895 Summarization Jobs - Page 12

Job Summary: We are seeking a Senior Python Developer with 8+ years of experience in building scalable Python applications, including at least 2 years of hands-on work with the Odoo ERP framework. The ideal candidate should be enthusiastic about leveraging AI tools and platforms to improve development efficiency, product capabilities, and business outcomes. You should be someone who thrives on continuous learning and stays updated with emerging AI trends that can be applied practically in projects. Key Responsibilities:  Backend Development: o Design and build scalable, secure Python applications and APIs. o Develop, extend, and maintain backend logic in Odoo modules.  Odoo Customization: o Customize Odoo modules (Sales, CRM, Accounting, Inventory, etc.) based on functional requirements. o Handle complex workflows and business logic within the Odoo framework.  AI Tool Utilization: o Apply and integrate modern AI/ML tools (e.g., OpenAI, LangChain, Google Vision, Whisper, Azure AI, Hugging Face APIs) to enhance application functionality. o Use AI platforms for productivity gains—such as automated document processing, smart data extraction, AI-based chatbots, and recommendation systems. o Continuously explore and experiment with emerging AI tools and frameworks that add value to development workflows.  Solution Integration: o Work on system integration using APIs for third-party services, including AI- enhanced APIs. o Leverage cloud-based AI services to embed intelligent features into applications.  Team Collaboration: o Collaborate with cross-functional teams including UI/UX, QA, DevOps, and product managers to deliver business-ready solutions. o Participate in technical discussions, code reviews, and architectural decisions.  Continuous Learning & Innovation: o Stay updated with advancements in AI, ML, and automation trends. o Identify and propose opportunities to apply AI tools to solve business or technical challenges effectively. Required Skills & Qualifications:  6–8 years of solid experience in Python application development  Minimum 2 years of development experience with the Odoo ERP framework  Exposure to using or integrating AI/ML platforms/tools like OpenAI (ChatGPT API), LangChain, Google Cloud AI, Azure Cognitive Services, etc.  Strong in RESTful API development and system integrations  Solid understanding of Odoo ORM, Python data structures, and PostgreSQL  Experience working in Agile teams and using Git for version control  Comfort with Linux environments and CI/CD pipelines Preferred/Bonus Skills:  Experience with AI-enhanced automation: e.g., document summarization, voice-to-text, recommendation APIs  Familiarity with AI productivity tools (e.g., GitHub Copilot, AI pair programming, prompt engineering basics)  Basic understanding of frontend (HTML, JS, XML) as used in Odoo  Cloud deployment exposure (AWS, Azure, or GCP)  Odoo certification is a plus Soft Skills:  Curious and proactive learner—especially in the AI space  Strong problem-solving and troubleshooting ability  Clear communication and a collaborative mindset  Comfortable adapting to fast-evolving tech environments

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

Job Description Java Developer with expertise in Prompt Engineering to join our AI-driven development team. The ideal candidate will combine robust Java backend development capabilities with hands-on experience in integrating and fine-tuning LLMs (e.g., OpenAI, Cohere, Mistral, or Anthropic), designing effective prompts, and embedding AI functionality into enterprise applications. This role is ideal for candidates passionate about merging traditional enterprise development with cutting-edge AI technologies. Key Responsibilities Design, develop, and maintain scalable backend systems using Java (Spring Boot) and integrate AI/LLM services. Collaborate with AI/ML engineers and product teams to design prompt templates, test prompt effectiveness, and iterate for accuracy, performance, and safety. Build and manage RESTful APIs that interface with LLM services and microservices in production-grade environments. Fine-tune prompt formats for various AI tasks (e.g., summarization, extraction, Q&A, chatbots) and optimize for performance and cost. Apply RAG (Retrieval-Augmented Generation) patterns to retrieve relevant context from data stores for LLM input. Ensure secure, efficient, and scalable communication between LLM APIs (OpenAI, Google Gemini, Azure OpenAI, etc.) and internal systems. Develop reusable tools and frameworks to support prompt evaluation, logging, and improvement cycles. Write high-quality unit tests, conduct code reviews, and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab. Work in Agile/Scrum teams and contribute to sprint planning, estimation, and retrospectives. Must-Have Technical Skills Java & Backend Development : Core Java 8/11/17 Spring Boot, Spring MVC, Spring Data JPA RESTful APIs, JSON, Swagger/OpenAPI Hibernate or other ORM tools Microservices architecture Prompt Engineering / LLM Integration : Experience working with OpenAI (GPT-4, GPT-3.5), Claude, Llama, Gemini, or Mistral models. Designing effective prompts for various tasks (classification, summarization, Q&A, etc.) Familiarity with prompt chaining, zero-shot/few-shot learning Understanding of token limits, temperature, top_up, and stop sequences Prompt evaluation methods and frameworks (e.g., LangChain, LlamaIndex, Guidance, PromptLayer) AI Integration Tools : LangChain or LlamaIndex for building LLM applications API integration with AI platforms (OpenAI, Azure AI, Hugging Face, etc.) Vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB) DevOps / Deployment : Docker, Kubernetes (preferred) CI/CD tools (Jenkins, GitHub Actions) AWS/GCP/Azure cloud environments Monitoring : Prometheus, Grafana, ELK Stack Good-to-Have Skills Python for prototyping AI workflows Chatbot development using LLMs Experience with RAG pipelines and semantic search Hands-on with GitOps, IaC (Terraform), or serverless functions Experience integrating LLMs into enterprise SaaS products Knowledge of Responsible AI and bias mitigation strategies Soft Skills Strong problem-solving and analytical thinking Excellent written and verbal communication skills Willingness to learn and adapt in a fast-paced, AI-evolving environment Ability to mentor junior developers and contribute to tech strategy Education Bachelors or Masters degree in Computer Science, Engineering, or related field Preferred Certifications (Not Mandatory) : OpenAI Developer or Azure AI Certification Oracle Certified Java Professional AWS/GCP Cloud Certifications (ref:hirist.tech)

Bosch Software Engineering, Data Science Pune, Maharashtra, India Posted on Jul 14, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development· Proven track record and experience with with GenAI technologieso Open source LLMs like Llama, Gemma, Mixtral etc o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc o Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..)o Understanding of SLMs such as Phi3, BERT and Transformer architectureo Vector databases like Pincone, Qdrant etc. Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model· Expertise with the following scripting languages:o Python, R, Tensorflow, Keras, Pytorcho OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs· Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools· Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools· Prior experience working on Mobility or Healthcare domain will be a plus Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails· Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS· Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project Additional Information:A Master’s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) from tier 1 institutions. If Bachelors, Machine Learning or Computer Science specialization only Qualifications BE,BTech, MCA,MTech Additional Information 5- 8 years Apply now See more open positions at Bosch

