1136 Chatbot Jobs - Page 2

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Java Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 3 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Manual Testing Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Link to Apply is at the bottom of the JD. Please read the requirements carefully before applying.About LimeChatWhy this role mattersOur Product team is scaling quickly. As an Associate Product Manager , you’ll keep the engine humming by writing crisp docs, coordinating demos, and shepherding custom bot builds—from brief to ship. Your work frees senior PMs to focus on strategy while ensuring nothing slips through the cracks.ResponsibilitiesOwn product documentation: Maintain release notes, API guides, and internal wikis so everyone—from Sales to Support—has the latest intel.Draft feature PRDs: Translate fuzzy ideas into clear problem statements, user stories, and acceptance criteria.Build demo bots: Configure sandbox flows in our bot builder to wow prospects and investors.Client onboarding liaison: Gather requirements for custom implementations, align timelines, and manage feedback loops.Oversee custom bot development: Work with Design & Engineering to scope, track, and deliver bespoke solutions on time.Market & user research: Conduct quick competitor teardowns and user interviews to inform backlog prioritisation.Metrics & QA: Define success metrics, run smoke tests, and monitor dashboards post-launch.Must-havesEarly-career product exposure: 0–2 yrs full-time or 2+ internships in product / consulting / engineering.Docs that sing: Provide a link or PDF sample of a PRD, API spec, or product wiki page you authored .Sprint ownership: Led ≥2 Agile sprints in Jira/Linear—attach a brief summary in your résumé or application form.Data literacy: Can demo VLOOKUP, pivot tables, and run a basic SELECT … LIMIT 10 in SQL.Stakeholder translation: List one project where you gathered client requirements and shipped a feature within deadline.Prototype & demo skills: Comfortable building a bot or API mock (Dialogflow / Postman / LangChain) and presenting it live.Nice-to-haveHands-on with no-code/chatbot builders (Dialogflow CX, Rasa, LangChain agents, WhatsApp Business APIs).Basic scripting in Python or JS for quick automations or API pokes.Familiarity with UX tools (Figma, Whimsical) and mapping customer journeys.Exposure to SaaS onboarding metrics (activation, time-to-value, NPS, NRR).Client-facing experience—requirements workshops, UAT support, or implementation projects.Certifications in product/agile (CSPO, AIPMM, PSM) or project management (PMP).Past work with analytics stacks (Mixpanel, Amplitude, Looker Studio) to track feature usage.Growth PathBenefitsUnlimited PTO / sick leave (minimum 15 days encouraged)Subsidised fitness membershipFree lunch and snacksAnnual company retreatBring your dog/cat to work 🐶How to ApplyDoes this role sound like a good fit? Apply here Choose “Associate Product Manager (APM)” in the dropdown.

About The Company Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us! About The Role We are looking for a visionary leader to design, develop, and deliver strategic data-centric insights by leveraging next-generation analytics and BI technologies. This is not a traditional reporting role—we seek someone who is data-centric, insight-driven, and eager to drive meaningful impact through innovative, scalable solutions. This role is perfect for someone who wants to enable innovation and growth, is passionate about data storytelling, and brings a future-forward mindset, particularly around AI-driven BI and conversational intelligence. Responsibilities Become an expert on internal and external data trends relevant to Netomi’s business and product ecosystem. Design and maintain BI dashboards and tools that enable teams to independently track and understand business metrics. Conduct deep-dive analysis into chatbot performance, user interactions, and conversational flows to identify key optimization opportunities. Collaborate with product, engineering, and customer success teams to translate conversational analytics into actionable insights. Integrate and analyze data from conversational platforms (e.g., chatbot logs, NLU/NLP systems) to improve intent accuracy, resolution rates, and customer satisfaction. Leverage Generative BI tools to create dynamic, automated reports and data narratives that respond to natural language queries. Partner with enterprise architects to ensure solutions align with broader data architecture and governance principles. Drive automation of recurring reporting tasks and streamline data workflows using scripting and scheduling tools. Monitor AI-driven systems for accuracy, bias, and explainability in outputs—ensuring business users trust the insights provided. Requirements 7+ years of experience designing and developing BI and analytics solutions, including leadership responsibilities. Experience with generative BI platforms (e.g., ThoughtSpot, Tableau Pulse, Microsoft Copilot in Power BI) and natural language query systems. Proven expertise in chatbot analytics, conversational flow optimization, and voice-of-customer data interpretation. Hands-on experience with SQL, scripting languages (Python or R), and data visualization tools (Quicksight, PowerBI, Tableau, Qlik). Solid understanding of data modeling, ETL processes, and data architecture best practices. Ability to translate complex data into clear business recommendations using interactive dashboards and storytelling techniques. Strong stakeholder management and communication skills, with the ability to present insights to both technical and non-technical audiences. Experience leading small, agile teams and working cross-functionally in a fast-paced environment. Nice to Have Familiarity with NLP/NLU systems and how they generate structured data from conversation logs. Experience with customer experience analytics, support automation, or virtual agent performance metrics. Background in AI explainability and building trust in AI-generated insights. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking an entry level AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Assist in developing AI-driven solutions using LLMs and RAG (Retrieval-Augmented Generation). Integrating APIs like OpenAI or LLama. Support the design and testing of AI-enhanced workflows. Implement database interactions (MySQL or PostgreSQL for structured data). Write and optimize Python/Node.js scripts for the applications. Assist in developing production-grade ML models to enhance customer experience, content recommendation, content generation. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Requirements 1 - 3 years of experience in AI/ML engineering. Strong programming skills in Python (FastAPI, Flask) or Node.js. Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai, LangChain, LlamaIndex). Familiarity with RESTful APIs and Graph Databases (Neo4j, ArangoDB). Basic understanding of cloud platforms (AWS, Azure, GCP). Passion for AI, NLP, and chatbot development. Familiarity with MLOps platforms, such as Kubeflow or MLFlow. Familiarity with one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Bonus: Knowledge of UI frameworks (React, Next.js). Good to have – Qdrant or equivalent vector databases. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Job requisition ID :: 82486 Date: Jun 26, 2025 Location: Delhi Designation: Consultant Entity: Deloitte India LLP Y our potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals. Job Description Design, develop, and deploy chatbots and conversational experiences. Experience with hosting and deploying applications on Azure or AWS. Managing cloud infrastructure, deploying applications, ensuring scalability and security, optimizing performance, and troubleshooting issues. Expertise in cloud services and automation tools. Work closely with stakeholders to gather requirements and translate them into technical specifications. Conduct testing and debugging to ensure the reliability and performance of chatbot solutions. Provide ongoing support and maintenance for deployed chatbots, including troubleshooting and resolving issues. Stay updated on industry trends and best practices related to conversational AI and customer engagement. Requirements: Education: Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred. Experience: 5+ years in software development, or related roles. Proficiency in Java programming language and J2EE technologies, including servlets, JSP, EJB, JMS, JDBC, and JPA. Proven experience in integrating WhatsApp APIs for seamless communication solutions. Strong proficiency in designing, developing, and deploying scalable microservices on cloud platforms using Java Spring Boot. Skilled in building responsive server-side applications with Node.js and implementing efficient messaging with RabbitMQ and Redis . Experience in working with web services technologies, including SOAP, REST, and JSON/XML with knowledge of SQL Strong troubleshooting and debugging skills, with the ability to analyze and resolve complex technical issues. Strong understanding of NLP, machine learning, and chatbot technologies. Excellent communication and presentation skills. Strong problem-solving skills and attention to detail. Ability to work independently and collaboratively in a fast-paced environment.

