358 Summarization Jobs - Page 10

Job Title: Automation Engineer – AI & Process Automation Location: Gurugram (In-Office) Experience: 1+ years preferred Department: Technology / Operations Job Type: Full-time About the Role We’re looking for a sharp, proactive Automation Engineer who’s passionate about leveraging cutting-edge AI tools and automation platforms to streamline internal operations. In this role, you’ll work closely with eCommerce, content, and operations teams to build efficient, scalable systems that eliminate manual work and unlock productivity gains. Key Responsibilities AI-Powered Automation Design and implement intelligent workflows using tools like OpenAI’s GPT, Claude, and AI agents for content generation, categorization, summarization, and decision support. Build prompt chains and agent workflows to handle semi-autonomous decision-making processes. Process Automation Develop and manage automation workflows in Make.com, n8n, and similar tools to integrate systems, streamline tasks, and reduce operational overhead. Create automation around eCommerce operations such as order handling, product uploads/updates, pricing syncs, and customer communication. Automate routine content workflows such as SEO updates, content repurposing, and scheduled publishing. Workflow Optimization Identify bottlenecks in business processes across departments (content, marketing, ops) and propose AI/automation-based solutions. Work with stakeholders to understand manual tasks and translate them into automation specs. Testing & Maintenance Monitor, test, and troubleshoot automations regularly to ensure reliability. Continuously optimize existing automations for better performance and maintainability. Documentation & Training Create SOPs and internal documentation for all automations and AI tools used. Educate team members on using and interacting with automation systems. Requirements 1+ years of experience in automation engineering or related roles. Strong experience with tools like n8n, Make.com, or similar workflow automation platforms. Hands-on experience using AI tools like OpenAI (ChatGPT API), Claude, LangChain, or similar frameworks. Familiarity with APIs, webhook integrations, and data formats like JSON. Proficiency in designing prompt workflows and using AI for task automation. Ability to work cross-functionally and translate business problems into tech-driven solutions. Comfortable working in a fast-paced, high-growth environment. Excellent problem-solving and documentation skills. Preferred Skills Experience with eCommerce platforms (Shopify, WooCommerce, Magento, etc.). Basic knowledge of scripting (JavaScript, Python) for custom logic in automations. Understanding of SEO/content systems and versioning tools like Notion, Airtable, or CMS platforms. Familiarity with Zapier or other integration tools (as backup or complementary systems). Perks & Benefits Opportunity to work on cutting-edge automation and AI applications. Dynamic and collaborative work environment. Flexible and high-impact role with cross-functional exposure. Growth path into Head of Automation or AI Systems Architect. If you’re passionate about simplifying complex systems and building smart, scalable automations — we want to hear from you. Apply now and help us supercharge productivity with technology. Job Type: Full-time Pay: ₹300,000.00 - ₹500,000.00 per year Benefits: Food provided Schedule: Day shift Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI and process automation: 1 year (Required) Work Location: In person

About Us We're building the world’s first AI Super-Assistant purpose-built for enterprises and professionals. Our platform is designed to supercharge productivity, automate workflows, and redefine the way teams work with AI. Our two core products: ChatLLM – Designed for professionals and small teams, offering conversational AI tailored for everyday productivity. Enterprise Platform – A robust, secure, and highly customizable platform for organizations seeking to integrate AI into every facet of their operations. We’re on a mission to redefine enterprise AI – and we’re looking for engineers ready to build the connective tissue between AI and the systems that power modern business. Role: Connector Integration Engineer – File Systems & Productivity Platforms As a Connector Integration Engineer focused on file systems, you’ll be responsible for building robust and secure integrations with enterprise content and collaboration platforms. You’ll enable our AI to retrieve, index, and interact with organizational documents, enabling powerful search, automation, and summarization features. What You’ll Do Build and manage connectors for productivity platforms including: SharePoint OneDrive Google Drive Work with Microsoft Graph APIs and related SDKs for document access Implement secure file access via OAuth2 and delegated permissions Enable metadata indexing and real-time syncing of document repositories Collaborate with product and AI teams to build document-aware AI experiences Troubleshoot access control issues, token lifecycles, and permission scopes Write reliable, maintainable backend code for secure data sync What We’re Looking For Experience building or working with SharePoint, OneDrive, or Google Drive APIs Strong understanding of document permissions, OAuth2, and delegated access Proficiency in backend languages like Python or TypeScript Ability to design integrations for structured and unstructured content Familiarity with API rate limits, refresh tokens, and file metadata models Solid communication skills and a bias for shipping clean, well-tested code Nice to Have Experience with Microsoft Graph SDK, webhook handling, or file system events Knowledge of indexing, search, or document summarization workflows Background in collaboration tools, SaaS products, or enterprise IT Exposure to modern security and compliance practices (SOC 2, ISO 27001) Candidates from top-tier tech environments or universities are encouraged to apply What We Offer Remote-first work environment Opportunity to shape the future of AI in the enterprise Work with a world-class team of AI researchers and product builders Flat team structure with real impact on product and direction $60,000 USD annual salary Ready to help our AI assistant work smarter with enterprise files? Join us – and power the world’s first AI Super-Assistant. Show more Show less