Title - AI Engineer Type - Contract Location - Remote Roles and Responsibilities: - Design and implement AI solutions using LLMs for tasks such as summarization, question answering, and document understanding. - Build and optimize retrieval-augmented generation (RAG) pipelines by combining OCR and LLMs for unstructured document processing. - Integrate LLMs and OCR tools, such as Azure Document Intelligence and Tesseract, into scalable applications. - Preprocess scanned and digital documents using OCR to extract structured and semi-structured text for LLM input. - Perform prompt engineering and fine-tuning of LLMs to enhance accuracy and task-specific performance. - Evaluate and monitor LLM+OCR system outputs for quality, bias, and hallucination risks. - Collaborate with cross-functional teams to deliver AI solutions tailored to domain-specific needs. - Stay updated on the latest developments in foundation models, Agentic AI, and OCR technologies. Qualifications : - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 4+ years of experience in AI/ML, with a focus on LLMs and prompt engineering. - Proven ability to work independently, demonstrating initiative, ownership, and accountability across all phases of solution development. - Practical understanding of SAFe Agile methodologies, with experience delivering AI/ML solutions in cross-functional Agile teams. Tools and Technologies: - Hands-on experience with LLM frameworks such as LangChain and Semantic Kernel. - Strong understanding of vector search, embedding models, and semantic retrieval (e.g., FAISS, Pinecone, Azure Cognitive Search). - Proficiency in Python, with experience integrating APIs, function calling, regular expressions, and handling LLM outputs. - Deep expertise in prompt engineering, including few-shot prompting, prompt tuning, prompt chaining, and optimization techniques for task-specific accuracy and cost control. - Solid knowledge of RAG architectures and agent design patterns (e.g., tool use, memory, planning). - Experience with OCR technologies (e.g., Tesseract, Azure Document Intelligence) for document understanding and information extraction from scanned or image-based content. - Familiarity with LLM platforms and tools like Azure OpenAI, LLMOps. - Experience deploying LLM-based applications in cloud environments, with attention to performance, reliability, and scalability.

Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : Open to fresh graduates and final-year students (B.Tech preferred from Tier 1 institutes) Apply at : careers@darwix.ai Subject Line : Application – AI Product Management Intern – [Your Name] About Darwix AI Darwix AI is a leading GenAI SaaS platform transforming how enterprise sales, service, and field teams engage customers across India, MENA, and Southeast Asia. Our solutions— Transform+ , Sherpa.ai , and Store Intel —enable real-time multilingual voice analysis, AI nudges, agent coaching, and advanced analytics for large-scale revenue and customer experience teams. We partner with top brands to power revenue growth and operational excellence. Our products process millions of interactions every month, providing real-time insights that directly impact enterprise outcomes. Role Overview We are looking for a highly motivated AI Product Management Intern to work at the intersection of AI technology and product execution. This internship is ideal for B.Tech graduates or final-year students from Tier 1 colleges (IITs, BITS, NITs, top IIITs, etc.) who are technically strong and interested in exploring a career in product management for AI and SaaS platforms. In this role, you will work closely with engineering, AI research, and design teams to help translate complex technical concepts into scalable, user-centric product features. You will also assist in shaping roadmaps, designing experiments, coordinating launches, and gathering feedback from enterprise clients. Key ResponsibilitiesTechnical Product Execution Collaborate with AI and engineering teams to understand model architectures, data pipelines, and integration requirements. Break down technical problems into clear, structured product tasks and milestones. Assist in defining feature specifications, success metrics, and test cases for AI-driven modules. Feature Design & Roadmap Support Participate in ideation and solutioning discussions for new AI features (e.g., conversation scoring, live coaching, summarization, multilingual support). Contribute to building detailed PRDs (Product Requirement Documents) and user stories. Help prioritize features and improvements based on impact, feasibility, and client feedback. Experimentation & Analysis Support design and analysis of A/B tests for new AI capabilities. Work with internal data to track feature usage, model performance, and user adoption. Prepare and present insights to senior product and engineering leaders to inform next steps. Client & Stakeholder Collaboration Assist in gathering qualitative feedback from enterprise users and internal stakeholders. Help translate client needs into actionable technical requirements and UI/UX flows. Prepare supporting materials such as workflow diagrams, mockups, and internal decks. Documentation & Quality Assurance Maintain detailed product and technical documentation for AI modules. Help in coordinating QA efforts by writing test cases and verifying model behavior in live and staging environments. Document learnings, bugs, and improvement suggestions clearly and systematically. Required Skills & Qualifications B.Tech (final year or recent graduate) from Tier 1 colleges such as IITs, BITS, NITs, or top IIITs. Strong technical foundation in data structures, algorithms, and basic ML/AI concepts. Proficiency in Python or familiarity with AI frameworks (PyTorch, TensorFlow, or Hugging Face) is a plus. Excellent analytical and problem-solving skills, with a clear, structured approach. Strong written and verbal communication skills; ability to break down complex ideas into simple narratives. High attention to detail and ownership mindset in fast-paced, iterative environments. Preferred Qualifications Exposure to building or contributing to AI/ML projects (internships, college projects, hackathons). Familiarity with SaaS product workflows or enterprise technology environments. Interest or experience in product management, tech consulting, or strategy roles. Comfort with tools such as JIRA, Notion, ClickUp, Figma, or similar collaboration and design platforms. Success in This Role Means Smooth execution of product milestones in collaboration with engineering and AI teams. Accurate and detailed technical and product documentation. Proactive identification of product gaps, bugs, and opportunities for improvement. Strong analytical contributions to decision-making on feature rollout and prioritization. Effective cross-team coordination leading to successful internal or client launches. You Will Excel in This Role If You Are technically strong but also deeply interested in how users interact with AI-driven products. Are curious, proactive, and not afraid to ask questions or challenge assumptions. Thrive in fast-paced environments where you can take ownership and see direct impact. Want to build a career that combines technical depth with product strategy and execution. How to Apply Email your resume to careers@darwix.ai Subject Line: Application – AI Product Management Intern – [Your Name] (Optional): Include a short note describing a technical project you worked on and how you would explain it to a non-technical audience. This is a rare opportunity to gain hands-on exposure to the core of AI product development at one of India's most exciting GenAI companies. If you are a high-energy, analytically driven engineer interested in shaping real-world AI products—Darwix AI would like to hear from you.

Job Title: Language Engineer Location: Remote Job Type: Full-Time About the Role: We are seeking a Language Engineer with a strong expertise in Generative AI to support the development of advanced NLP systems. In this role, you will bridge the gap between linguistic insights and cutting-edge AI models, contributing to the design, evaluation, and refinement of large language models (LLMs), prompt engineering strategies, and multilingual systems. This is a collaborative role where linguistic intuition meets deep technology. You’ll work alongside machine learning scientists, applied researchers, and product engineers to shape next-gen GenAI experiences. Key Responsibilities: Design and execute linguistic experiments to evaluate and improve generative models across multiple languages and tasks. Contribute to prompt engineering, fine-tuning, and evaluation of LLMs for conversational AI, summarization, translation, and more. Curate, annotate, and manage high-quality language datasets to support model training and benchmarking. Perform linguistic error analysis and develop rule-based or data-driven corrections for model outputs. Collaborate with research teams to publish internal findings, whitepapers, or contribute to academic papers. Support multilingual and cross-cultural GenAI development by ensuring linguistic and cultural nuance in outputs. Prototype and implement linguistic modules/tools to automate analysis and annotation workflows. Monitor emerging trends in computational linguistics, foundation models, and GenAI. Required Qualifications: Proven experience working with NLP/LLM models (e.g., GPT, BERT, T5, LLaMA, Claude, Gemini). Solid understanding of syntax, semantics, discourse, and pragmatics. Strong programming/scripting skills in Python and experience with NLP libraries (e.g., spaCy, Hugging Face Transformers, NLTK). Experience in designing or executing linguistic evaluations and A/B tests for AI models. Familiarity with large-scale data annotation, QA/QC processes, and labeling tools. Preferred Qualifications: Experience in prompt engineering and GenAI evaluation techniques. Experience with multilingual or low-resource language support in NLP systems. Strong research publication record or contributions to open-source NLP/GenAI projects. Familiarity with MLOps tools, vector databases, LLMOps, and retrieval-augmented generation (RAG). Ability to interpret and distill model behaviors into actionable insights for research teams. What You’ll Get: A chance to influence GenAI experiences and multilingual LLM development at scale. Exposure to state-of-the-art AI systems, tools, and global NLP challenges. A supportive and intellectually stimulating work environment.