Executive Team: Al-Driven performance dashboards, predictive analytics, market trend analysis, compliance monitoring, benchmarking. Sales & Business Development : Chatbot for client engagement, email drafting, lead scoring, client insights and account optimization, dynamic pricing models, geo-targeting. Recruitment/Talent Acquisition : Email drafting, Talent pool insights, automated candidate sourcing, passive candidate insights, chatbot for candidate engagement, more sophisticated matching. Finance and Payroll: Transaction audits, anomaly and fraud detection, compliance verification, customer alerts, chatbot to resolve payroll and billing enquiries. Marketing : Targeted outreach, optimized advertising spend, programmatic job advertising, behavioral insights, dynamic content creation, competitor analysis Information Technology : Workflow automation, network optimization, improved system monitoring, enhanced cybersecurity, code generation, service desk automation Qualification Criteria Executive Team: Al-Driven performance dashboards, predictive analytics, market trend analysis, compliance monitoring, benchmarking. Sales & Business Development : Chatbot for client engagement, email drafting, lead scoring, client insights and account optimization, dynamic pricing models, geo-targeting. Recruitment/Talent Acquisition : Email drafting, Talent pool insights, automated candidate sourcing, passive candidate insights, chatbot for candidate engagement, more sophisticated matching. Finance and Payroll: Transaction audits, anomaly and fraud detection, compliance verification, customer alerts, chatbot to resolve payroll and billing enquiries. Marketing : Targeted outreach, optimized advertising spend, programmatic job advertising, behavioral insights, dynamic content creation, competitor analysis Information Technology : Workflow automation, network optimization, improved system monitoring, enhanced cybersecurity, code generation, service desk automation Additonal Information Executive Team: Al-Driven performance dashboards, predictive analytics, market trend analysis, compliance monitoring, benchmarking. Sales & Business Development : Chatbot for client engagement, email drafting, lead scoring, client insights and account optimization, dynamic pricing models, geo-targeting. Recruitment/Talent Acquisition : Email drafting, Talent pool insights, automated candidate sourcing, passive candidate insights, chatbot for candidate engagement, more sophisticated matching. Finance and Payroll: Transaction audits, anomaly and fraud detection, compliance verification, customer alerts, chatbot to resolve payroll and billing enquiries. Marketing : Targeted outreach, optimized advertising spend, programmatic job advertising, behavioral insights, dynamic content creation, competitor analysis Information Technology : Workflow automation, network optimization, improved system monitoring, enhanced cybersecurity, code generation, service desk automation Skills: AI Business Services , Chatbot , Email Analytics , Transaction Analysis , Advertising Collateral , Workflow Applications