About Us We're building the world’s first AI Super-Assistant purpose-built for enterprises and professionals. Our platform is designed to supercharge productivity, automate workflows, and redefine the way teams work with AI. Our two core products: ChatLLM – Designed for professionals and small teams, offering conversational AI tailored for everyday productivity. Enterprise Platform – A robust, secure, and highly customizable platform for organizations seeking to integrate AI into every facet of their operations. We’re on a mission to redefine enterprise AI – and we’re looking for engineers ready to build the connective tissue between AI and the systems that power modern business. Role: Connector Integration Engineer – File Systems & Productivity Platforms As a Connector Integration Engineer focused on file systems, you’ll be responsible for building robust and secure integrations with enterprise content and collaboration platforms. You’ll enable our AI to retrieve, index, and interact with organizational documents, enabling powerful search, automation, and summarization features. What You’ll Do Build and manage connectors for productivity platforms including: SharePoint OneDrive Google Drive Work with Microsoft Graph APIs and related SDKs for document access Implement secure file access via OAuth2 and delegated permissions Enable metadata indexing and real-time syncing of document repositories Collaborate with product and AI teams to build document-aware AI experiences Troubleshoot access control issues, token lifecycles, and permission scopes Write reliable, maintainable backend code for secure data sync What We’re Looking For Experience building or working with SharePoint, OneDrive, or Google Drive APIs Strong understanding of document permissions, OAuth2, and delegated access Proficiency in backend languages like Python or TypeScript Ability to design integrations for structured and unstructured content Familiarity with API rate limits, refresh tokens, and file metadata models Solid communication skills and a bias for shipping clean, well-tested code Nice to Have Experience with Microsoft Graph SDK, webhook handling, or file system events Knowledge of indexing, search, or document summarization workflows Background in collaboration tools, SaaS products, or enterprise IT Exposure to modern security and compliance practices (SOC 2, ISO 27001) Candidates from top-tier tech environments or universities are encouraged to apply What We Offer Remote-first work environment Opportunity to shape the future of AI in the enterprise Work with a world-class team of AI researchers and product builders Flat team structure with real impact on product and direction $60,000 USD annual salary Ready to help our AI assistant work smarter with enterprise files? Join us – and power the world’s first AI Super-Assistant. Show more Show less

Job Information Date Opened 05/28/2025 Job Type Full time Industry Technology State/Province Karnataka/West Bengal Zip/Postal Code 700091/500083 City Kolkata/Bangalore Country India About Us At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises. Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises. Job Description About the Role Seeking a Senior Data Scientist who is equally comfortable building predictive models and architecting intelligent systems with Generative AI. This role is ideal for someone who thrives on solving complex business problems with the power of data, machine learning, and cutting-edge AI techniques — including large language models (LLMs), RAG pipelines, and prompt engineering. You’ll be at the forefront of innovation, driving the design and deployment of scalable AI solutions that power intelligent products, enhance automation, and enable smarter decision-making across the organization. Key Responsibilities Generative AI & LLMs Fine-tune and apply large language models (LLMs) for summarization, classification, generation, and dialogue use cases. Design and implement retrieval-augmented generation (RAG) pipelines using vector databases. Develop intelligent agents, agentic workflows and chat-based interfaces that translate natural language into actions or insights. Build multi-agent orchestration frameworks using tools such as LangGraph, AutoGen, or similar for enterprise-grade use cases. Create reusable prompt templates and evaluation strategies to ensure output quality and relevance. Machine Learning & Predictive Analytics Develop robust ML models for classification, regression, clustering, and time-series forecasting. Apply advanced feature engineering, model evaluation, and explainability techniques. Collaborate with stakeholders to define data-driven solutions aligned with business KPIs. Deployment & MLOps Lead the full model lifecycle from experimentation to deployment preferably using Azure, Databricks, or equivalent platforms. Monitor model performance, automate retraining, and ensure reliability through MLOps best practices. Data Strategy & Collaboration Work with data engineers to transform raw data into ML-ready datasets. Collaborate cross-functionally with product managers, developers, and business teams to turn use cases into scalable AI solutions. Mentor junior team members and contribute to AI/ML best practices across the org. Required Skills & Qualifications 4+ years of experience in data science or machine learning roles. Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field. Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning) Hands-on experience with Gen AI-related tech stack, including Azure cognitive search, Langchain, HuggingFace, vector DBs and agent frameworks like Autogen. Experience in fine-tuning open-source models like Llama etc. is a bonus. Strong programming skills in advanced python, with experience in SQL and cloud-based data platforms (Azure preferred). Understanding of model governance, versioning, monitoring, and evaluation. Ability to translate business problems into analytical frameworks and actionable models. Strong problem-solving mindset and ability to work in ambiguous, fast-paced environments. Strong storytelling and stakeholder communication skills.

Job Title: Generative AI & Automation Expert Location: Delhi, India Department: Technology Reports To: Chief Technology Officer (CTO) Employment Type: Full-Time About Drishti IAS 'Drishti The Vision' was founded on 1st November 1999. Since then, we have been a beacon of excellence in the field of Civil Services Examination preparation and one of the top choices for those preparing for the UPSC Civil Services Examination (CSE). Drishti IAS is dedicated to providing unwavering support and expert guidance for UPSC and State Services aspirants across multiple States/Union Territories in India. We also offer comprehensive online programs accessible through our Drishti Learning App (Android, iOS & Windows), in addition to our well-established physical classroom centers. Job Overview We are seeking a skilled Generative AI & Automation Expert to lead the development and enhancement of our AI-driven educational tools and automation infrastructure. The ideal candidate will have deep expertise in generative AI, large language models (LLMs), and workflow automation technologies, with a passion for EdTech innovation. This role involves building and maintaining AI solutions that improve learner experiences, automating content generation processes, and ensuring operational excellence through automation. Key Responsibilities AI Infrastructure Development: - Design, develop, and maintain scalable AI infrastructure to support educational and operational requirements. - Deploy and fine-tune local large language models (LLMs), ensuring high performance, reliability, and cost efficiency. Generative AI Features: - Enhance educational applications by implementing generative AI capabilities such as chatbots for real-time doubt resolution, automated quiz generation, and summarization tools. - Develop automated systems to efficiently generate educational content such as test series questions and learning materials. Automation & Workflow Optimization: - Deploy and manage automation tools to streamline organizational workflows, improving productivity across various teams. - Implement AI-driven analytical tools to evaluate sales and support interactions, providing actionable insights to management. Technical Leadership: - Lead and collaborate with cross-functional teams in integrating advanced AI and automation solutions. - Stay current with developments in AI, LLMs, and automation tools, and incorporate industry best practices into the technology strategy. Knowledge Transfer & Documentation: - Create comprehensive documentation of processes, workflows, and system architectures. - Provide training and mentorship to team members to foster innovation and maintain technological proficiency. Qualifications & Skills Education: - Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. Experience: - Minimum of 5 years’ experience specializing in generative AI, LLMs, and automation. - Proven experience developing AI solutions within EdTech or related sectors. - Hands-on expertise with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. - Practical experience in deploying and fine-tuning models such as Deepseek, Mistral, or Llama. Technical Skills: - Strong programming proficiency in Python, FastAPI, and containerization technologies like Docker. - Experience with workflow automation tools (e.g., n8n, Zapier). - Knowledge of cloud services (AWS, Azure, GCP) and vector databases (Weaviate, Qdrant, Pinecone). - Familiarity with MLOps practices and CI/CD pipelines is advantageous. Soft Skills: - Strong analytical thinking and problem-solving abilities. - Excellent communication and interpersonal skills. - Capacity to independently manage projects and handle multiple priorities effectively. Preferred: - Prior experience in the EdTech industry, particularly developing AI-driven educational tools. - Familiarity with UPSC examination content and preparation processes. Show more Show less