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY. Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte's 2020 Technology Fast 500™. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com Key Responsibilities Edit and proofread user documentation, training content, and release communications for clarity, grammar, structure, accuracy, and tone. Ensure that all content aligns with Zenoti's editorial guidelines, Microsoft Style Guide principles, and web accessibility standards. Collaborate with the Lead for Content Localization to ensure that content is optimized for localization compatibility and can be accurately translated with minimal human intervention. Validate terminology consistency, plain language use, and sentence structure to improve the performance of AI-based translation and summarization tools . Provide detailed, constructive feedback to technical writers, supporting a culture of continuous learning and editorial excellence. Develop and maintain editorial templates, checklists, and quality benchmarks for documentation and microcopy. Perform final quality assurance reviews before publishing to the Help Center and other customer-facing platforms. Stay current with AI-powered content tools (e.g., grammar correction, summarization, SEO optimization, localization QA) and incorporate them into editorial workflows. Collaborate with SMEs, product managers, designers, and engineers to fact-check and validate technical accuracy. Participate in ongoing process improvements related to documentation workflows, metrics, and editorial automation. Qualifications Bachelor's or Master's degree in English, Journalism, Technical Communication, Computer Science, Engineering, or a related field. 8+ years of experience in technical editing, ideally in a SaaS or B2B product environment. Excellent command of English grammar, syntax, and style. Familiarity with structured authoring tools (e.g., Paligo, MadCap Flare), CMS platforms, and HTML/XML-based authoring environments. Demonstrate experience in working with Gen AI. Strong knowledge of content architecture, page composition, and digital readability principles. High attention to detail and the ability to prioritize under tight deadlines. Preferred Skills Strong familiarity with technical writing and the ability to apply inclusive language and formatting principles to ensure content is accessible and user-friendly for diverse audiences. Solid understanding of best practices for technical documentation , including keyword integration, metadata optimization, and structuring for enhanced searchability within Help Centers and AI Assistant's search engines. Proficiency in leveraging AI-powered editorial tools (e.g., Grammarly, Writer, ChatGPT, or other LLM-based applications) to enhance consistency, clarity, and editorial efficiency across content types. Exposure to structured authoring, version-controlled content environments, and the ability to work effectively within content management systems (CMS) or documentation platforms. Why Join Zenoti? Drive content quality in a high-impact role within a global tech product company. Collaborate with a cross-functional team of talented writers, designers, and developers. Help shape content experiences used by thousands of customers across 50+ countries. Gain hands-on experience with cutting-edge AI tools and global content delivery platforms. If you're passionate about high-quality content, understand how AI and localization shape user experience, and thrive in a fast-paced, collaborative environment—we'd love to hear from you. Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Job Description We seek an innovative professional with expertise in AI tools like Copilot to boost engineering productivity. The role involves identifying bottlenecks, proposing tailored GenAI solutions, and integrating them into networking product development to streamline workflows and drive AI adoption across teams. Technologies: - GenAI Algorithms, LLM's, NLP, Hugging Face, RAG, OpenAI models, Microsoft and GitHub Copilot, Agentic AI, AI-powered tools, Advanced python for Datascience, Flash , REST API, debugging tools, parser tools, troubleshooting and investigating capabilities. Required Qualifications: - 2+ years using GitHub Copilot, OpenAI, and other AI coding tools to boost development productivity. 2+ years in GenAI: model design, fine-tuning, and deployment. 3+ years in Python: building AI/ML pipelines, automation tools, and data processing scripts. Hands-on experience applying GenAI/ML for code generation, summarization, workflow automation, and virtual assistants. Delivered AI-driven impact in 2–3 engineering projects. Ability to identify and develop use cases in BI, automation, and areas like smart troubleshooting and adaptive testing. Proficient in LLMs, NLP, and AI/ML for software and networking applications. Knowledge of integrating AI with platforms like Webex, Zoom, and Teams via APIs. Skilled in scripting, automation, and AI-augmented workflows. Experienced in Agile/Scrum. Strong problem-solving, communication, and mentoring skills; able to work independently and collaboratively. Desired Skills: - GitHub Copilot certification. Experience with networking products software development. Familiarity with CI/CD, DevOps, and automation tools. Understanding of responsible AI practices. Experience with data analysis and visualization for AI productivity. Knowledge of cloud-based AI services and integrations. Primary Skills GenAI, LLMs, AI Tools, Python Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Responsibilities Design, optimize, and test prompts for LLMs tailored to diverse use cases and client needs. Fine-tune pre-trained language models using custom datasets to achieve high-quality outputs. Lead advanced NLP tasks such as summarization, sentiment analysis, and question answering. Integrate NLP modules and prompt workflows into client or product systems. Develop and maintain robust prompt libraries with version control and documentation. Collaborate with teams to define requirements and translate them into NLP solutions. Monitor and evaluate prompt performance metrics and iterate on improvements. Mentor junior team members on best practices in NLP and prompt engineering. Skills Must-have 2–3 years of experience in NLP and prompt engineering with a focus on large language models. Proficiency in Python with deep expertise in Hugging Face Transformers and OpenAI API. Good-to-have Strong understanding of vector databases such as Pinecone and FAISS. Experience working with LangChain for LLM-based workflows. Will be a plus Knowledge of RAG (Retrieval-Augmented Generation) frameworks and LlamaIndex. Familiarity with cloud AI services such as Vertex AI or Azure OpenAI. Experience with experiment tracking tools like Weights & Biases.

