1123 Chatbot Jobs

Job description Job Title: QA Kore.ai Location: Hyderabad Experience: 2 to 5 years Employment Type: Full-time About the Role We are seeking a detail-oriented and proactive QA with Kore.ai experience to join our Conversational AI team. In this role, you will be responsible for testing AI-driven bots across multiple platforms including chat interfaces and voice channels Key Responsibilities Understand and validate conversation flows, intents, entities, and bot behavior across chatbot and voicebot use cases. Design and execute test cases, scenarios, and test data for conversational interfaces (text and voice). Perform functional, regression, integration, and user acceptance testing (UAT) of chatbot and voicebot implementations. Test omnichannel bot behavior on platforms such as web, WhatsApp, MS Teams, Google Assistant, IVR, etc. Required Skills & Qualifications 25 years of QA experience, with at least 1–2 years in testing chatbots and/or Voicebot built on Kore.ai platform Familiarity with Conversational AI platforms, primarily Kore.ai Strong understanding of NLU/NLP concepts. Excellent analytical, communication, and troubleshooting skills.

Overview We are seeking a highly skilled and experienced Azure open AI Archirtect to join our growing team. You will play a key role in designing, developing, and implementing Gen AI solutions across various domains, including chatbots. The ideal candidate for this role will have experience with latest natural language processing, generative AI technologies and the ability to produce diverse content such as text, audio, images, or video. You will be responsible for integrating general-purpose AI models into our systems and ensuring they serve a variety of purposes effectively. Task and Responsibilities Collaborate with cross-functional teams to design and implement Gen AI solutions that meet business requirements. Developing, training, testing, and validating the AI system to ensure it meets the required standards and performs as intended. Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI Models, Open Source LLMs ( Llama2 , Mistral ,"), and frameworks like Langchain and Pandas . Leverage expertise in Transformer/Neural Network models and Vector/Graph Databases to build robust and scalable AI systems. Integrate AI models into existing systems to enhance their capabilities. Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence , Azure Databricks etc. Integrate speech-to-text functionality using Azure native services to create user-friendly interfaces for chatbots. Deploying and managing Azure services and resources using Azure DevOps or other deployment tools. Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability. Ensuring compliance with security and regulatory requirements related to AI solutions. Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team. Qualifications Overall 8+ years combined experience in IT and recent 5 years as AI engineer. Bachelor's or master's degree in computer science, information technology, or a related field. Experience in designing, developing, and delivering successful GenAI Solutions. Experience with Azure Cloud Platform and Azure AI services such as Azure AI Search, Azure OpenAI , Document Intelligence, Speech, Vision , etc. Experience with Azure infrastructure and solutioning. Familiarity with OpenAI Models, Open Source LLMs, and Gen AI frameworks like Langchain and Pandas . Solid understanding of Transformer/Neural Network architectures and their application in Gen AI. Hands-on experience with Vector/Graph Databases and their use in semantic & vector search. Proficiency in programming languages like Python (essential). Relevant industry certifications, such as Microsoft CertifiedAzure AI Engineer, Azure Solution Architect etc. is a plus. Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills to work effectively in a team environment. A passion for innovation and a desire to push the boundaries of what's possible with Gen AI.

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years’ experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying software’s on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring. Preferred technical and professional experience NA