We are Foxedg Ventures FZE LLC , a company dedicated to supporting the growth of Small and Medium-sized Enterprises (SMEs) in the dynamic UAE and Indian markets. Under the Foxedg Ventures umbrella, we operate two key brands: Tapfolio , which specializes in AI-powered chatbot solutions, and OdooEdge , which provides comprehensive Odoo ERP/CRM services. We are seeking a proactive and data-driven Marketing Intern to join our team. This role is integral to implementing multi-stage sales funnel strategies, leveraging various digital channels, and crucially, utilizing AI tools and marketing automation platforms to enhance efficiency and optimize performance for both brands. This is an exciting opportunity for someone eager to gain hands-on experience in a fast-paced B2B environment, contributing to targeted campaigns designed to capture, engage, nurture, and convert SMEs. What You'll Learn and Contribute To Content Creation Support: Assist in developing and organizing SEO-optimized content, including blog posts, lead magnet outlines (eBooks, checklists), case study research, and website copy. You'll learn to tailor content to address the pain points of Small and Medium-sized Enterprises (SMEs) and specific industry needs in the UAE and India for both Tapfolio and OdooEdge. SEO Fundamentals: Gain practical experience in keyword research, support on-page optimization efforts, and assist with basic technical SEO tasks. You'll also learn about local SEO strategies, including Google Business Profile optimization, to improve organic search visibility for both brands. Paid Advertising Assistance (PPC): Support the team in setting up and monitoring Google Search Ads and LinkedIn Ads campaigns. You'll learn about targeting B2B audiences and keywords in the UAE and India, focusing on lead generation and brand awareness for both Tapfolio and OdooEdge, and contribute to writing engaging ad copy. Social Media Engagement (Primarily LinkedIn): Help manage and schedule content for our LinkedIn presence for both Tapfolio and OdooEdge. You'll learn to share thought leadership articles, industry insights, and company updates, and assist in community engagement to build our brand online. Email Marketing Support: Assist in organizing and managing automated email nurturing sequences for leads, help with newsletter distribution, and learn about personalized communication strategies for prospects. This will involve understanding CRM platform integration for lead management across both brands. Website Content & Basic Optimization: Support website content updates for Tapfolio and OdooEdge, learn about ensuring mobile-friendliness and fast loading speeds, and assist with implementing basic conversion rate optimization (CRO) suggestions based on analytics. You'll also help manage website calls-to-action. Chatbot Familiarity (Tapfolio Specific): Get exposure to the configuration and management of Tapfolio's own website chatbot, understanding its role in proactive engagement, lead qualification, and customer support. Analytics & Reporting Basics: Learn to track and interpret digital marketing performance using tools like Google Analytics. You'll assist in monitoring key performance indicators (KPIs) across different marketing funnel stages (e.g., website traffic, lead magnet downloads, conversion rates) and contribute to performance reports for both brands. Digital Marketing Tools Exposure: Gain hands-on experience with various digital marketing tools, including CRM platforms (like HubSpot or Odoo's native CRM), Email Marketing platforms (Mailchimp, Zoho Campaigns, ActiveCampaign, HubSpot), and SEO tools (SEMrush, Google Keyword Planner). AI in Marketing: Actively explore and learn how to integrate AI tools into marketing workflows for tasks like content idea generation, ad copy suggestions, or audience insights. Market Insights: Contribute to understanding buyer personas and learning about the specific nuances, digital adoption trends, and business challenges faced by SMEs in the UAE and India. What We're Looking For Excellent written and verbal communication skills, with a willingness to learn how to craft compelling content. A strong interest in using and leveraging AI-powered tools for marketing tasks. A keen interest in digital marketing, particularly in B2B or SaaS environments. Basic understanding or eagerness to learn about core digital marketing channels: SEO, PPC, Content Marketing, Social Media Marketing (especially LinkedIn), and Email Marketing. Good organizational skills and the ability to manage multiple tasks. A proactive approach to learning about web analytics. Strong analytical thinking and attention to detail. Currently pursuing or recently completed a Bachelor's degree in Marketing, Communications, or a related field. Adaptability and a proactive approach to continuous learning. This internship offers a valuable opportunity to develop your digital marketing skills and contribute to real-world campaigns for both Tapfolio and OdooEdge under Foxedg Ventures FZE LLC. If you're enthusiastic about learning and ready to make an impact, we encourage you to apply!