Job Title: Data Scientist – AI Solutions Business Unit: EXL Digital - AI & Analytics Primary Domain: Insurance / Healthcare / Financial Services Job Summary At EXL Digital , we’re pushing the frontiers of AI and NLP by building intelligent, scalable, and production-ready solutions that solve real-world business problems. We’re looking for Data Scientists who are passionate about applying state-of-the-art techniques, especially in Natural Language Processing (NLP) and Large Language Models (LLMs) —to extract insights and automate processes across unstructured data formats such as text, documents, images, and speech. This role offers a unique opportunity to build and deploy AI solutions across insurance and other domains , using a blend of classical techniques and cutting-edge transformer-based architectures. Key Responsibilities Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Own the full model development lifecycle: Select appropriate algorithms (rule-based, statistical, deep learning, transformer-based) Conduct exploratory data analysis and feature engineering Train and fine-tune models using tools such as Hugging Face Transformers, spaCy, and open-source LLMs Integrate external ontologies, taxonomies, and domain knowledge for enhanced performance 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 capable of handling large-scale data pipelines and complex machine learning models (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 LLM fine-tuning, 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 Qualifications 4–8 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, preferably involving unstructured data from insurance or financial services 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 Education: Bachelor’s or Master’s degree in Engineering, Computer Science, Statistics, or a related field; MBA or degree from Tier 1 institution is a plus What We Offer Work on real-world AI projects that go beyond experimentation—drive live deployments with business impact Access to top-tier mentorship, training, and learning opportunities in AI/ML/NLP and cloud technologies Exposure to a wide variety of business use cases in insurance, healthcare, and financial services A collaborative, fast-paced, and intellectually stimulating environment Structured career growth paths, with opportunities to develop technical and business consulting expertise Be part of a global team of AI/ML professionals, working at the cutting edge of innovation Show more Show less

Job Description Onsite work opportunity. Overview Of The Role The Project Lead in the Contract Management Department oversees the quality and efficiency of contract management processes. This role includes managing the projects, ensuring compliance with service level agreements (SLAs), and upholding high-quality control standards. The Project Lead serves as a mentor and expert, guiding team members and providing feedback to improve their performance. Key responsibilities involve maintaining the quality of the project by conducting regular quality checks and making sure the guidelines approved by the client are adhered to, Query resolutions, tracking team metrics, creating reports for all the projects, and finalizing documents before they are sent to clients. The Project Lead works closely with the team to answer questions, provide guidance, and update client guidelines, ensuring all contractual obligations are met. In summary, the Project Team is essential to the success of the Contract Management Department by promoting quality, mentorship, and collaboration, which enhances the organization’s efficiency in contract management. Department Function: Contract Management Department The Contract Management Department manages the lifecycle of contracts with a team of trained lawyers experienced in Contract Lifecycle Management (CLM) tools. The department focuses on key areas like contract abstraction, Annotation, summarization, obligation management, and other contract management processes. Responsibilities Report and maintain project metrics to track performance and quality Perform quality control (QC) and quality assurance (QA) checks on projects Conduct high-level audits on QC’d documents to validate quality Provide feedback to reviewers and QC’ers Act as a mentor and role model for team members involved in the projects Review and finalize deliverables before sending them to clients Serve as a subject matter expert on various projects Draft and resolve client and team queries Support end-to-end QA processes and lead project training Assist Team Leads and Managers with QC strategy and reporting Ensure adherence to company standard operating procedures on projects Use checklist standards and adhere to quality protocols closely Help in updating and modifying guidelines for clients Qualifications 5-7 years’ experience Minimum LLB or BL (Bachelor of Laws) A minimum of 5-7 years’ experience in Contract Management with at least 2 to 4 years of experience in leading projects/managing projects Experience working on CLM tools like Ironclad, Contract Works, Conga, Icertis, Onit etc. LLM (Master of Laws) is an added advantage Relevant certifications in contract management or quality assurance are a plus Additional Optional Qualifications: Certifications on the Contract Lifecycle Management (CLM) tools (e.g., Ironclad, Contract Works, Conga, Icertis, Onit) Skills Ability to mentor and guide team members. Strong decision-making and problem-solving skills. Proficiency in performing quality checks and audits on documents. Attention to detail to ensure high-quality deliverables. Excellent verbal and written communication skills for effective interaction with team members and clients. Ability to draft clear and concise queries and reports. Strong organizational skills to manage multiple projects and deadlines. Ability to track and report team metrics effectively. Experience with Contract Lifecycle Management (CLM) tools (e.g., Ironclad, Contract Works, Conga, Icertis, Onit). Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook). Strong ability to build relationships and work collaboratively with team members and stakeholders. Why You will Love Working for KLD At KLD we invest in employees and their families by placing their wellbeing first. We offer competitive total compensation that includes base pay, bonus opportunity, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. India compensation is based upon the local competitive market. Paid time off, that offers various time off options to help employees maintain a work-life balance, such as Casual, Earned, Sick, Special Leave, and Holidays! Ongoing learning and development, a focus on continuous professional development through various training and education reimbursement programs. A diverse and inclusive workplace where we all learn, grow, and achieve the greatest heights…together. A surrounding team of mission-driven individuals who genuinely love what they do. Free, fun, interactive and incentivized global wellness program that promotes the wellbeing of our employees. Our Cultural Values Entrepreneurs At Heart, We Are a Customer First Team Sharing One Goal And One Vision. We Seek Team Members Who Are Humble - No one is above another; we all work together to meet our clients’ needs and we acknowledge our own weaknesses Hungry - We all are driven internally to be successful and to continually expand our contribution and impact Smart - We use emotional intelligence when working with one another and with clients Our culture shapes our actions, our products, and the relationships we forge with our customers. Who We Are KLDiscovery provides technology-enabled services and software to help law firms, corporations, government agencies and consumers solve complex data challenges. The company, with offices in 26 locations across 17 countries, is a global leader in delivering best-in-class eDiscovery, information governance and data recovery solutions to support the litigation, regulatory compliance, internal investigation and data recovery and management needs of our clients. Serving clients for over 30 years, KLDiscovery offers data collection and forensic investigation, early case assessment, electronic discovery and data processing, application software and data hosting for web-based document reviews, and managed document review services. In addition, through its global Ontrack Data Recovery business, KLDiscovery delivers world-class data recovery, email extraction and restoration, data destruction and tape management. KLDiscovery has been recognized as one of the fastest growing companies in North America by both Inc. Magazine (Inc. 5000) and Deloitte (Deloitte’s Technology Fast 500). Additionally, KLDiscovery is an Orange-level Relativity Best in Service Partner, a Relativity Premium Hosting Partner and maintains ISO/IEC 27001 Certified data centers. KLDiscovery is an Equal Opportunity Employer. Visit www.kldiscovery.com to learn more. Show more Show less