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We are devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Global Finance was set up in 2007 as a part of the CFO Global Delivery strategy to provide offshore delivery to Line of Business and Enterprise Finance functions. The capabilities hosted include Legal Entity Controllership, General Accounting & Reconciliations, Regulatory Reporting, Operational Risk and Control Oversight, Finance Systems Support, etc. Our group supports the Finance function for the Consumer Banking, Wealth and Investment Management business teams across Financial Planning and Analysis, period end close, management reporting and data analytics. Job Description* Candidate will be responsible for developing & validating dashboards and business reports using Emerging Technology tools like Tableau, Alteryx, etc. In addition, SQL experience is required for data management The candidate will be responsible for delivering complex and time critical data mining and analytical projects for the Secured Lending product and in addition will be responsible for analysis of data for decision making by senior leadership. Candidate will be responsible for data management, data extraction and upload, data validation, scheduling & process automation, report preparation, etc. The individual will play a key role in the team responsible for financial data reporting, adhoc reporting & data requirements, data analytics & business analysis and would manage multiple projects in parallel by ensuring adequate understanding of the requirements and deliver data driven insights and solutions to complex business problems. These projects would be time critical which would require the candidate to comprehend & evaluate the strategic business drivers to bring in efficiencies through automation of existing reporting packages or codes. The work would be a mix of standard and ad-hoc deliverables based on dynamic business requirements. Technical competency is essential to build processes which ensure data quality and completeness across all projects / requests related to business. The core responsibility of this individual is process management to achieve sustainable, accurate and well controlled results. Candidate should have a clear understanding of the end-to-end process (including its purpose) and a discipline of managing and continuously improving those processes. Responsibilities* Preparation and maintenance of various KPI reporting for Secured Lending business including performing data or business driven deep dive analysis. Understand business requirements and translate those into deliverables. Support the business on periodic and ad-hoc projects related to Secured Lending products. Develop and maintain codes for the data extraction, manipulation, and summarization on tools such as SQL and Emerging technologies like Tableau and Alteryx. Design solutions, generate actionable insights, optimize existing processes, build tool-based automations, and ensure overall program governance. Managing and improve the work: develop full understanding of the work processes, continuous focus on process improvement through simplification, innovation, and use of emerging technology tools, and understanding data sourcing and transformation. Managing risk: managing and reducing risk, proactively identify risks, issues and concerns and manage controls to help drive responsible growth (ex: Compliance, procedures, data management, etc.), establish a risk culture to encourage early escalation and self-identifying issues. Effective communication: deliver transparent, concise, and consistent messaging while influencing change in the teams. Extremely good with numbers and ability to present various business/finance metrics, detailed analysis, and key observations to Senior Business Leaders. Requirements* Education* - Masters/Bachelor’s Degree in Information Technology/Computer Science/ MCA with 10 plus years of relevant work experience. MBA would be a preferred qualification. Experience Range* 10 plus years of relevant work experience in data analytics & reporting, business analysis & financial reporting in banking industry. Exposure to Consumer banking businesses would be an added advantage. Experience around Secured Lending reporting & analytics would be preferable. Foundational skills* Strong abilities in data extraction, data manipulation and business analysis and strong financial acumen. Strong computer skills, including MS excel, Teradata SQL, and emerging technologies like Alteryx, Tableau. Prior Banking and Financial services industry experience, preferably Retail banking/Wealth management. Strong business problem solving skills, and ability to deliver on analytics projects independently, from initial structuring to final presentation. Strong communication skills (both verbal and written), Interpersonal skills and relationship management skills to navigate the complexities of aligning stakeholders, building consensus, and resolving conflicts. Querying data from multiple source Experience in data extraction, transformation & loading using SQL including troubleshooting Proven ability to manage multiple and often competing priorities in a global environment. Manages operational risk by building strong processes and quality control routines. Data Quality and Governance: Ability to clean, validate and ensure data accuracy and integrity. Desired Skills Ability to effectively manage multiple priorities under pressure and deliver as well as being able to adapt to changes. Able to work in a fast paced, deadline-oriented environment. Multiple stakeholder management Attention to details: Strong focus on data accuracy and documentation. Work Timings* 1.30 pm to 10.30 pm (will require to stretch 7-8 days in a month to meet critical deadlines) Job Location* Mumbai

Position Profile: Full-Stack Developer – Investment Analytics Platform We’re building a next-generation investment analysis system — where historical data, sector intelligence, macro signals, and holding trends can be queried using natural language and interpreted through charts, models, and narratives. We are looking for a hands-on developer with experience in: • Structuring scalable databases • Integrating LLMs (like GPT-4) into analytical workflows • Building interactive front ends • Supporting data science-driven discovery and analysis You will work closely with the founders and be part of a small, focused team creating a high-impact internal tool Company : ITUS Capital– an Asset Management firm. (https://ituscapital.com/about-us/ ) Role : Full-Stack Developer – Investment Analytics Platform Reporting to : The Founding Team Location : Chennai Skillset · Experience with Python/Streamlit, PostgreSQL and/or vector databases · 4+ years of experience applying machine‑learning or statistical models (financial markets experience is a plus) · Comfort working with time‑series and cross‑sectional data · Proven ability to design experiments and iterate rapidly on model ideas · Clear communicator who can translate technical insights for non‑technical stakeholders · Exposure to the full ML workflow: feature engineering, validation, tuning, and deployment Relevant work experience in yrs · Candidates should have 4–8 years of hands-on development experience, with a demonstrated track record of: Designing and maintaining data pipelines and time-series databases, preferably in financial or economic domains · Building full-stack analytical applications using Python (FastAPI, Pandas) and React or Streamlit · Working with structured (SQL) and unstructured data (PDFs, text, CSV) for research and analytics · Integrating LLM APIs (e.g., OpenAI, Cohere, Claude) to extract in-sights, generate summaries, or translate queries into code · Implementing retrieval-augmented generation (RAG) flows using vector databases Background industry preference: Finance, Research, Data Science, Technology Responsibilities · Build and maintain a unified data warehouse (20+ years of financial & macro data) · Create data pipelines to ingest returns, fundamentals, macro, and holdings · Develop APIs that connect LLMs to structured data (RAG, SQL → Natural Language) · Integrate ML models (XGBoost, clustering, time-series analytics) into backend · Design front-end interface for interactive querying, pattern discovery, and visualizations · Implement pattern logging, summarization, and export modules · Optimize for performance, security, and modularity

🚨 We’re Hiring: Content Researcher at RM Group of Education! 🚨 As a Content Researcher at RM Group of Education, you will play a key role in creating, curating, and validating high-quality academic and informational content designed specifically for students, aspirants, and learners across various digital platforms. This role is ideal for individuals with a strong grasp of the English language, excellent research and writing skills, and a keen understanding of academic content standards. 🔹 Position: Content Researcher 🔹 Location: Noida 🔹 Employment Type: Full-Time / Internship 🔹 Reports To: Content Manager Key Responsibilities : Conduct detailed research on academic topics, educational trends, entrance exams, and institutions Curate reliable and factually accurate information from verified sources Assist in creating well-structured content briefs and outlines for articles, blogs, and web pages Write and edit clear, engaging, and error-free content tailored to student and learner audiences Ensure that all content meets quality, accuracy, and relevance standards Organize and maintain source documentation for transparency and accuracy Collaborate with writers, editors, and the SEO team to optimize content performance Key Requirements: Strong command over written English and grammar Excellent research, analysis, and summarization skills Ability to explain complex academic concepts in a simple and student-friendly manner Strong attention to detail and fact-checking Basic understanding of academic content structure and tone Self-motivated, deadline-driven, and eager to learn Familiarity with Google Search and online research tools What You’ll Gain: Opportunity to grow in a leading education-focused organization Experience in academic content creation and digital publishing Exposure to education systems, exams, and college data research A learning-rich environment with a collaborative and supportive team.