The Role As a Product Technical Lead , you will act as the bridge between the product vision and technical execution. You will lead product architecture discussions, define technical roadmaps, and guide engineering teams to deliver high-performance, scalable solutions for our AI chatbot platform – BotPenguin. This is a high-impact role that demands strategic thinking, hands-on development expertise, and leadership skills to align cross-functional teams toward product success. You will be closely working with product managers, senior engineers, AI experts, and business stakeholders. You will also be responsible for conducting code reviews, mentoring junior developers, and ensuring high software quality standards. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 5 + years of experience in software engineering with at least 2+ years in a technical leadership role. Technical Skills: Proven experience in scalable system design and product architecture . Strong understanding of MEAN/MERN Stack technologies. Experience in software architecture planning and low-level design. Ability to define and implement product-level architectural patterns. Ability to create and implement scalable, high-performance solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerisation (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Strong analytical mindset, leadership skills, and a passion for mentoring junior developers. What you will be doing Lead technical architecture design and roadmap planning for BotPenguin’s core platform. Work alongside the Product Manager to align product vision with technical execution. Collaborate with engineering teams to translate product requirements into scalable solutions . Design and develop core modules of the platform, especially those related to automation, chat assignment, analytics, and multi-agent support . Implement and enforce technical best practices , coding guidelines, and documentation standards. Evaluate and integrate LLM models, AI agents , and automation tools as per evolving product needs. Ensure performance, security, and scalability of applications across global deployments. Support Customer Success and QA teams with technical issue resolution and RCA . Drive technical discussions, conduct code reviews, and ensure timely feature delivery. Foster a culture of continuous improvement, collaboration, and innovation within the tech team. Collaborate with the Product Team to plan and implement technical solutions for new features. Work closely with Technical Leads & Senior Developers to define software architecture and create low-level designs. Conduct code reviews to ensure adherence to best practices and coding standards. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Mentor junior engineers, providing guidance on best practices and career growth. Any other task relevant to the product that may be needed. Top reasons to work with us Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,000,000.00 per year Benefits: Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Job Description: We are seeking a skilled part-time IT Consultant with strong Python expertise to support the development of key internal tools and systems. The ideal candidate will be proficient in chatbot development, tool integration, and online assessment monitoring solutions. Key Responsibilities: Design and develop chatbot models using Python Create inbuilt tools and utilities for internal automation Integrate Python scripting with React.js applications Develop a monitoring system for an online assessment platform Implement and support proctoring features such as webcam monitoring, screen tracking, browser lockdown, and AI-based activity detection Requirements: Proficient in Python programming Hands-on experience with chatbot or NLP model development Ability to integrate Python with React.js Proficient in techniques and tools used for online proctoring and exam monitoring Self-motivated and able to work independently on part-time assignments Job Types: Part-time, Contractual / Temporary Pay: From ₹3,000.00 per month Schedule: Day shift Application Question(s): Are you ready to work as partime IT consultant in python? Do you have experience in Chat Bot? Can you develop a proctoring tool? Do you have experience in integrating python scripts with react js ? Work Location: In person Expected Start Date: 28/06/2025

Job Summary Join our dynamic team as a Systems Engineer where you will leverage your expertise incident management networking to enhance our service desk operations. With a focus on Service Now and Windows you will play a crucial role in ensuring seamless IT support. This role requires rotational shifts and offers a work-from-office model providing an opportunity to grow and make a significant impact. Responsibilities Collaborate with cross-functional teams to design and implement AI-enabled chatbot solutions that improve service desk efficiency. Monitor and manage network infrastructure to ensure optimal performance and reliability. Respond promptly to incident reports utilizing Service Now to track and resolve issues effectively. Provide technical support for Windows-based systems ensuring smooth operation and minimal downtime. Analyze service desk operations to identify areas for improvement and implement strategic solutions. Develop and maintain documentation for system configurations and troubleshooting procedures. Conduct regular system audits to ensure compliance with company policies and industry standards. Assist in the deployment and configuration of new hardware and software as needed. Train and mentor junior team members on best practices and emerging technologies. Participate in rotational shifts to provide 24/7 support coverage for critical systems. Communicate effectively with stakeholders to provide updates on system status and incident resolution. Utilize incident management tools to prioritize and escalate issues as necessary. Contribute to the continuous improvement of service desk processes and procedures. Qualifications Demonstrate proficiency in AI-enabled chatbot technologies and their application in service desk environments. Possess strong networking skills with experience in managing complex network systems. Exhibit expertise in incident management and the use of Service Now for tracking and resolution. Have a solid understanding of Windows operating systems and related technologies. Show experience in service desk operations and the ability to improve service delivery. Display excellent problem-solving skills and the ability to work under pressure. Demonstrate effective communication skills and the ability to work collaboratively in a team environment. Certifications Required ITIL Foundation Certification is a plus.

Job Summary: We are hiring a Performance Marketing Executive with strong experience in building and optimizing sales funnels and managing paid ad campaigns. The ideal candidate must be proficient in tools like CartFlows , Elementor , WooCommerce , and have hands-on experience with Meta Ads and Google Ads . This is a full-time, onsite position based in Meerut. Key Responsibilities: Plan and manage high-performing Meta (Facebook/Instagram) and Google Ads campaigns Build, integrate, and optimize sales funnels using CartFlows , Elementor , and WooCommerce Create and manage landing pages using WordPress Set up and manage tracking tools such as Facebook Pixel , Google Tag Manager (GTM) , and Google Analytics (GA4) Conduct A/B testing for landing pages, creatives, and funnel elements Optimize ad performance to reduce Cost Per Lead (CPL) and increase conversion rates Collaborate with designers, developers, and content writers to deliver high-converting funnels Use AI tools like ChatGPT for writing ad copy, landing page content, and retargeting scripts Design basic creatives using Canva for ads and funnel graphics Requirements: 1-2 years of experience in ads management and funnel building Strong knowledge of WordPress , Elementor , CartFlows , and WooCommerce Proven experience with Meta Ads Manager , Google Ads , and analytics tools Familiarity with lead generation funnels , conversion optimization , and retargeting strategies Ability to set up and manage tracking tools (GTM, Pixel, UTM parameters) Proficiency with AI tools like ChatGPT for content creation Good understanding of social media platforms Excellent knowledge of landing page structure and user journey optimization Bonus Skills (Preferred but Not Mandatory): Email marketing and automation (e.g., Mailchimp , ConvertKit ) WhatsApp automation or chatbot integration Experience with CRM tools Location: Meerut (Onsite) Employment Type: Full-time (Immediate Joiner Preferred) Experience Required: 1-2 Years Benefits: Competitive salary based on skills and performance Opportunity to work on real, result-oriented campaigns Growth-focused and learning-driven environment Exposure to live funnel building, ad scaling, and conversion optimization Job Type: Full-time Pay: ₹10,000.00 - ₹20,000.00 per month Schedule: Day shift Ability to commute/relocate: Meerut city, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Performance marketing: 1 year (Preferred) Wordpress Management: 1 year (Preferred) Work Location: In person

