , and semi-supervised learning techniques to enhance model performance. Experiment with cutting-edge models such as GANs , diffusion models , and OpenAI models for generative tasks and advancements in AI. Collaborate with cross-functional teams to integrate AI/ML solutions into production using cloud platforms (e.g., AWS , GCP , Azure ). Stay up-to-date with the latest advancements in AI/ML, including emerging trends in NLP , transformers , and generative models . Handle large-scale datasets, performing data preprocessing , feature engineering , and model evaluation to ensure high-quality solutions. Present your findings and innovative solutions to both technical and non-technical audiences. Requirements: Degree in Computer Science , Data Science , Machine Learning , or a related field. Proven experience in building and deploying AI/ML models , with a strong foundation in deep learning and machine learning techniques. Proficiency in programming languages such as Python . Expertise in LLMs (e.g., GPT , BERT ) and transformer architectures . Experience with OpenAI APIs and models (e.g., GPT3 , GPT4 , GPT4o , ). Hands-on experience with deep learning frameworks like TensorFlow , PyTorch , Keras , and Scikit-learn . Solid knowledge of NLP , computer vision , and other key AI sub-domains . Experience deploying and scaling models on cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical thinking skills. Preferred Qualifications: Hands-on experience with Generative AI models (e.g., GANs , Diffusion Models ). Experience with real-time deployment of LLMs in applications such as chatbots , virtual assistants , and language translation . Familiarity with OpenAI's products, tools, and APIs. Experience with containerization (e.g., Docker ). Research publications or contributions to open-source AI projects are a plus. Experience : Minimum of 1 YEAR Experience. Mode of Work : On-site For queries, contact : +91 -9872993778 (Mon-Fri, 11 AM - 6 PM). Note :- This number will be unavailable on weekends and public holidays. Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Monday to Friday Application Question(s): How many years of experience do you have as AI/ML Engineer Work Location: In person

Xinthe Technologies is a global software services and product engineering company that focuses on helping businesses stay relevant and thrive in a technology driven world. Job Title: Technical Lead - Computer Vision with Python Programming Location: Visakhapatnam Experience Required: 10+ years of total experience, with at least 8 years in relevant roles Education: B.Tech/ M. tech Job Description: We are seeking a highly skilled and experienced Technical Lead specializing in Computer Vision with Python Programming, with a focus on image and video processing. The ideal candidate will have a strong academic background, significant hands-on experience in computer vision, and a proven track record of lead ing technical teams. Key Responsibilities: Technical Lead ership: Lead a team of computer vision engineers and developers. Provide technical direction and mentorship to team members. Drive the design, development, and deployment of computer vision algorithms and applications. Project Management: Oversee project planning, execution, and delivery within stipulated timelines. Collaborate with cross-functional teams to ensure seamless integration of computer vision solutions. Manage stakeholder expectations and communicate project progress effectively. Research and Development: Stay updated with the latest advancements in computer vision, image processing, and video processing technologies. Conduct research to develop innovative solutions and improve existing methodologies. Publish findings in reputed journals and conferences. Software Development: Develop, optimize, and maintain Python-based computer vision codebases. Implement state-of-the-art machine learning algorithms for image and video analysis. Ensure code quality through rigorous testing and documentation. Image and Video Processing: Design and implement algorithms for image enhancement, restoration, and transformation. Develop solutions for video analysis, including object tracking, motion detection, and video summarization. Optimize processing pipelines for real-time performance. System Architecture: Design scalable and efficient architectures for computer vision systems. Integrate computer vision modules with other system components and services. Client Interaction: Understand client requirements and translate them into technical specifications. Present technical solutions and demonstrate product capabilities to clients. Provide post-deployment support and address client queries and issues. Required Skills and Qualifications Technical Skills: Proficiency in Python and its libraries (e.g., Open CV, TensorFlow, PyTorch). Strong understanding of computer vision concepts (e.g., object detection, image segmentation, feature extraction). Extensive experience in image processing (e.g., filtering, edge detection, image transformation). Significant experience in video processing (e.g., object tracking, motion analysis, video encoding/decoding). Familiarity with machine learning and deep learning frameworks. Experience with software development practices (e.g., version control, unit testing, continuous integration). Lead ership Skills: Proven ability to lead and mentor technical teams. Excellent project management and organizational skills. Communication Skills: Strong verbal and written communication skills. Ability to present complex technical information to non-technical stakeholders. Please revert to me with your updated CV or feel free to call me at 9963348886. Happy Working !! Show more Show less