Description Description Job Objective: To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes. Designation: Associate Consultant Job Location: Bangalore/Chennai Type of employment: Permanent Key Skills : Python , machine Learning, Deep Learning(Neural Networks, RNN, LSTM, Transformer) , Good Understanding of NLP, Transformer models and their internal architecture/working , TensorFlow / Keras/Pytorch. Responsibility : Research & develop business use cases where we can integrate LLM efficiently. Conduct research to identify opportunities for integrating Large Language Models (LLMs) into various business use cases. Stay up-to-date with the latest advancements in AI, machine learning, and natural language processing (NLP). Experiment with cutting-edge AI technologies and algorithms to solve complex problems. Collaborate with cross-functional teams to identify and implement opportunities for integrating LLMs into various business processes and applications. Evaluate the performance of machine learning and deep learning models and fine-tune them for better accuracy and efficiency. Implement best practices for model optimization and hyperparameter tuning. Collaborate with data scientists, engineers, product managers, and other stakeholders to drive AI initiatives forward. Discover and investigate open-source models that can be utilized for specific tasks, such as summarization and sentiment detection. Proficiency in creating data pipelines. Experience: 4 to 5.5 years Additional skills: Hands on experience with Generative Models (OpenAI / Open-source models). Hands on experience with LLM Frameworks like LangChain and Llama Index. Hands on experience in building applications and solutions using Large Language Models. Must have expertise in Python Language. Expertise in Prompt Engineering. Good to have experience in LLM Fine tuning. Good to have experience with Azure Cloud computing. Qualifications Requirements: Masters in Statistics, Marketing, Finance, Operations research, Engineering, or equivalent full-time education 4+ years of work experience on analytic work. Should be inquisitive and have a learning mindset Willingness and ability to experiment with new tools and techniques Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings 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

What is the Internal Audit group responsible for? The Franklin Templeton Internal Audit group is an independent and objective function within the Franklin Templeton organization, designed to improve and protect organizational value by providing independent, dynamic risk-based assurance and advisory services. Internal Audit (IA) accomplishes its objectives by being a future-focused and sought-after business partner driven by our insight, knowledge and expertise. What is the Manager, Internal Audit, responsible for ? As our Manager, Internal Audit, you will play a key role in assessing risks, reviewing internal controls, and providing forward-looking insights into improving business processes. You will work closely with senior Private Market stakeholders and co-source partners to deliver high-quality internal audit reviews and help strengthen governance. Collaboration with teams across Internal Audit and the wider organization, while working under limited supervision, is key to supporting delivery of organizational strategies. Our global organization provides a stimulating environment and the opportunity to collaborate with knowledgeable colleagues and specialists around the world. What are the ongoing responsibilities of the Manager, Internal Audit? Planning and executing Private Market audits and special projects, including meeting with auditee management, documenting the control environment, documenting control weaknesses, inefficiencies, root causes, risks, and recommendations. Finalizing audits and special projects for Private Market areas, including conducting exit meetings and drafting and/or reviewing the audit reports. Meeting and interacting with key stakeholders (primarily Private Markets), overseeing our co-source partner of internal audit services, coordinating with other internal compliance/risk management functions. Attending and reporting to Boards and Audit Committees (ACs) as required. Interacting with external auditors and/or regulators as required. Training and developing Internal Audit personnel, working on department-wide initiatives including methodology enhancements, quality assurance, audit tool/system enhancements and procedural reviews What ideal qualifications, skills & experience would help someone to be successful? Bachelor’s Degree or equivalent in Business, Accounting, Information Technology, or a related discipline 10 to 15+ years of auditing experience and at least 4 years in a senior/supervisory position. 4+ years of top-tier public accounting firm experience Required to hold one or more professional certification/designations in the following: Auditing, e.g., CPA, CIA, CA, CISA, CFE Experience in the asset management industry (Private Markets – Private Credit / Private Debt, Real Estate, Private Equity) Knowledge of regulations affecting asset management Demonstrated ability to perform both Assurance and Advisory reviews as well as collaborating with co-source partners Data analytics / data visualization experience (e.g., Tableau, Power BI, Business Objects) What are the other abilities of an Audit Manager? Knowledge of and ability to understand, adapt, respond to, and proactively seek changes and innovation in the technology business environment to improve the competitive advantage of an organization Drive critical activities to completion. Ability to work independently and as part of a team with minimal supervision Apply organizational acumen to identify and maintain focus on key success factors for the organization Knowledge of and ability to work and think alongside stakeholders to achieve stakeholders' current and future aspirations and successes Knowledge of effective influencing tactics and strategies; ability to impact decisions within and outside own organization Knowledge of and the ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience Work with minimal supervision and exercise independent judgment consistent with department guidelines Act as supervisor to lower-level staff Ability to interact with senior management on a regular basis Ability to maintain a professional image (e.g., demeanor, confidentiality, humbleness, maturity and confidence) Work Shift Timings - 2:00 PM - 11:00 PM IST Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Technical Services Implementation Engineer (L3) is a seasoned engineering role, responsible for providing technical support to clients. This includes remotely supporting clients within service level agreements (SLAs); to install and configure software and hardware, resolve incidents, perform root cause analysis and adhere to any related processes such as change management. This role is involved in more complex environments for installation, configuration and fault management. What You'll Be Doing Experience of 8-12 years in networking domain with basic and Advanced routing/switching skills in the field role. Should be able to Implement Routing&Switching, SD-WAN, SP, Datacenter related projects. Create network documentation LLD and AS-BUILD, SOPs for the deployments. Performing analysis of network needs and contributes to design (Low Level Design), integration, and installation of Network hardware and software. Routing and Switching: FHRP, Spanning-tree, Stacking, VSS, VPC. BGP, OSPF, EIGRP,Static Routing, PBR, VRF, MPLS, DMVPN, GRE Tunnels, Route Redistribution, Summarization, Route filtering, PAT ,NAT, Netflow. Should be having excellent knowledge on L3 routing, VRF & Switching for troubleshooting, implementation and optimizing network deployment. Datacentre : Nexus(VDC, VPCs, FEXs, VxLan). ACI ( Spine and Leaf , APICs, Tenants, VRFs, BDs, EPGs, L2 Outs, L3 Outs, L4-7 services) SDWAN : Configuration and deployment of SD-WAN controllers Good understanding of SD-Wan components like , vSmart Controller,vManage NMS,vBond Orchestrator,vEdge Routers Implementation of controllers data policies & operations job in field Implementation of DIA , Dynamic tunnels. Qos deployment Able to handle SD-wan operations. Cisco Catalyst Switches, Nexus Switches, ISR, ASR Routers. Cisco SD-WAN(Viptela), Silverpeak(Aruba), Meraki. Requirements: 8-12 year’s work experience. Ready to work in Field role Location: Delhi/NCR BE/B.Tech degree, MCA or equivalent preferred Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You! Show more Show less