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

AI Project Lead – Executive Department: Talent Acquisition / HR Technology Location: Gandhinagar Experience Required: 5+ years (Recruitment Technology / AI Implementation / HR Automation) Salary Range: ₹[As per experience } Job Summary: We are hiring a hands-on AI Recruitment Project Lead (Executive Level) to execute and manage the implementation of an AI-powered recruitment system using a structured database of 1,00,000 resumes. The ideal candidate will combine technical know-how with strong operational execution in HR tech, automation, and large-scale data handling. You will work closely with leadership to bring AI into every stage of the hiring lifecycle. Key Responsibilities: Resume Database Structuring & Management Clean, convert, and structure bulk resume data (CSV/JSON) Oversee OCR processing for scanned PDFs using tools like Tesseract Manage resume storage in PostgreSQL, MongoDB, or Elasticsearch Resume Parsing & Entity Extraction Integrate and configure parsing APIs (Rchilli, Affinda, HireAbility) Extract structured fields: Name, Skills, Experience, Location, Education AI Matching & Shortlisting Implement semantic search using OpenAI Embeddings / Sentence-BERT Store embeddings in Pinecone / FAISS / Weaviate Build a scoring engine based on experience, skill match, and relevance System Integration & Automation Automate recruitment pipeline: Resume Upload ➝ Parsing ➝ Scoring ➝ Shortlist Integrate with ATS platforms (Zoho Recruit, Greenhouse, Lever) Set up dashboards in Power BI / Streamlit for recruiter review Chatbot Deployment & Candidate Interaction Configure AI chatbots (ChatGPT API, Botpress) to engage with candidates Automate FAQ responses, initial screening, and interview scheduling Governance & Compliance Maintain full audit trails of AI decisions Ensure GDPR/IT Act compliance and fairness in AI operations Technical Skills: Python, FastAPI, or Node.js for backend integration AI/ML libraries: spaCy, scikit-learn, Transformers Knowledge of OpenAI / Hugging Face APIs Experience with ATS tools and resume parsing systems Familiarity with vector search (FAISS, Pinecone) and cloud platforms Preferred Qualifications: Graduate/Postgraduate in Computer Science, Data Science, or HR Technology Proven experience with AI-led hiring projects or large-scale automation Knowledge of HR analytics, compliance, and recruitment workflows Key Performance Indicators (KPIs): Reduction in hiring turnaround time (TAT) % accuracy of AI shortlisting System integration efficiency Recruiter satisfaction & adoption rate Compliance readiness & audit success To Apply: Email: resume@theactivegroup.in Phone/WhatsApp: 9904582301 / 6358812301 Website: www.theactivegroup.in Job Type: Full-time Pay: ₹22,000.00 - ₹32,000.00 per month Benefits: Provident Fund Schedule: Day shift Rotational shift Work Location: In person

Position Summary We are seeking an experienced AI Engineer with 3-5+ years of hands-on experience in designing, developing, and deploying AI/ML solutions. You will architect AI systems, build data pipelines, and integrate cutting-edge AI capabilities including LLMs, RAG systems, and cloud-based AI platforms into enterprise applications. Key Responsibilities Design and implement end-to-end AI/ML solutions from data ingestion to model deployment Develop LLMs, NLP applications, and RAG systems using vector databases Build AI-powered chatbots, document processing, and information extraction pipelines Create robust ETL pipelines and optimize data lakehouse architectures Deploy and manage AI solutions on cloud platforms (Azure, GCP, AWS) Develop APIs and microservices for AI model integration Stay current with AI/ML research and experiment with new technologies Required Qualifications Programming : Proficiency in Python (required), JavaScript, Java, or similar languages AI/ML Technologies : Hands-on experience with LLMs, NLP, RAG systems, vector databases, and ML frameworks (TensorFlow, PyTorch, Scikit-learn) Data & Cloud : Experience with data processing tools (Pandas, PySpark, Databricks) and major cloud platforms (Azure, GCP, AWS) Development : Knowledge of SQL/NoSQL databases, REST APIs, microservices, and version control (Git) Experience : 3-5+ years in AI/ML engineering with proven track record of deploying production AI solutions Education : Bachelor's degree in Computer Science, Engineering, Data Science, or related field Preferred Qualifications Experience with LangChain, LlamaIndex, document intelligence, and chatbot development Cloud certifications (AWS ML, Azure AI Engineer, Google Cloud ML) Master's degree in AI/ML or Computer Science MLOps, containerization (Docker), and enterprise software development experience What We Offer Competitive salary and comprehensive benefits Opportunity to work with cutting-edge AI technologies Professional development and flexible work arrangements