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY. Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte’s 2020 Technology Fast 500™. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com Key Responsibilities Edit and proofread user documentation, training content, and release communications for clarity, grammar, structure, accuracy, and tone. Ensure that all content aligns with Zenoti's editorial guidelines, Microsoft Style Guide principles, and web accessibility standards. Collaborate with the Lead for Content Localization to ensure that content is optimized for localization compatibility and can be accurately translated with minimal human intervention. Validate terminology consistency, plain language use, and sentence structure to improve the performance of AI-based translation and summarization tools. Provide detailed, constructive feedback to technical writers, supporting a culture of continuous learning and editorial excellence. Develop and maintain editorial templates, checklists, and quality benchmarks for documentation and microcopy. Perform final quality assurance reviews before publishing to the Help Center and other customer-facing platforms. Stay current with AI-powered content tools (e.g., grammar correction, summarization, SEO optimization, localization QA) and incorporate them into editorial workflows. Collaborate with SMEs, product managers, designers, and engineers to fact-check and validate technical accuracy. Participate in ongoing process improvements related to documentation workflows, metrics, and editorial automation. Qualifications Bachelor’s or Master’s degree in English, Journalism, Technical Communication, Computer Science, Engineering, or a related field. 8+ years of experience in technical editing, ideally in a SaaS or B2B product environment. Excellent command of English grammar, syntax, and style. Familiarity with structured authoring tools (e.g., Paligo, MadCap Flare), CMS platforms, and HTML/XML-based authoring environments. Demonstrate experience in working with Gen AI. Strong knowledge of content architecture, page composition, and digital readability principles. High attention to detail and the ability to prioritize under tight deadlines. Preferred Skills Strong familiarity with technical writing and the ability to apply inclusive language and formatting principles to ensure content is accessible and user-friendly for diverse audiences. Solid understanding of best practices for technical documentation, including keyword integration, metadata optimization, and structuring for enhanced searchability within Help Centers and AI Assistant’s search engines. Proficiency in leveraging AI-powered editorial tools (e.g., Grammarly, Writer, ChatGPT, or other LLM-based applications) to enhance consistency, clarity, and editorial efficiency across content types. Exposure to structured authoring, version-controlled content environments, and the ability to work effectively within content management systems (CMS) or documentation platforms. Why Join Zenoti? Drive content quality in a high-impact role within a global tech product company. Collaborate with a cross-functional team of talented writers, designers, and developers. Help shape content experiences used by thousands of customers across 50+ countries. Gain hands-on experience with cutting-edge AI tools and global content delivery platforms. If you're passionate about high-quality content, understand how AI and localization shape user experience, and thrive in a fast-paced, collaborative environment—we’d love to hear from you. Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Role: AI Engineer Intern (Full-time Internship, Remote) This is a remote full-time paid internship for an AI Engineer. You will help us push the boundaries of what LLMs can do by designing, testing, and optimizing prompts, building multi-step prompt pipelines, writing scaffolding code around LLM calls, benchmarking outputs, and integrating AI features into real-world products using Python and NLP techniques. Responsibilities Prompt Crafting: Design, edit, and refine prompts for different use cases and models. Prompt Chaining: Break down complex tasks into smaller subtasks and build effective multi-step prompt workflows (e.g., summarization → critique → rewrite). Benchmarking & Evaluation: Use Python (scripts and notebooks) to run automated performance benchmarks based on KPIs like accuracy, cost, and latency. Feature Building: Write Python scaffolding to integrate LLM calls into usable product features and pipelines. Hybrid NLP: Use traditional NLP techniques (e.g., regex, spaCy, NLTK) alongside LLMs to improve output quality, preprocessing, or efficiency. Iterative Improvement: Run A/B tests, gather output samples, and tweak prompts or logic based on failure cases and edge conditions. KPI Optimization: Ensure prompt chains and model outputs meet goals like quality, relevance, length, and compute cost. Model Awareness: Stay updated with the latest in GPT, Claude, Gemini, and open-source LLMs. Tooling & Automation: Build or use lightweight tooling for prompt testing, logging, and result comparison. Documentation: Maintain a structured prompt and workflow logbook with evaluations, learnings, and architecture. Salary: Rs.15,000/month Duration: 3–6 months Must-Have Qualifications Strong Python scripting and automation experience. Experience using OpenAI or other LLM APIs. Ability to build small-scale tools or workflows that integrate and manage prompt-based logic. Understanding of prompt chaining or multi-step reasoning with LLMs. Familiarity with Jupyter/Colab for fast prototyping. Awareness of basic NLP techniques and when to combine them with LLM outputs. Comfort with debugging and improving outputs using test inputs and edge cases. Strong communication and analytical skills. Familiarity with basic evaluation techniques (BLEU, ROUGE, token count, etc.). Nice-to-Have LangChain or similar framework experience. Experience working with vector DBs, retrieval-augmented generation (RAG), or memory components. Knowledge of managing context windows, formatting outputs, or chaining across models. Open-source contributions, AI blog posts, or published prompt collections. Ideal For Final-year students who have semester break for internship or recent grads ambitious about AI/LLMs and looking to develop real-world AI engineering, prompt design, and hybrid NLP-LLM skills. You’ll work closely with founders to build robust, high-performing AI workflows and features for production-grade products. PPO offer post successful internship.

AI Ops Engineer2 Job Title: AI Ops Engineer Experience: 3–5 years About The Role We are seeking a hands-on and proactive AI Ops Engineer to operationalize and support the deployment of large language model (LLM) workflows, including agentic AI applications, across Marvell’s enterprise ecosystem. This role requires strong prompt engineering capabilities, the ability to triage AI pipeline issues, and a deep understanding of how LLM-based agents interact with tools, memory, and APIs. You will be expected to diagnose and remediate real-time problems, from prompt quality issues to model behavior anomalies. Key Responsibilities Design, fine-tune, and manage prompts for various LLM use cases tailored to Marvell’s enterprise operations. Operate, monitor, and troubleshoot agentic AI applications, including identifying whether Issues Stem From Prompt quality or structure Model configuration or performance Tool usage, API failures, or memory/recall issues Build diagnostics and playbooks to triage LLM-driven failures, including handling fallback strategies, retries, or re-routing to human workflows. Collaborate with architects, ML engineers, and DevOps to optimize agent orchestration across platforms like LangGraph, CrewAI, AutoGen, or similar. Support integration of agentic systems with enterprise apps like Jira, ServiceNow, Glean, or Confluence using REST APIs, webhooks, and adapters. Implement observability and logging best practices for model outputs, latency, and agent performance metrics. Contribute to building self-healing mechanisms and alerting strategies for production-grade AI workflows. Required Qualifications 3–6 years of experience in software engineering, DevOps, or ML Ops with exposure to AI/LLM workflows. Strong foundation in prompt engineering and experience with LLMs like GPT, Claude, LLaMA, etc. Practical understanding of AIOps platforms or operational AI use cases (incident triage, log summarization, root cause analysis, etc.). Exposure to agentic AI architectures, such as LangGraph, AutoGen, CrewAI, etc. Familiarity with scripting (Python), RESTful APIs, and basic system debugging. Strong analytical skills and the ability to trace issues across multi-step pipelines and asynchronous agents. Good-To-Have Glean DevRev Codium Cursor Atlassian AI Databricks Mosaic AI