We are seeking a highly skilled Data Scientist (LLM/Gen AI Engineer) to join our AI and Machine Learning team. In this role, you will focus on the research, development, and deployment of Large Language Models (LLMs) and Generative AI solutions to solve real-world problems and enhance intelligent applications. You will work closely with cross-functional teams including data scientists, machine learning engineers, and product managers to build scalable, production-ready Gen AI systems. Key Responsibilities: Research, fine-tune, and deploy Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or similar. Design and implement end-to-end Gen AI pipelines for tasks such as summarization, question answering, code generation, and retrieval-augmented generation (RAG). Preprocess and curate large datasets for training and evaluation of language models. Optimize models for efficiency, accuracy, and scalability using techniques like quantization, distillation, and model pruning. Integrate LLM-based solutions with existing products, APIs, and user-facing applications. Evaluate model performance using metrics like BLEU, ROUGE, perplexity, and human evaluation. Stay up-to-date with the latest trends in AI research, LLM architecture, and Gen AI tools. Collaborate with engineers to scale models in production and monitor model drift or degradation. Document experiments, model behaviors, and results to guide reproducibility and future development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. 2–5+ years of experience working as a Data Scientist, ML Engineer, or AI Researcher. Hands-on experience with Large Language Models (OpenAI GPT, PaLM, Claude, LLaMA, Mistral, etc.). Proficient in Python and popular ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain). Deep understanding of NLP, tokenization, embeddings, transformers, and attention mechanisms. Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, etc.). Experience deploying models using cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes). Strong analytical, problem-solving, and communication skills. Job Types: Full-time, Permanent Pay: Up to ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Mention your current location Work Location: In person

About Kach Motors: Kach Motors is a leading Indian manufacturer of high-precision automotive components , specializing in bar and forging components for commercial vehicles, tractors, and the aftermarket. With a strong commitment to engineering excellence, quality, and innovation, Kach Motors supplies parts to top OEMs and global distributors. As we scale our global presence, we’re also investing heavily in digital transformation and automation across all verticals. About the Role: We are looking for a dynamic AI & Automation Expert to help digitize and streamline our business processes. The ideal candidate will leverage AI to improve internal efficiency, automate customer communication, and enhance decision-making through data analytics — with a strong focus on LinkedIn Sales Navigator , CRM tools, and cross-functional integration. Key Responsibilities: Automate routine business tasks (emails, reports, reminders, follow-ups, etc.) using AI tools Build and maintain real-time dashboards for sales, marketing, and production Use LinkedIn and Sales Navigator to identify and engage high-potential leads Integrate lead data with CRM and automate follow-up sequences Implement tools for email summarization , auto-replies , and intelligent inbox management Analyze business data to provide actionable insights for leadership Streamline workflows between departments using automation platforms (e.g., Zapier, Make, Notion AI) Support customer-facing teams with tools to improve engagement and response speed Conduct internal training on AI tools and automation practices Requirements: Minimum 3 years of hands-on experience with AI tools and business automation Strong command of LinkedIn Sales Navigator and B2B lead generation strategies Proficiency in tools like ChatGPT, Zapier, Power BI, Notion AI , etc. Solid understanding of data analysis and dashboard creation Fluent in spoken and written English Experience working in or with industrial/manufacturing environments Basic knowledge of customer interaction and CRM systems Self-starter with the ability to work across teams and manage multiple tasks Preferred Qualifications: Bachelor’s degree in Engineering, Computer Science, Business, or related field Prior experience in the automotive or manufacturing sector Familiarity with ERP systems or automation of production reporting is a plus Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: ci/cd,model interpretability,openai,langchain,aws,rag architectures,javascript,azure,google cloud,nltk,next.js,kubernetes,large language models,hugging face,ai tools,python,gcp,quantization,deep learning,machine learning (ml),nlp,ai development,mlops tools,backend technologies,llama,pytorch,ethical ai,frontend technologies,r,react.js,cloud,flask,data privacy,spacy,hugging face transformers,computer vision,nlp tasks,retrieval-augmented generation (rag),tensorflow,ml,gpt,ai technologies,large language models (llms),generative ai,fastapi,openai apis,embeddings,natural language processing,artificial intelligence,bert,model compression,natural language processing (nlp),vector databases,django,mlops,node.js,docker,inference optimization,java,machine learning,typescript Show more Show less