Generative AI Engineer Location: Remote or Hybrid: Bangalore/Pune (1–2 days/week) Experience: 4–8 Years Job Summary: We are hiring experienced Generative AI Engineers to work on advanced chatbot and document intelligence platforms. You will be responsible for developing and deploying GenAI apps using GPT-4, LangChain, ChromaDB, and Azure AI. Key Skills: Python, FastAPI, GPT-4, LangChain, ChromaDB Azure AI, microservices architecture Prompt engineering and chatbot development Nice-to-have: LangGraph Ideal Profile: 5+ years of AI/ML experience, with 2+ years in Generative AI Hands-on with LangChain-based chatbot development Experience with RAG pipelines, ChromaDB, FastAPI Strong deployment skills and microservices understanding Apply Now! Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹1,900,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your Expected CTC? What is your Official Notice Period/Last Working Day? Experience: AI: 5 years (Required) ML: 5 years (Required) Work Location: In person

Role Overview: We're seeking a Manager of Customer Support Automation and AI Quality to monitor, analyze and optimize the performance of our automated customer support systems. This individual contributor role combines quality assurance expertise with cutting-edge AI tools to ensure exceptional customer experiences across all support channels. This is an excellent opportunity for someone with support operations background who wants hands-on experience with production AI systems in a customer support environment. Team Overview: Chegg’s Customer Care Team, known internally as The Student Advocacy Team (SAT), is a B2C support organization dedicated to providing outstanding support experiences when students need help with our products and services. We aim to deliver high-quality, transparent and convenient support experiences at scale to millions of students. Responsibilities: Create and refine AI classifiers and text analytics models within quality assurance platforms like Maestro QA to categorize and monitor support transcripts Monitor, maintain, and optimize automated chatbot responses powered by LLM and generative AI technology for accuracy and helpfulness Work within customer service platforms like Gladly to define and optimize workflow rules and engineer LLM prompts to ensure the quality of automated responses Generate weekly and monthly automation performance reports and dashboards using text analytics to provide actionable insights to support leadership Create real-time dashboards and visualizations to communicate quality trends and improvement opportunities Analyze support conversation data to identify trends, gaps, and areas for improvement Collaborate with customer support teams to understand pain points and translate them into AI improvements Document AI system configurations, training processes, and performance metrics Assist in troubleshooting AI system issues and implementing fixes Required: Bachelor’s degree (BTech/BE/BSc) in Computer Science, Data Science, Electronics, or related technical field 3-5 years of experience in customer support operations, quality assurance, or related analytics role with exposure to AI tools or chatbot technologies Experience or demonstrated interest in prompt engineering, and AI/ML tools Proficiency with SQL and data visualization tools Basic understanding of customer support metrics and quality frameworks Excellent communication skills to work cross-functionally with technical and non-technical teams Strong analytical mindset with problem-solving abilities Ability to work independently and manage priorities in a fast-paced environment Excellent English communication skills (written and verbal) Ability to work flexible hours to accommodate US and Philippines time zones Preferred Experience: Experience with any customer support, quality assurance and text analytics tool (Gladly, Maestro, Zendesk, Freshdesk, ServiceNow or equivalent platforms) Familiarity with Python, NLP, text analytics, or machine learning concepts Previous experience in customer service or support operations Familiarity with natural language processing and text analytics Keywords for Search Customer Support Quality Assurance, AI Operations, LLM Prompt Engineering, Customer Experience Analytics, Support Automation, Quality Monitoring, Conversational AI, Customer Care Analytics, Workforce Management, Agent Coaching, Performance Optimization

UI Developer with experience in React, Angular, UI, UX, HTML, and CSS. Must have coding experience and support API Integration with the AI Engineer. Rishabh Yadav Mobile: +91 9510215913 Email: rishabh.y@apideltech.com

Bachelors degree in Computer Science or Software Engineering, or equivalent experience Familiarity with Lightning App Builder and Lightning Component features Efficient in using Lightning Process Builder, Flow Builder, Chatter and Quick Action 2+ years of experience with Salesforce in a development or configuration capacity (Apex, Visualforce, SOQL, and configurations) Experience developing Sales Cloud, Service Cloud, Commerce Cloud, Field Service Lightning, Community Cloud and CPQ Experience developing B2B Commerce, payment gateways and Product Offerings Hands on development experience using Salesforce configuration and customizations using Apex, Visualforce, Triggers, SOQL, Lightning, Scheduled and Batch classes, MySQL and JavaScript Enterprise application integration tool experience like Dell Boomi or Mulesoft Hands on experience using Salesforce APIs and 3rd-party integration using integration techniques -REST, SOAP APIs, Auth and Single Sign-On Certifications: Salesforce platform (Platform Developer I+, Platform App Builder)