NOTICE PERIOD: - 15-20 DAYS ONLY Role Summary: We are seeking an AI Architect to lead strategic AI transformation initiatives within the Banking, Financial Services, and Insurance (BFSI) domain. This role demands deep hands-on experience in AI, Machine Learning (ML), and Generative AI (GenAI), along with the ability to engage directly with C-level stakeholders, align technical delivery with business objectives, and drive enterprise-wide adoption of advanced AI solutions. The ideal candidate is a techno-strategic leader who can take AI/ML/GenAI projects from ideation to production—building architectures, leading cross-functional teams, and ensuring regulatory and operational alignment in BFSI environments. Key Responsibilities: Consulting & Business Alignment • Partner with senior business and IT leadership, including CIOs, CDOs, and COOs, to identify high-impact use cases across retail banking, insurance, credit, and capital markets. • Translate complex BFSI challenges into technically feasible and scalable AI/ML/GenAI solutions. • Create strategic roadmaps, capability assessments, and PoV/PoC execution plans that align with business KPIs and regulatory needs. Solution Architecture & Delivery Leadership • Design and lead delivery of AI/ML/GenAI pipelines covering data ingestion, model training, validation, deployment, and monitoring. • Build and scale GenAI-based solutions like LLM-driven chatbots, intelligent document processing, RAG pipelines, summarization tools, and virtual assistants. • Architect cloud-native AI platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain). • Define and implement MLOps and LLMOps frameworks for versioning, retraining, CI/CD, and production observability. • Ensure adherence to Responsible AI principles, including explainability, bias mitigation, auditability, and compliance with BFSI regulations (GDPR, RBI, SOC2, etc.). Engineering & Integration • Work closely with data engineering teams to acquire, transform, and pipeline data from core banking systems, CRMs, claims systems, and real-time feeds. • Design architecture for data lakes, feature stores, and vector databases supporting AI and GenAI use cases

Job Category Job Type: Job Location: Salary Years of Experience: Position Overview This position plays a vital role within the Payment Integrity team by contributing to the development, enhancement, and maintenance of medical policy content. The role is responsible for converting healthcare guideline-driven concepts into system-readable configurations and performing comprehensive testing to ensure accuracy. Responsibilities include configuration and testing, ensuring adherence to industry standards, and collaborating with cross-functional teams to validate outputs and maintain quality. This role needs passionate people with good interpersonal, analytical & problem-solving skills. Having hands-on expertise in one or more of the following areas is an added advantage. Payment Integrity. Clinical Coding. Medical Coding. Denials Management. Key Responsibilities Analyze and interpret concepts to ensure accurate configuration in line with medical coding, billing, and reimbursement guidelines. Analyze medical coding, reimbursement guidelines and configure logic to support accurate concept execution. Conduct in-depth reviews of contracts, policies, and federal/state regulations to formulate edit requirements. Apply industry coding guidelines to claims processes effectively. Demonstrate experience in analyzing and resolving coding issues for payment integrity purposes. Analyze, develop, and implement system configurations. Collaborate with subject matter experts (SMEs) and technical teams to translate regulatory and policy requirements into functional edit specifications. Translate editing logic into platform configurations with support from SMEs, and stakeholders to ensure clear understanding and configuration of concepts. Collaborate with cross-functional teams to assess configuration needs and implement appropriate solutions. Assist in developing and maintaining payment integrity policies and procedures. Review configurations to ensure completeness and accuracy based on the medical coding and billing guidelines. Troubleshoot and perform root-cause analysis for edit logics not functioning as intended. Effectively pinpoint configuration discrepancies and ensure concepts are deployed successfully and on schedule. Audit and validate concepts against healthcare guidelines; identify and address gaps with upstream teams. Conduct rigorous testing to verify concept accuracy and performance across outpatient, professional, and inpatient claim scenarios adhering to the coding guidelines. Perform acceptance testing to validate configuration accuracy. Stay updated with industry regulations and compliance requirements to ensure the configuration process adheres to relevant standards. Perform duties independently with a high level of accuracy and professionalism. Exhibit detail-oriented mindset with a focus on quality and accuracy in concept configuration & testing. Familiarity with AI tools and prompt engineering to support medical content development, automation of policy logic, and Concept generation. Design and optimize prompts for large language models (LLMs) to generate accurate and clinically relevant medical content. Experience in utilizing AI tools (e.g., Gemini, NotebookLLM, ChatGPT, Claude, Perplexity, Grok, Bard, or custom LLMs) to assist in ideation, content creation, review, summarization, and validation. Key Skills Domain Expertise in US Healthcare Medical Coding, Medical Billing, Payment Integrity, Revenue Cycle Management (RCM), Denials Management. Codeset Knowledge like CPT/HCPCS, ICD, Modifier, DRG, PCS, etc. Knowledge on policies like Medicare/Medicaid Reimbursement, Payer Payment Policies, NCCI, IOMs, CMS Policies etc. Proficiency in Microsoft Word and Excel, with adaptability to new platforms. Excellent verbal & written communication skills. Excellent Interpretation and articulation skills. Strong analytical, critical thinking, and problem-solving skills. Willingness to learn new products and tools. Strong time management skills and ability to meet deadlines. Qualifications: Education & Certification (one of the following required): Bachelor of Science in Nursing (B.Sc. Nursing). Pharmacist Degree (B.Pharm, M.Pharm or PharmD). Life science Degree (Microbiology, Biotechnology, Biochemistry, etc). Medical Degree (e.g., MBBS, BDS, BPT, BAMS etc). Other Bachelors Degree with relevant experience. Certification Requirements Candidates with certifications like CPC, CPMA, COC, CIC, CPC-P, CCS, or any specialty certifications from AHIMA or AAPC will be given preference. Additional weightage will be given for AAPC specialty coding certifications. Experience 0-1 years of experience in Payment Integrity, Medical Coding, Denial Management. Experience in payment integrity, claims processing, or related functions within the US healthcare system. Experience in denial management, retrospective payment audits, or medical coding. Familiarity with Medical coding guidelines, such as ICD, CPT, Modifiers, Medicare, Medicaid, or commercial payer guidelines. Work Location: Jayanagar Bangalore. Work Mode: Work from Office. Benefits Best-in-class compensation. Health insurance for Family. Personal Accident Insurance. Friendly and Flexible Leave Policy. Certification and Course Reimbursement. Medical Coding CEUs and Membership Renewals. Health checkup. And many more!