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 : Computer Vision Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are hiring an AI Research and Innovation Sr. Principal to focus on model refinement, including fine-tuning, alignment, safety, and evaluation of AI models. This role is critical for ensuring our models are robust, responsible, and aligned with human values. Roles & Responsibilities:- Lead efforts in supervised fine-tuning, reinforcement learning from human feedback (RLHF), and instruction tuning. Innovate on techniques for continual learning and domain adaptation.-- Understand LLM fine tuning techniques such as PEFT, LoRA, QLoRA etc-- Develop evaluation frameworks for model safety, bias, and performance.- Collaborate with multiple stakeholders like policy and Responsible AI teams to ensure responsible AI practices, consulting team to provide technical depth in AI, studio team to position our findings for client pitches, business team to arrive at a research roadmap, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop an internal AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by brining in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI- Overall experience 10-12 years and Relevant experience (post PhD) 5+ years.- Experience with evaluation metrics and safety benchmarks.- Familiarity with human-in-the-loop systems and feedback collection.- Multi Modal AI Model Building and Fine tuning- Proven track record of innovation and publications. Additional Information:- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Summit Techno Funtional Analyst will be responsible for providing the Analysis, documentation, Designing and developing Solution for the Regulatory and change projects. He is expected to manage the Business users/ Stake holders in terms of Project delivery. He should have good knowledge of SDLC and excellent Summit Development skills are required. Should be able to understand the Functional requirements provided by the Business Analyst and act as a point of contact for project in all the phases of SDLC. Main duties/responsibilities will include: Liaising with Business users in Gathering the requirements, Design and develop solution. Work with the Business analyst in designing the solution to the requirements and responsible to provide the right Solution Preparing the test documents and Test cases. Responsible and collaborate with BA, Testing teams and other SMEs throughout the Project. Responsible for every phase of SDLC. Assisting and resolve the BAU issues Key Skills and Experience required for this role: Good knowledge and experience on latest Summit FT Architecture on V6 and above Minimum 7+ years of Programmer/ Analyst Experience with strong C/ C++ Development skills, OOPS Design, PERL scripting essential. Good business knowledge of Capital Markets& Investment Banking, OTC trading, Derivatives, Treasury, Forex and Fixed Income Experience in Summit ModulesDocumentation, Accounting, Credit Risk Management, Market Risk , Management, Trade Processing, STP, Payments and Settlements Well versed with Summit Entity, STP, SMT, Desktop, Workflow and Environment Configurations Should be able to do technical design of new solutions applying current software design techniques Good working experience with Oracle relational database, XML parsing and Unix commands Hands on working experience of a structured development methodology Good command on speaking and writing English Primary skill Summit Development

P1,C3,TSTS Experience Over 1 years of experience in designing and developing conversational AI solutions using Kore.ai, with expertise in creating chatbot and IVR flows. Actively engaged in developing Proof of Concepts (POCs) and regularly providing status updates to clients. Technical Skills Proficient in developing conversational AI solutions using Kore.ai, with strong experience in designing, implementing, and maintaining chatbot and IVR conversation flows. Skilled in debugging conversational logic and optimizing user interactions. Familiar with Agile methodologies and effective in collaborative, cross-functional team environments. Good to Have Skills Good understanding of IVR and chatbot design, conversation flow , NLP tuning, and user experience best practices. Experience with IVR testing tools such as Cyara. Understanding of prompt engineering techniques for improving responses from conversational AI models. Experienced in working any of the databases like Oracle / SQL etc

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 : Computer Vision Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects.AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts inAgentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:-Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.-Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).-Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.-Publish and present novel and innovative research findings in top AI venues.-Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.-Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI-Overall experience 10-15 years and Relevant experience (post PhD) 5+ years.-Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.-Strong understanding of LLMs and their integration into agentic workflows.-Experience with frameworks like LangChain, AutoGPT, or similar.-Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 18 years of experience in Computer Vision.- 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 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 : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis.- Knowledge of data visualization techniques to present insights effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- 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 : Large Language Models Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will collaborate with cross-functional teams to ensure the seamless integration of AI capabilities into various applications, while also addressing challenges related to image processing and chatbot functionalities. Your role will require a balance of technical expertise and innovative thinking to drive the successful deployment of AI solutions in a cloud or on-premises environment. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications that meet business needs. Additional Information:- The candidate should have minimum 18 years of experience in Large Language Models.- 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 : Natural Language Processing (NLP) Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts inAgentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:-Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.-Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).-Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.-Publish and present novel and innovative research findings in top AI venues.-Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.-Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI-Overall experience 10-15 years and Relevant experience (post PhD) 5+ years.-Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.-Strong understanding of LLMs and their integration into agentic workflows.-Experience with frameworks like LangChain, AutoGPT, or similar.-Proven track record of innovation and publications. Additional Information:Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. 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 : Natural Language Processing (NLP), Java, Spring MVC Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into cohesive systems that address complex challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing techniques and tools for text data.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).- 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 Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the advancement of AI technologies within the organization. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis and model development.- Knowledge of data preprocessing techniques and tools to ensure data quality. Additional Information:- The candidate should have minimum 18 years of experience in Machine Learning.- 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 : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring high-quality standards are met. You will also explore innovative approaches to integrate generative AI models into various applications, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in AI methodologies. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Evaluate and implement new technologies and tools that can improve team efficiency and project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Proficient in programming languages such as Python or R for data analysis and model development. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- 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 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

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