We’re hiring a Tech & Client Support Specialist to help our customers set up, use, and succeed with InstenTech — India’s All-in-One CRM + WhatsApp Automation Platform. As part of our growing SaaS team, you’ll guide new clients during onboarding, connect lead forms, troubleshoot automation flows, and help resolve client questions via WhatsApp, chat, or email. You don’t need coding skills — just strong understanding of tech tools, automation logic, and a love for helping people. 🛠️ Key Responsibilities: Set up new clients inside the InstenTech CRM Connect their Meta lead forms, WhatsApp workflows, and calendar Provide 1:1 onboarding calls or walkthroughs when needed Handle basic platform issues and client questions via WhatsApp, email, or chatbot Log issues and update ticket tracker Work closely with Sales & Founder to ensure smooth onboarding Keep documentation updated (FAQs, help docs, videos) 🧠 Skills & Qualifications: Basic understanding of CRM, lead forms, automations Hands-on experience with SaaS tools, WhatsApp Business, Calendly, or Meta Strong problem-solving skills Fluent in English + Hindi (Assamese is a plus) Bonus: Familiar with Pabbly, Zapier, or chatbot logic Freshers welcome if tech-savvy and trainable ⏱️ Job Type & Details: Full-time or Part-time Remote (Assam-based preferred but not required) Salary: ₹15,000–₹20,000/month (based on experience) Onboarding training provided 6-day work week, flexible hours 🌐 About InstenTech LLP: InstenTech is a business automation software company based in Assam, India. We help service providers, real estate agents, and coaches automate lead generation, WhatsApp follow-ups, CRM tracking, booking, and payments — all in one platform. We're already trusted by 500+ clients across India. 📲 How to Apply: Email: hr@instentech.com WhatsApp: 9864242272

Role & responsibilities Key Responsibilities : AI Strategy and Vision : Lead the identification of AI-driven use cases within the business, with a focus on cost optimization, structured data management, and process transformation. Work closely with business leaders and key stakeholders to define AI product roadmaps and deliverables that align with business objectives. Develop a deep understanding of the business workflows and guide the team in how AI can be used to optimize and innovate these processes. AI Product Development & Delivery : Own the end-to-end delivery of AI products, from ideation and conceptualization to implementation and scaling. Collaborate with cross-functional teams (technology, data science, operations) and external IT service providers to ensure smooth execution of AI projects. Define clear requirements and KPIs for AI products, ensuring they meet business goals and performance standards. Lead the deployment of AI-driven solutions that have measurable business impact and drive operational efficiencies. Data Structuring & Business Process Transformation : Ensure AI products are developed in a way that optimizes data structuring, enabling the organization to work with high-quality, usable data for decision-making. Work with data teams to ensure that AI solutions are leveraging the right datasets and are aligned with business needs. Key Requirements : Experience : Minimum of 6 years of work experience , with at least 3+ years in AI product delivery or hands-on experience in implementing AI solutions in a business context. Proven track record in leading AI product development in a fast-moving digital-focused organization . Experience working with AI technologies (e.g., machine learning, NLP, computer vision) and delivering AI-driven products that solve real business challenges. Experience working closely with or for AI organizations or leading IT service providers will be strongly preferred. Strong understanding of how AI can be applied to business processes and workflows for optimization and transformation. Preferred candidate profile - With minimum 6 years of AI experince.