Job Title: Automation Engineer – AI & Process Automation Location: Gurugram (In-Office) Experience: 1+ years preferred Department: Technology / Operations Job Type: Full-time About the Role We’re looking for a sharp, proactive Automation Engineer who’s passionate about leveraging cutting-edge AI tools and automation platforms to streamline internal operations. In this role, you’ll work closely with eCommerce, content, and operations teams to build efficient, scalable systems that eliminate manual work and unlock productivity gains. Key Responsibilities AI-Powered Automation Design and implement intelligent workflows using tools like OpenAI’s GPT, Claude, and AI agents for content generation, categorization, summarization, and decision support. Build prompt chains and agent workflows to handle semi-autonomous decision-making processes. Process Automation Develop and manage automation workflows in Make.com, n8n, and similar tools to integrate systems, streamline tasks, and reduce operational overhead. Create automation around eCommerce operations such as order handling, product uploads/updates, pricing syncs, and customer communication. Automate routine content workflows such as SEO updates, content repurposing, and scheduled publishing. Workflow Optimization Identify bottlenecks in business processes across departments (content, marketing, ops) and propose AI/automation-based solutions. Work with stakeholders to understand manual tasks and translate them into automation specs. Testing & Maintenance Monitor, test, and troubleshoot automations regularly to ensure reliability. Continuously optimize existing automations for better performance and maintainability. Documentation & Training Create SOPs and internal documentation for all automations and AI tools used. Educate team members on using and interacting with automation systems. Requirements 1+ years of experience in automation engineering or related roles. Strong experience with tools like n8n, Make.com, or similar workflow automation platforms. Hands-on experience using AI tools like OpenAI (ChatGPT API), Claude, LangChain, or similar frameworks. Familiarity with APIs, webhook integrations, and data formats like JSON. Proficiency in designing prompt workflows and using AI for task automation. Ability to work cross-functionally and translate business problems into tech-driven solutions. Comfortable working in a fast-paced, high-growth environment. Excellent problem-solving and documentation skills. Preferred Skills Experience with eCommerce platforms (Shopify, WooCommerce, Magento, etc.). Basic knowledge of scripting (JavaScript, Python) for custom logic in automations. Understanding of SEO/content systems and versioning tools like Notion, Airtable, or CMS platforms. Familiarity with Zapier or other integration tools (as backup or complementary systems). Perks & Benefits Opportunity to work on cutting-edge automation and AI applications. Dynamic and collaborative work environment. Flexible and high-impact role with cross-functional exposure. Growth path into Head of Automation or AI Systems Architect. If you’re passionate about simplifying complex systems and building smart, scalable automations — we want to hear from you. Apply now and help us supercharge productivity with technology. Job Type: Full-time Pay: ₹300,000.00 - ₹500,000.00 per year Benefits: Food provided Schedule: Day shift Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI and process automation: 1 year (Required) Work Location: In person

Job Title: Data Scientist SDE-2, SDE-3 & SDE-4 (Staff Data Scientist) Location: Noida & Bangalore Job Type: Full Time About us: PhysicsWallah is an Indian online education technology startup based in Delhi, originally created as a YouTube channel in 2014 by Mr. Alakh Pandey. We are the first company aiming to build an affordable online education platform for each Indian student who dreams of IIT & AIIMS but is unable to afford the existing offline/online education providers. We provide e-learning via our YouTube Channel and PhysicsWallah App/Website by providing lectures for JEE Mains and Advanced level, NEET and Board Exams. We are India’s first most viewed Educational channel on Youtube. YouTube Channel- https://youtube.com/c/PhysicsWallah About the Role: Qualification & Eligibility: Bachelor's or higher degree in a quantitative discipline (computer science, statistics, engineering, applied mathematics) Working Experience: SDE-2: 3 to 5 Years SDE-3: 5 to 7 Years SDE-4 (Staff): 7 to 10 Years Startup experience preferred, Edtech work experience bonus Roles & responsibilities: Help teams understand what data science can do for them and set the right expectations. Use deep learning, machine learning, and analytical methods to create scalable solutions for business problems. Create innovative solutions and applications utilising advanced NLP algorithms/architectures including (but not limited to ) LLMs for tasks such as text generation, summarization, translation, entity extraction and concept recognition, clustering, and more. Contribute to the execution of our vision for NLP-based technology solutions using various NLP toolkits like Huggingface, Spacy, CoreNLP, OpenNLP, etc. Perform relevant data analysis and benchmark the NLP solutions to improve our offerings. Be able to clearly communicate results and recommendations to various stakeholders. Evaluate the effectiveness of the solutions and improve upon them in a continuous manner. We expect one to have a mix of a strong technical background, the ability to understand the business implications of their work, and the ability to empathise with our users and work towards helping PhysicsWallah give them the best experience. Help and mentor junior members to become better data scientists. Skill Sets: Experience in building NLP (ML/DL) models. Strong foundational knowledge in transformers ( BERT, GPTs, T5s, etc.), embedded. Expertise in SQL and Python is a must. Hands-on experience with latest GenAI modelling (GPTs, Mistral, Falcon, and LLama) and approaches (RAG, Langchain, etc.). Experience using machine learning (structured, text, audio/video data) libraries (preferably in Python), deep learning (Tensorflow, PyTorch) Good to have: Foundational knowledge of any cloud (AWS/Azure/GCP) Expertise in querying relational, non-relational, graph databases. Experience in big data technologies (Spark, MapReduce, Pig, and Hive) 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