Count on us. Our "we-care" culture is more than just a motto; it's a promise. From day one, we prioritize your growth, well-being, and success. You can count on us to support your career journey and help you achieve your professional goals. Join us. Within our investment banking group, our team focuses on providing merger and acquisition services to companies throughout North America and Europe. Since our inception, we have successfully completed more than 250 financial advisory engagements for a wide array of clients in virtually every business sector Who We Are. PMCF, a U.S. registered broker/dealer, is an investment bank providing merger and acquisition services to middle market companies throughout North America, Europe and Asia. Since being formed in 1995, our investment banking team has served a wide array of clients, including individual and family-owned businesses, large public companies, and private equity firms. Our Team Of Professionals Has More Than 230+ Years Of Industry Experience And Is Organized By Industry, With Specializations In Industrials, Plastics & Packaging, Business Services, Technology & Software, Consumer/Food/Retail, And Healthcare. We Bring Up-market Analysis, Strategy, And Capability To The Middle Market By Fostering a deep and trusting relationship with each client. Providing continuous senior-level involvement throughout the process. Developing supported positioning points aligned with value drivers and growth opportunities. Identifying potential impact risk factors and creating mitigating strategies. Leveraging the deep industry experience. Providing on-the-ground global coverage through our international colleagues through Corporate Finance International. As an affiliate of Plante Moran, one of the dozen largest accounting and professional services firms in the nation, we deliver an intimate knowledge of the middle market coupled with an array of services that rivals large, international investment banks. Simultaneously, we maintain a culture of independence and senior-level involvement that supports our middle-market clients and their financial needs. Your role. Responsibilities This position will assist in preparing various analytical and data-driven components for the development of M&A transactions. The candidate will be responsible for conducting various tasks in a format desired by the team in India and/or United States. These tasks include: Data Analytics: Preparation and summarization of data from raw client outputs in a more presentation-friendly and discernible format Financial Analysis: Assist in aspects of financial modeling including building financial statements from trial balances, and compiling and formatting financial statement analytics Market Research: Conduct comprehensive market research to identify and summarize key market trends and industry-specific dynamics Client Presentations: Assist in the preparation of client presentations and pitch materials Buyer Research: Perform in-depth buyer research to assess the suitability of prospective investors Other ad hoc research and presentation tasks Education & Experience. Bachelors’ or Master’s Degree in Accounting or Finance IPCC/PE II cleared and /or MBA Finance would be preferred Two years+ post-qualification experience with demonstrated knowledge of working in a similar function The Qualifications. Efficient use of research databases Business writing acumen to include proper grammar, style, and presentation Thorough financial statement analysis skills Strong analytical skills Outstanding time management and organization skills Superior attention to detail and conscientious quality of work product Ability to work under minimal supervision This is a non-exempt position, so you may have to work hours that exceed the standard 40-hour work week. This position may require travel. What makes us different? On the surface, we’re one of the nation’s largest audit, tax, consulting, and wealth management firms. But dig a little deeper, and you’ll see what makes us different: we’re a relatively jerk-free firm (hey, nobody ‘s perfect) with a world-class culture, consistent recognition as one of Fortune Magazine’s “100 Best Companies to Work For,” and an endless array of opportunities. At Plante Moran, diversity, equity and inclusion means that all staff members have equitable and fair opportunities to succeed, in an inclusive environment, with their individual, unique identities. So, what are you waiting for? Apply now. Plante Moran enjoys a “Workplace for Your Day” model which, simply put, means we strive for flexibility and balance while staying true to our principally in-person model. We believe that face-to-face interactions are paramount for individual and collective development, but also encourage individuals to work with their supervisor and team to determine their optimal working environment each day. Plante Moran is committed to a diverse workplace. We strive to create a culture where each person feels accepted and valued. We believe that each person’s ultimate potential begins with first acknowledging their inherent dignity. When we can recognize — and celebrate — our many human differences, we’re able to create a workplace where all staff feel a sense of belonging and an opportunity to succeed. This allows us to attract and retain the best talent, serve clients through diverse thinking, and better represent and support the various communities in which we live and work. Plante Moran is an Equal Opportunity Employer. Plante Moran maintains a drug-free workplace. Interested applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of interest in our positions, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship, with the exception of qualified candidates who are bilingual in either Japanese and English or Chinese and English. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and become the property of Plante Moran. The specific statements above are not intended to be all-inclusive. Show more Show less