Position: Team Lead - Website Development (Non Website Development (Non-Coding) Noida, India (Remote) Location: Noida, India (Remote) Employment Type: Full Time 4 years (with leadership experience preferred) Experience Required: 2-4 years (with leadership experience preferred) Role Overview: As a Team Lead - Website Development , you will be the central figure orchestrating seamless Website Development, you will be the central figure orchestrating seamless delivery of client websites-from discovery to launch. While the role does not involve coding, it from discovery to launch. While the role does not involve coding, it from discovery to launch. While the role does not involve coding, it requires strong project management, client communication, and team coordination skills. You requires strong project management, client communication, and team coordination skills. You will drive project timelines, ensure client satisfaction, and lead a cross functional team to will drive project timelines, ensure client satisfaction, and lead a cross-functional team to deliver quality websites that meet business objectives. deliver quality websites that meet business objectives. Key Responsibilities: 1. Client & Project Management: Client & Project Management: - Lead client onboarding and requirement gathering sessions in collaboration wi Lead client onboarding and requirement gathering sessions in collaboration with the Lead client onboarding and requirement gathering sessions in collaboration wi Customer Success team. - Serve as the key point of contact for clients througho ut the development lifecycle. Serve as the key point of contact for clients throughout the development lifecycle. - Translate client business goals into actionable website fe nt business goals into actionable website features and design guidelines. atures and design guidelines. - Track and report project progress using tools like Trello/Asana or equivalent. Track and report project progress using tools like Trello/Asana or equivalent. Track and report project progress using tools like Trello/Asana or equivalent. 2. Team Coordination: - Manage and mentor a team of designers, content uploaders, and technical support Manage and mentor a team of designers, content uploaders, and technical support Manage and mentor a team of designers, content uploaders, and technical support staff. - Ensure timely collaboration between design, development, and SEO teams for Ensure timely collaboration between design, development, and SEO teams for Ensure timely collaboration between design, development, and SEO teams for streamlined execution. - Facilitate sprint planning, reviews, and retrospectives to improve output quality and Facilitate sprint planning, reviews, and retrospectives to improve output quality and efficiency. 3. Website Execution Oversight: Website Execution Oversight: - Oversee wireframe approvals, layout design, and the co ntent implementation process. provals, layout design, and the content implementation process. - Supervise content uploads (text, image, multimedia), ensuring alignm Supervise content uploads (text, image, multimedia), ensuring alignm Supervise content uploads (text, image, multimedia), ensuring alignment with clientexpectations.- Coordinate chatbot integrations and other third Coordinate chatbot integrations and other third-party plugin functionalities. party plugin functionalities. - Conduct end-to-end pre- -launch QA for responsiveness, performance, and cross launch QA for responsiveness, performance, and cross-browser compatibility. 4. Technical & SEO Integration Technical & SEO Integration: - Ensure seamless domain registration, hosting setup, and CMS Ensure seamless domain registration, hosting setup, and CMS Ensure seamless domain registration, hosting setup, and CMS (WordPress/Webflow/Wix) integrati ess/Webflow/Wix) integration. - Collaborate with the SEO team for met Collaborate with the SEO team for metadata, structure, and on-page optimization to page optimization to improve visibility. Key Metrics of Success: - Client Satisfaction Score (CSAT): Client Satisfaction Score (CSAT): Maintain above 90% through consistent delive Maintain above 90% through consistent delivery ication. quality and communication. - Project Timeliness: 95% of projects delive red within committed timelines. 95% of projects delivered within committed timelines. - Website Uptime & Bug Website Uptime & Bug-free Rate: 99% uptime with <2% critical bug reports post <2% critical bug reports post- launch. 100% of launched sites to meet baseline SEO technical standards. 100% of launched sites to meet baseline SEO technical standards. - SEO Readiness: 100% of launched sites to meet baseline SEO technical standards. Measurable improvement in delivery efficiency and turnaround time Measurable improvement in delivery efficiency and turnaround time - Team Productivity: Measurable improvement in delivery efficiency and turnaround time per quarter. Required Skills: wnership and team leadership. - Strong project ownership and team leadership - Excellent client communicat Excellent client communication and interpersonal skills. - Familiarity with CMS platforms Familiarity with CMS platforms like WordPress, Wix, Webflow. - Basic understanding of SEO, UI/UX p Basic understanding of SEO, UI/UX principles, and web analytics. - Organized, resourceful, and results l, and results-oriented mindset. Preferred Qualifications: - Prior experience in managing website development proj Prior experience in managing website development projects without hands ects without hands-on coding.- Exposure to Agile methodologies Exposure to Agile methodologies and project management tools. - Previous work with cross Previous work with cross-functional teams (Design, SEO, Tech)

AI Project Lead – Executive Department: Talent Acquisition / HR Technology Location: Gandhinagar Experience Required: 5+ years (Recruitment Technology / AI Implementation / HR Automation) Salary Range: ₹22,000.00 - ₹32,000.00 per month Job Summary: We are hiring a hands-on AI Recruitment Project Lead (Executive Level) to execute and manage the implementation of an AI-powered recruitment system using a structured database of 1,00,000 resumes. The ideal candidate will combine technical know-how with strong operational execution in HR tech, automation, and large-scale data handling. You will work closely with leadership to bring AI into every stage of the hiring lifecycle. Key Responsibilities: Resume Database Structuring & Management Clean, convert, and structure bulk resume data (CSV/JSON) Oversee OCR processing for scanned PDFs using tools like Tesseract Manage resume storage in PostgreSQL, MongoDB, or Elasticsearch Resume Parsing & Entity Extraction Integrate and configure parsing APIs (Rchilli, Affinda, HireAbility) Extract structured fields: Name, Skills, Experience, Location, Education AI Matching & Shortlisting Implement semantic search using OpenAI Embeddings / Sentence-BERT Store embeddings in Pinecone / FAISS / Weaviate Build a scoring engine based on experience, skill match, and relevance System Integration & Automation Automate recruitment pipeline: Resume Upload ➝ Parsing ➝ Scoring ➝ Shortlist Integrate with ATS platforms (Zoho Recruit, Greenhouse, Lever) Set up dashboards in Power BI / Streamlit for recruiter review Chatbot Deployment & Candidate Interaction Configure AI chatbots (ChatGPT API, Botpress) to engage with candidates Automate FAQ responses, initial screening, and interview scheduling Governance & Compliance Maintain full audit trails of AI decisions Ensure GDPR/IT Act compliance and fairness in AI operations Technical Skills: Python, FastAPI, or Node.js for backend integration AI/ML libraries: spaCy, scikit-learn, Transformers Knowledge of OpenAI / Hugging Face APIs Experience with ATS tools and resume parsing systems Familiarity with vector search (FAISS, Pinecone) and cloud platforms Preferred Qualifications: Graduate/Postgraduate in Computer Science, Data Science, or HR Technology Proven experience with AI-led hiring projects or large-scale automation Knowledge of HR analytics, compliance, and recruitment workflows Key Performance Indicators (KPIs): Reduction in hiring turnaround time (TAT) % accuracy of AI shortlisting System integration efficiency Recruiter satisfaction & adoption rate Compliance readiness & audit success