About Us QuillBot is an AI-powered writing platform on a mission to reimagine writing. QuillBot provides over 50 million monthly active uses students, professionals, and educators with free online writing and research tools to help them become more effective, productive, and confident. The QuillBot team was built on the idea that learning how to write and use that knowledge is empowering. They want to automate the more time-consuming parts of writing so that users can focus on their craft. Whether you're writing essays, social media posts, or emails, QuillBot has your back. It has an array of productivity-enhancing tools that are already changing the way the world writes. In the recent chain of events, we were also acquired by CourseHero, which is a 15-year-old Ed-Tech unicorn based out of California, now known as Learneo. Qualification Candidates with Bachelor's, Master's, or Ph.D. degrees. While we’ve seen strong profiles across different academic backgrounds, candidates from top engineering institutions are encouraged to apply. 3-6 years of hands-on experience in natural language processing and machine learning from prior work experience, course projects, or independent work. Strong knowledge of Python and deep learning toolkits (PyTorch, HuggingFace, etc.). Experience training neural network models (language models, sequence-to-sequence models, classifiers, etc.) for natural language processing. Passion for artificial intelligence, natural language processing, and machine learning. Strong command of the English language. Responsibilities Design and build solutions for natural language technologies, including paraphrasing, grammar checking, proofreading, summarization, and translation. Survey, choose, and implement methods from natural language processing and machine learning to solve problems of interest. Optimize solutions by modifying training recipes, performing extensive experiments, analyzing results, and iterating rapidly. Develop internal tools to facilitate AI component development that are easily usable and extendable by others. Conduct data analysis to identify ways to improve solutions and diagnose issues. Contribute ideas to other AI teams working on a range of problems in artificial intelligence. Read literature in natural language processing and machine learning, understand strengths and weaknesses of novel methods, and identify potentially useful methods for problems of interest. Why Join QuillBot? Work with a passionate and supportive team dedicated to technology innovation. Opportunities to challenge yourself and grow professionally. Competitive compensation package and benefits. Collaborative and inclusive work environment. Benefits & Perks Competitive salary, RSUs & annual bonus Medical coverage Life and accidental insurance Vacation & leaves of absence (menstrual, flexible, special, and more!) Developmental opportunities through education & developmental reimbursements & professional workshops Maternity & parental leave Hybrid & remote model with flexible working hours On-site & remote company events throughout the year Tech & WFH stipends & new hire allowances Employee referral program Premium access to QuillBot Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company and have employees dispersed throughout the United States, Canada, India and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation. #QuillBot Equal Employment Opportunity Statement (EEO) We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation. Show more Show less

As an experienced Engineer working for our leading client, you serve as member of an agile team to design and deliver trusted market leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with the client, strategizing on how big data can make client trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of client's private and public cloud platforms. Developing solution using Large Language models for generating new content, Summarization, Classification and Open-Domain Q+A use cases. Candidate is expected to have minimum 5 years of experience on the below areas Building data pipeline to extract information from unstructured documents using NLP , LLM and Computer Vision. Good knowledge in LLM fine tuning techniques and building RAG architecture pattern. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Developing probabilistic and predictive AI models for data classification and retrieval problems with god skills in Prompt Engineering. LLM Fine Tuning Techniques: Good understanding of fine tuning techniques for large language models with good experience in Python. LLM FineTuning Prompt Engineering Python MangoDB Show more Show less

Generative AI Model Development: Design, train, and fine-tune LLMs (GPT, LLaMA, Claude), diffusion models, and multimodal AI systems for various applications. NLP & Deep Learning Expertise: Implement and optimize Transformer-based architectures (BERT, T5, GPT, etc.) for text generation, summarization, and embeddings. AI Pipeline Engineering: Develop end-to-end AI pipelines , including data preprocessing, model training, inference, and deployment using PyTorch, TensorFlow, or JAX. Agile Development: Work in an Agile/Scrum environment, participating in standups, sprint planning, and retrospectives to iteratively develop AI-driven products. Fine-tuning & Optimization: Optimize pre-trained models through LoRA, PEFT, quantization, and distillation for efficiency and cost-effectiveness. Cloud & MLOps Integration: Deploy AI models on AWS using Kubernetes, Docker, FastAPI, and serverless architectures . Vector Databases & Retrieval-Augmented Generation (RAG): Work with FAISS, ChromaDB, Weaviate, or Pinecone to enhance generative models with retrieval-augmented techniques. AI Security & Ethics: Implement safeguards against bias, hallucinations, adversarial attacks , and ensure compliance with AI governance frameworks (e.g., GDPR, HIPAA). Experimentation & Research: Stay up-to-date with the latest AI advancements, conduct A/B testing , and experiment with new zero-shot, few-shot, and fine-tuning techniques. Collaboration & Mentorship: Work with cross-functional teams (data scientists, software engineers, product teams) and mentor junior AI engineers. Show more Show less

About us: At CultureMonkey, we’re reimagining employee engagement for the modern workplace. As a fast-growing HR Tech SaaS startup, we’re passionate about building tools that empower organizations to foster meaningful workplace cultures. About the Role: As an AI and Development Intern, you’ll get hands-on experience working at the intersection of artificial intelligence and product development. You’ll be part of a cross-functional team where your ideas and code will directly contribute to building intelligent, user-centric features for a global customer base. This role is ideal for someone who’s passionate about solving real-world problems with AI and eager to learn in a fast-paced startup environment. What You’ll Work On: Develop and integrate AI/ML models that power key features of our platform. Explore and implement NLP solutions such as sentiment analysis, summarization, and intent detection. Collaborate with engineers and product managers to build scalable APIs and backend services. Rapidly prototype, test, and iterate on features that use AI to drive better user engagement. Research and experiment with the latest in GenAI and LLM technologies to drive innovation. What We’re Looking For: Pursuing or recently completed a degree in Computer Science, AI/ML, or a related field Strong foundation in Python and familiarity with frameworks. Understanding of core NLP concepts and libraries. Experience with basic API development, backend integration, and cloud tools. Bonus: Exposure to LLMs like OpenAI, Claude, or Gemini, or experience building chat-based tools. Passion for AI, curiosity to learn fast, and readiness to work in a dynamic, collaborative environment. Be an important part of an employee-first org that walks the talk when it comes to building culture. Check out Life @ CultureMonkey here - https://www.culturemonkey.io/life-at-culturemonkey/ 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 .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 for matFinancial Analysis{​{:}} Assist in aspects of financial modeling including building financial statements from trial balances, and compiling and formatting financial statement analy ticsMarket Research{​{:}} Conduct comprehensive market research to identify and summarize key market trends and industry-specific dyn amicsClient Presentations{​{:}} Assist in the preparation of client presentations and pitch mat erialsBuyer Research{​{:}} Perform in-depth buyer research to assess the suitability of prospective in vestorsOther ad hoc research and presentatio n tasksEducation & Expe rience.Bachelors’ or Master’s Degree in Accounting or FinanceIPCC/PE II cleared and /or MBA Finance would be pr eferredTwo years+ post-qualification experience with demonstrated knowledge of working in a similar f unctionThe Qualific ations.Efficient use of research da tabasesBusiness writing acumen to include proper grammar, style, and prese ntationThorough financial statement analysis skillsStrong analytical skillsOutstanding time management and organization skillsSuperior attention to detail and conscientious quality of work productAbility to work under minimal supe rvisionThis 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 dif ferent?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? Ap ply 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 Em ployer. Plante Moran maintains a drug-free wor kplace. 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 Mo ran. The specific statements above are not intended to be all-in clusive. Show more Show less