Description The Selling Partner Trust & Integrity organization's North Star vision ensures that while bad actors are effectively blocked, legitimate selling partners can build and grow their businesses without disruption, fostering trust and confidence in Amazon's store integrity worldwide. Within this framework, the Selling Partner Support Operations (SPTO) Registration and Compliance Escalations Support (RCES) team manages high-priority escalations across executive, legal, PR, and regulatory channels. RCES team's scope encompasses multiple verification, compliance and Regulatory programs. Through close partnership with product, tech, and operations teams, RCES provides comprehensive resolution on escalations while conducting detailed Root Cause Analysis (RCA) where required. Beyond immediate issue resolution, through Close Loop Mechanism (CLM) program RCES plays a crucial role in improving the selling partner experience by identifying process gaps and developing and tracking effective, scalable solutions to prevent similar issues from arising in the future. About The Role We're seeking a highly analytical Business Analyst to join our RCES team to analyze complex business decisions, develop workflow tools, and transform large-scale datasets into actionable insights through dashboards and automated solutions. The ideal candidate will have strong SQL proficiency and experience with visualization tools like Quicksight, Tableau, or Power BI, along with the ability to work across multiple data platforms including AWS. This role requires someone who can design effective data schemas, leverage internal AI tools to automate root cause documentation and VOS data summarization, while collaborating with Business Intelligence and Data Engineering teams. The position demands expertise in handling real-time and near real-time data, strong problem-solving skills, and the ability to elevate our technical capabilities while working with our distributed analytics team to drive process improvements through automation and data-driven solutions. Basic Qualifications Bachelor's degree in Business, Analytics, Computer Science, or related field 5+ year’s experience in data analytics with advanced Excel proficiency (VBA, pivot tables, array functions, power pivots) 3+ years hands-on experience with data visualization tools (Tableau, Quicksight, or Power BI) Strong SQL proficiency and experience working with large datasets Demonstrated experience in requirements gathering and metrics-driven analysis Track record of translating complex data into actionable business recommendations Experience collaborating with cross-functional teams and influencing senior stakeholders Background in automation and process improvement initiatives Strong problem-solving and analytical skills with attention to detail Excellent written and verbal communication skills Experience with AI/ML tools and automated workflow development Preferred Qualifications Master's degree in Business Analytics, Data Science, Finance, or related quantitative field 3+ year’s experience in business analytics, risk management, or related analytical fields Knowledge of AWS services and cloud-based data platforms Experience working with global, distributed teams Project management experience leading cross-functional initiatives Background in process automation and optimization Understanding of risk management frameworks and compliance processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A2999527 Show more Show less

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 6 years Location: Bangalore JobType: full-time About The Role We’re looking for an Advanced AI Scientist who thrives at the intersection of cutting-edge research and production-grade AI development. In this role, you will lead initiatives to build and deploy generative AI systems with applications across vision and language . From fine-tuning large-scale transformer models to integrating computer vision pipelines, your work will power next-generation features across our AI-driven product suite. This role offers an opportunity to dive deep into generative models, leverage both LLMs and computer vision systems , and collaborate with a team that believes in pushing technical boundaries. What You’ll Do Architect and train generative AI models including diffusion models, GANs, and transformer-based systems for text and image generation. Fine-tune and optimize Large Language Models (LLMs) like GPT, T5, or BERT for use cases such as summarization, content generation, and intelligent chat interfaces. Develop robust computer vision pipelines using OpenCV for tasks such as image enhancement, object recognition, or scene understanding. Collaborate with cross-functional teams across product, engineering, and design to embed intelligent capabilities into production systems. Prototype with Keras, PyTorch, and TensorFlow to build scalable models that transition smoothly from research to production. Analyze large datasets, clean noisy inputs, and build preprocessing pipelines optimized for multimodal AI workflows. Stay current with research developments in AI/ML—transformers, diffusion models, multimodal learning—and bring those insights into applied projects. Ensure high availability and performance of models in cloud and edge environments via containerized deployments using Docker and Kubernetes. Contribute to internal knowledge sharing and mentor junior members of the AI/ML team. What You Bring 6–11 years of hands-on experience in AI/ML engineering , particularly in generative models and applied deep learning. Deep expertise in Python , with practical knowledge of PyTorch , TensorFlow , and Keras . Experience designing, fine-tuning, and deploying LLMs in real-world applications. Strong foundation in computer vision , including techniques like image segmentation, detection, and transformation using OpenCV . Fluency in NLP techniques—tokenization, embeddings, transformers, attention mechanisms, etc. Comfort working with cloud environments (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes . Demonstrated ability to deliver AI models from experimentation to production. Strong communication skills and ability to work cross-functionally in agile teams. Preferred Master’s or PhD in Computer Science, Machine Learning, AI, or related fields. Research publications or open-source contributions in generative AI or computer vision. Experience working in fast-paced startups or product-centric environments with ownership of AI initiatives. Familiarity with vector databases, prompt engineering, or multimodal AI systems. Show more Show less