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

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning) Location: Remote Location Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity. Job Type: Full-time About the role We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred. Responsibilities Responsible for analyzing the data, identifying patterns, and do a detailed EDA. Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks. Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets. Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval. Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems. Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders. Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects Required Qualifications Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field. 4–6 years of industry experience in data science or machine learning roles. Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing. Hands-on knowledge of: > Programming languages : Python (primary), SQL, R (optional) > Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers > Distributed computing : PySpark, Dask > Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML > Data Engineering Tools : Apache Spark, Delta Lake, Airflow > ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib > Version control and collaboration : Git, GitHub, Jupyter, VSCode Preferred Qualifications Masters or Ph.D. in a quantitative or technical field. Experience with deploying machine learning pipelines in production using CI/CD tools. Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads. Understanding of MLOps and model lifecycle management best practices. Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems. What We Offer Competitive salary and performance bonuses Flexible working hours and remote options Opportunities for continued learning and research Collaborative, high-impact team environment Access to cutting-edge technology and compute resources To apply, send your resume to jobs@megovation.io to be part of a team pushing the boundaries of data-driven innovation.

Job Title : Machine Learning Engineer (NLP & Graph Analytics) Company Overview FWS is at the forefront of innovation in AI and ML .We are dedicated to solving complex challenges and creating impactful solutions through the power of artificial intelligence and machine learning. Our team is composed of passionate and driven experts who are committed to pushing the boundaries of what's possible. We are currently seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team and contribute to our next generation of intelligent products. Job Summary We are looking for an experienced Machine Learning Engineer with a strong background in building and deploying sophisticated machine learning models. The ideal candidate will have a proven track record of working with diverse datasets, a deep understanding of natural language processing (NLP), and hands-on experience with state-of-the-art deep learning frameworks. In this role, you will be responsible for the entire lifecycle of machine learning model development, from data acquisition and preprocessingincluding JSON extraction and graph database modeling with Neo4jto training, evaluation, and deployment via APIs. You will work with cutting-edge technologies, including Stanford NLP and large language models like Llama 3.2, to develop innovative solutions that drive our business forward. Key Responsibilities ML Model Development & Optimization : Design, develop, and implement robust machine learning models using Python and its associated libraries. You will be responsible for the end-to-end model lifecycle, including data preprocessing, feature engineering, model training, and performance evaluation. Deep Learning & NLP Utilize your expertise in deep learning with PyTorch to build and fine-tune complex neural networks. A key focus will be on Natural Language Processing (NLP) tasks, leveraging the Stanford NLP library for tasks such as sentiment analysis, named entity recognition, and coreference resolution. Large Language Models (LLMs) Stay at the forefront of AI by working with and fine-tuning large language models, specifically Llama 3.2. You will explore and implement its capabilities for tasks such as text generation, summarization, and question answering. Data Engineering & Analytics Conduct in-depth data analysis and handle complex data pipelines. This includes robust JSON extraction, transformation of semi-structured data, and modeling complex relationships using graph databases like Neo4j to build knowledge graphs that feed our ML systems. API Development & Deployment Develop and maintain scalable RESTful APIs to serve machine learning models in a production environment. Collaborate with our engineering teams to ensure seamless integration and contribute to our MLOps practices for scalability and reliability. Research & Innovation Stay current with the latest advancements in machine learning, deep learning, and NLP. Proactively identify and champion new technologies and techniques that can enhance our products and processes. Qualifications And Skills Educational Background : A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Bachelor's degree with significant relevant experience will also be considered. Programming Proficiency : Expert-level programming skills in Python and a strong command of its data science and machine learning ecosystem (e.g., Pandas, NumPy, Scikit-learn). Deep Learning Expertise : Proven experience in building and deploying deep learning models using PyTorch. Natural Language Processing (NLP) : Demonstrable experience with NLP techniques and libraries, with specific expertise in using the Stanford NLP toolkit. Large Language Models (LLMs) : Hands-on experience with and a strong understanding of large language models, including practical experience with models like Llama 3.2. Data Handling : Strong proficiency in handling and parsing various data formats, with specific experience in JSON extraction and manipulation. API Development : Solid experience in developing and deploying models via RESTful APIs using frameworks like Flask, FastAPI, or Django. Graph Database Knowledge : Experience with graph databases, particularly Neo4j, and understanding of graph data modeling and querying (Cypher). Problem-Solving Skills : Excellent analytical and problem-solving abilities with a talent for tackling complex and ambiguous challenges. Preferred Qualifications Published research in top-tier machine learning or NLP conferences. Experience with MLOps tools and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with other NLP libraries and frameworks (e.g., spaCy, Hugging Face Transformers). Contributions to open-source machine learning projects. (ref:hirist.tech)

We are looking for a highly skilled and motivated Frontend Lead to join our team at LSEG. Your role will be crucial in connecting our Forge Design System with our agile scrum teams. As the ideal candidate, you should have a strong background in frontend development, extensive knowledge of CI/CD pipelines, proficiency in Node.js, React, accessibility (a11y), Adobe Experience Manager (AEM), and Git. If you are passionate about creating user-friendly web applications, implementing best practices, and fostering collaboration within an innovative environment, we would like to hear from you. Your key responsibilities will include collaborating with the team to ensure consistency in design guidelines across frontend development, taking ownership of frontend development efforts, working closely with scrum teams to understand project requirements and provide technical mentorship, developing and maintaining CI/CD pipelines for streamlined deployment processes, providing mentorship and support to team members for their growth and skill development, ensuring the implementation of standard methodologies like code quality, performance optimization, and accessibility standards, leading version control and branching strategies using Git, resolving technical issues in frontend development, and staying updated with industry trends and new technologies. To be successful in this role, you should have a BS degree in Computer Science or a related field, or equivalent experience, along with at least 10 years of professional experience in software development, including a minimum of 3 years dedicated to application or web service development. You should also have over 5 years of experience in crafting and building web applications using technologies such as HTML5, CSS3, Javascript, and frameworks like ReactJS, Vue, and Angular. Demonstrated leadership capabilities, experience with geographically distributed engineering teams, hands-on experience in developing marketing solutions on AEM, expertise in delivering scalable software libraries, proficiency in SDK development for Java, NodeJS, and REACT JS, and the ability to define digital technology strategies are also essential. You should possess strong problem-solving skills, excellent communication abilities, knowledge of integrating accessibility components, familiarity with version control systems like Git, understanding of the full software development lifecycle, experience working in agile development teams, and proficiency in building applications for different platforms. Having extensive experience with AEM and accessibility, understanding of authentication schemes like OAuth, familiarity with design systems, knowledge of technologies like natural language processing and machine learning, experience with web services using PHP, Java, or Python, proficiency in designing APIs and RESTful web services, and understanding of agile software development methodologies will give you a competitive edge. This role is based on UK business hours with occasional weekend work required. LSEG is a global financial markets infrastructure and data provider focused on driving financial stability, empowering economies, and enabling sustainable growth. If you join us, you will be part of a diverse and collaborative culture that values individuality, encourages new ideas, and is committed to sustainability. Together, we aim to support sustainable economic growth and the transition to net zero while creating inclusive economic opportunities.,