Job Information Date Opened 05/28/2025 Job Type Full time Industry Technology State/Province Karnataka/West Bengal Zip/Postal Code 700091/500083 City Kolkata/Bangalore Country India About Us At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises. Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises. Job Description About the Role Seeking a Senior Data Scientist who is equally comfortable building predictive models and architecting intelligent systems with Generative AI. This role is ideal for someone who thrives on solving complex business problems with the power of data, machine learning, and cutting-edge AI techniques — including large language models (LLMs), RAG pipelines, and prompt engineering. You’ll be at the forefront of innovation, driving the design and deployment of scalable AI solutions that power intelligent products, enhance automation, and enable smarter decision-making across the organization. Key Responsibilities Generative AI & LLMs Fine-tune and apply large language models (LLMs) for summarization, classification, generation, and dialogue use cases. Design and implement retrieval-augmented generation (RAG) pipelines using vector databases. Develop intelligent agents, agentic workflows and chat-based interfaces that translate natural language into actions or insights. Build multi-agent orchestration frameworks using tools such as LangGraph, AutoGen, or similar for enterprise-grade use cases. Create reusable prompt templates and evaluation strategies to ensure output quality and relevance. Machine Learning & Predictive Analytics Develop robust ML models for classification, regression, clustering, and time-series forecasting. Apply advanced feature engineering, model evaluation, and explainability techniques. Collaborate with stakeholders to define data-driven solutions aligned with business KPIs. Deployment & MLOps Lead the full model lifecycle from experimentation to deployment preferably using Azure, Databricks, or equivalent platforms. Monitor model performance, automate retraining, and ensure reliability through MLOps best practices. Data Strategy & Collaboration Work with data engineers to transform raw data into ML-ready datasets. Collaborate cross-functionally with product managers, developers, and business teams to turn use cases into scalable AI solutions. Mentor junior team members and contribute to AI/ML best practices across the org. Required Skills & Qualifications 4+ years of experience in data science or machine learning roles. Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field. Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning) Hands-on experience with Gen AI-related tech stack, including Azure cognitive search, Langchain, HuggingFace, vector DBs and agent frameworks like Autogen. Experience in fine-tuning open-source models like Llama etc. is a bonus. Strong programming skills in advanced python, with experience in SQL and cloud-based data platforms (Azure preferred). Understanding of model governance, versioning, monitoring, and evaluation. Ability to translate business problems into analytical frameworks and actionable models. Strong problem-solving mindset and ability to work in ambiguous, fast-paced environments. Strong storytelling and stakeholder communication skills.

Key Responsibilities Build robust document data extraction pipelines using NLP and OCR techniques Develop and optimize end-to-end workflows for parsing scanned/image-based documents (PDFs, JPGs, TIFFs) and structured files (MS Excel, MS Word). Leverage LLM models (OpenAI GPT, Claude, Gemini etc.) for advanced entity extraction, summarization, and classification tasks. Design and implement Python-based scripts for parsing, cleaning, and transforming data. Integrate with Azure Services for document storage, compute, and secured API hosting (e.g., Azure Blob, Azure Functions, Key Vault, Azure Cognitive Services). Deploy and orchestrate workflows in Azure Databricks (including Spark and ML pipelines). Build and manage API calls for model integration, rate-limiting, and token control using AI gateways. Automate results export into SQL/Oracle databases and enable downstream access for analytics/reporting. Handle diverse metadata requirements, and create reusable, modular code for different document types. Optionally visualize and report data using Power BI and export data into Excel for stakeholder review. Technical Skills Required Skills & Qualifications: Strong programming skills in Python (Pandas, Regex, Pytesseract, spaCy, LangChain, Transformers, etc.) Experience with Azure Cloud (Blob Storage, Function Apps, Key Vaults, Logic Apps) Hands-on with Azure Databricks (PySpark, Delta Lake, MLFlow) Familiarity with OCR tools like Tesseract, Azure OCR, AWS textract, or Google Vision API Proficient in SQL and experience with Oracle Database integration (using cx_Oracle, SQLAlchemy, etc.) Experience working with LLM APIs (OpenAI, Anthropic, Google, or Hugging Face models) Knowledge of API development and integration (REST, JSON, API rate limits, authentication handling) Excel data manipulation using Python (e.g., openpyxl, pandas, xlrd) Understanding of Power BI dashboards and integration with structured data sources Nice To Have Experience with LangChain, LlamaIndex, or similar frameworks for document Q&A and retrieval-augmented generation (RAG) Background in data science or machine learning CI/CD and version control (Git, Azure DevOps) Familiarity with Data Governance and PII handling in document processing Soft Skills Strong problem-solving skills and an analytical mindset Attention to detail and ability to work with messy/unstructured data Excellent communication skills to interact with technical and non-technical stakeholders Ability to work independently and manage priorities in a fast-paced environment Show more Show less