Job Description As a Senior Principal Software Engineer in the Foundational Services organisation, you will play a pivotal role in delivering cutting-edge SaaS capabilities for Oracle's market-leading SaaS products. Our SaaS Engine is a next-generation platform designed to revolutionize SaaS ownership by leveraging advanced technologies like AI, polyglot databases, high-performance computing, and user centric design. Responsibilities Role Specific Responsibilities Architecting the SaaS Engine: Utilize state-of-the-art technologies such as language models, high-performance compute, next-generation Ul technology, and cloud-native architecture to build the foundation for Oracle's market-leading SaaS applications. Driving Innovation: Continuously explore and implement innovative solutions to enhance the SaaS Engine's capabilities, efficiency, and user experience. Collaborating with Cross-Functional Teams: Work closely with product managers, developers, and other stakeholders to ensure the SaaS Engine aligns with business objectives and delivers exceptional value to customers. Mentoring and Guiding: Provide technical leadership and mentorship to team members, fostering a culture of innovation and excellence. Technical Skills: Cloud Native Principles and Architectures: Expertise in designing scalable and resilient cloud-based solutions. API-Driven Architecture: Proficiency in creating layered and abstracted designs using APls. Design Documentation: Ability to create comprehensive design documentation, including artefacts like sequence diagrams. Cloud Native Technologies: Familiarity with Kubernetes, Docker, serverless compute, software-driven networking, and identity and access management. API Standards: Knowledge of API standards (e.g., OpenAPI, RESTful AP|s) and related concepts (e.g., JSON, JSON Schema). Databases: Experience with multiple database technologies (e.g., Key/Value, Graph, Document, RDBMS). Programming: Reasonable proficiency in at least one programming language (e.g., C, C++, Java, Python). Nice to have: High-Performance Computing: Familiarity with high-performance computing (e.g., CUDA). Financial Engineering: Experience in computational finance, actuarial algorithms or related area such as scientific computing Generative Al: Experience in generative Al, usage of large language models for data summarization and usability enhancement Soft Skills: Blueprints and Roadmaps: Ability to curate blueprints and define roadmaps for complex platforms. Presentation and Articulation: Effective communication skills to present designs to diverse audiences. Hands-On Approach: Willingness to be involved in practical aspects of the work. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field or comparable experience. At least 10+ years of experience in designing and implementing complex cloud-native architectures. (Will consider candidates with exceptional experience and demonstrated skills even if they have less than 10 years.) Experience building computational models for insurance actuarial calculations Strong understanding of API design principles and best practices, with demonstrable experience in API design. While not an absolute requirement, candidates with experience contributing to API standards bodies, open-source projects will be highly regarded. Experience working with various database technologies. Familiarity with high-performance computing concepts. Excellent communication and collaboration skills. Advanced degrees (e.g., Master's, PhD) in a relevant field will be highly regarded. A passion for learning and staying up-to-date with emerging technologies. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

We are looking for a passionate and creative AI Video Editing Intern to assist our content and media teams in producing engaging and visually appealing videos. This role offers hands-on experience with both traditional editing software and cutting-edge AI video tools. It's a great opportunity for someone looking to gain real-world skills in video production and AI-powered workflows. Key Responsibilities: Assist in editing videos using AI tools and traditional editing software. Support in creating short-form and long-form video content for social media Use AI tools for tasks such as automatic captioning, background replacement, video summarization, and more. Organize and manage video footage, assets, and project files. Collaborate with designers, content creators, and marketing teams to meet project goals. Stay updated on new AI tools and editing techniques to bring innovation to the content. Requirements: Basic knowledge of video editing software Interest in AI tools for video editing Strong sense of visual storytelling, pacing, and creativity. Willingness to learn and adapt to new technologies. Ability to work independently and take feedback constructively. A portfolio or examples of previous video editing work is a plus. Preferred Skills Familiarity with motion graphics or animation tools. Basic knowledge of social media platforms and video content formats. Understanding of file formats, resolutions, and export settings. What You’ll Gain: Experience working with a creative and tech-forward team. Hands-on exposure to AI-powered video production tools. A chance to build a professional portfolio. Letter of recommendation and internship certificate upon successful completion. Networking and mentoring opportunities. Job Type: Full-time Pay: ₹6,000.00 per month Schedule: Day shift Work Location: In person

Job Description – Accounts Executive This position will have responsibilities related to accounting and to serving Aimler Solutions and its affiliates as Aimler Solutions clients. The position will be in Noida, India. Job Duties/ Responsibilities: · Help Ensure accuracy, quality control, and overseeing the profitability of the company. · Coordinate with warehouses, and other supply chain partners to track and maintain inventory records and keep up-to-date status on Inventory management. Experience working with costing inventory, valuation. · Assist in analyzing pricing and gross margins of products for various channels and platforms. · Assist in building a chart of accounts based on business functions and reporting needs. · Assist in maintaining and balancing the general ledger in an accurate, complete, and up to date manner. · Perform all activities related to the accounts payable function including reviewing, coding, and processing payments. Conduct wire transfers, issues checks and remit payments to vendors and others. · Perform account receivable functions including invoicing, deposits, collections, and revenue recognition. · Assist in Performing payroll functions as needed such as Collect, confirm and process timesheets and overtime, track employee vacation and sick time in an accurate and timely manner, and submit payroll taxes. · Monitor the preparation of the monthly & End of Financial Year accounting reporting packages. Prepare financial reports through the collection, analysis, and summarization of data, and other reports as needed. · Experience managing cash flow for small businesses . Prepare and present cash flow, inventory forecast, and budgeting. · Remain as a point of contact and liaise with banks, vendors, customers for any banking and finance related activities. · Proactive in raising questions and issues to bring to Leadership's attention. · Point of contact for escalation for any accounting related issues. Conduct reconciliation of all accounts on an as-needed basis · Utilize accounting and financial data to conduct thorough analysis of procurement transactions. · Apply analytical skills to identify trends, patterns, and anomalies within procurement data. · Monitor and analyze procurement costs, ensuring alignment with budgetary constraints. · Provide insights on cost-saving opportunities and efficiency improvements in the procurement process. Qualifications · CPA/ MBA or any equivalent accounting degree . · 5+ years of relevant experience working in accounting and bookkeeping. · Thorough knowledge and understanding of GAAP. · Working in consumer products and e-commerce industry is a plus. · Working with US clients or knowledge base is a plus. · Strong verbal and written communication skills · Proficient skills in QuickBooks, and Microsoft Excel · Experience with accounts payable, accounts receivable, payroll, and general ledger · A high degree of accuracy and attention to detail Skill Sets: · Strong analytical skills and attention to detail · proven skills in Microsoft Office excel, word, power point using Quick books and various computer systems. · Attention to detail and problem-solving skills. · Ability to work in a fast paced and international and diverse environment. · Strong communication skills · Skills to work with multiple parties including customers, vendors, and other service providers in order to collect required information for bids/ quotes. · Strong problem-solving skills. · Experience with any ERP is preferable. · Ability to multi-task, priorities, co-ordination, and manage time effectively. Job Type: Full Time Job Shift Timing: Night Shift Only Location: Noida CTC Offered : 6 to 7 LPA (based on experience, skills and performance in the interview) Job Type: Full-time Pay: ₹600,000.00 - ₹700,000.00 per year Schedule: Night shift Ability to commute/relocate: Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): This job is for Night Shift Only, Are you comfortable to work in Night Shift? How soon you can join? Are you serving Notice Period? Current and Expected CTC? Experience: US Accounting: 8 years (Required) Work Location: In person