333 Ai Platform Jobs

Responsibilities: * Design, develop, and maintain full stack applications using Node.js, React.js, Express, MERN, JavaScript, TypeScript, MongoDB.

We are hiring Full Stack Developers with 1–2 years of experience in building scalable web applications. The role involves working on front-end & back-end development, RESTful APIs, and databases (MySQL/MongoDB/PostgreSQL). Required Candidate profile 1–2 years’ experience with skills in Node.js, HTML, CSS, JavaScript, REST APIs, MySQL/MongoDB/PostgreSQL, Git. Exposure to AI tools, Agentic frameworks, and Cloud (AWS) preferred.

Role & responsibilities Technology Stack Required: AI and Automation - Programming - Python and any other AI languages, Langchain - Hands on experience in AI - Generative AI / LLM / Agentic AI / RAG Frontend Technologies - React - HTML5, CSS3, JavaScript - Responsive Design Backend Technologies - Node.js, Express.js Database Management - SQL (MySQL) - NoSQL (MongoDB) DevOps & Cloud - AWS, Azure, Google Cloud (any one) - PM2 (process management and deployment for Node.js applications) Other Technical Skills - API Design and Integration (REST) - Redis cache - Bull Queue (task/job queue management) - Git and Version Control - Test-Driven Development (Jest) Education & Experience: Currently pursuing or completed a Bachelors Degree in Information Technology or Computer Science from IIT/NIT or equivalent institutions. Good communication skills are required. Preferred candidate profile Role Requirements: Technical Stack: Strong hands-on experience in React.js, Node.js, and Python Proficiency in working with SQL databases Development Experience: The candidate must have practical experience working on both the frontend and backend (full-stack exposure) AI/ML Exposure: Experience with AI-related technologies is not mandatory but would be a significant advantage Work Type: This is a remote opportunity More exp. should in Backend

Join Perceptive Labs as our foundation engineer to build APIs, multi-tenant infra, and AI agents (Python/TS, Postgres, Redis, Temporal, LLMs). High ownership, startup pace, salary. Turn your vision into reality and learn while doing it

**Role Overview:** You will be a part of Google's software engineering team, focusing on developing next-generation technologies that impact billions of users worldwide. As a software engineer, you will work on critical projects for Google's needs, with the opportunity to switch teams and projects as the business evolves. Your role will involve tackling challenges in areas such as information retrieval, distributed computing, system design, AI, natural language processing, and more. **Key Responsibilities:** - Work on evaluation infrastructure projects essential for the success of AI projects for Google Home Assistant. - Design and implement new functionality for the evaluation platform, including dialog, context, and i18n handling. - Generate evaluation data for AI systems using crowd-compute and generative solutions. - Develop expertise in evaluation solutions to enhance the quality iteration of AI systems. **Qualifications Required:** - Bachelor's degree or equivalent practical experience. - 2 years of experience in software development in one or more programming languages, or 1 year of experience with an advanced degree. - Experience in Machine Learning, AI Platform, Infrastructure Design, Data Analysis, Python, Java. - Master's degree or equivalent practical experience. - 2 years of experience in software development in languages like Python, C/C++. - Experience in evaluating natural language and Generative AI systems. - Experience in generating training or evaluation data using Generative AI systems.,

Responsibilities: * Design, develop & maintain AI solutions using LLMOps, Agentic AI & NLP. * Collaborate with cross-functional teams on AI platform strategy & implementation. Model development, training, deployment at scale, monitoring performance

Education Qualification: Bachelors degree in computer science or related field or higher with minimum 5 years of relevant experience. We are seeking a Senior AI/ML Developer or Technical Lead with proven expertise in Google Cloud Platform (GCP), Vertex AI, Gemini models. The ideal candidate will have a hands-on approach and deep experience integrating GenAI components into enterprise-grade document automation workflows. Your future duties and responsibilities: Develop and deploy solutions using Vertex AI, Gemini models, Document AI, and custom NLP/OCR components. Contribute to scalable, cloud-native architectures for document ingestion, extraction, summarization, and transformation. Implement prompt-based workflows and LLM-powered solutions for classification, Q&A, and content summarization. Use Vertex AI pipelines and AutoML tools to manage and automate model lifecycle. Collaborate with architects, MLOps engineers, and business stakeholders to translate requirements into scalable code. Ensure secure and compliant handling of sensitive data in document processing workflows. Stay up to date with the latest Gemini/LLM advancements and integrate relevant innovations into projects. Required qualifications to be successful in this role: Must to have Skills- Cloud/AI Platform-Google Cloud Platform (Vertex AI, Cloud Functions, Cloud Run, BigQuery, Document AI, Firestore) GenAI/LLMs-Google Gemini (API), PaLM, LangChain (for RAG), OpenAI (optional fallback) OCR & NLP-Tesseract, GCP Document AI, spaCy, Hugging Face Transformers Full Stack-React or Next.js (frontend), Node.js or FastAPI (backend), Firebase/Firestore DevOps/MLOps-GitHub Actions, Vertex Pipelines, Docker, Terraform (GCP IaC), MLflow Data & Integration-REST APIs, GraphQL, Webhooks, Cloud Pub/Sub, JSON/Protobuf 5+ years of full-stack development experience with significant expertise in: Backend: Python Solid 2+ years hands-on experience building a product/solution leveraging GenAI, NLP, Document Classification, developing Chatbots and OCR development, including hands-on experience with NLP libraries and tools. Solid understanding of Kubernetes concepts and experience managing containerized applications in production environments. Proficiency in relational and non-relational databases, with a strong understanding of database optimization techniques. Problem-Solving: The ability to tackle complex issues and adapt to rapidly evolving AI technologies. Privacy and Compliance Knowledge: Understanding of data privacy regulations, security best practices, and ethical considerations in AI development Experience working with Google Gemini models (Gemini 1.5 Pro/Flash, Gemini API, PaLM 2). Proficient in document parsing, NLP, OCR, and GenAI-based transformation. Strong skills in Python, JavaScript/TypeScript, Flask, FastAPI, Node.js, or Next.js. Knowledge of Firestore, BigQuery, Pub/Sub, Cloud Functions, and security best practices on GCP. Experience in CI/CD, model tracking, and MLOps pipeline development using Vertex Pipelines and MLflow. Strong sense of ownership and accountability, with a focus on delivering production-ready systems. Always ready to work with a startup mentality. Good to have skills- Frontend (Optional): Angular Skills: English Full Stack Development Gemini GitHub Google Cloud Platform Shift Timing: General Shift Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai

Strong in Java programming React JS Experience in DevOps -Terraform, Kubernetes, CI/CD AWS Cloud Exp in AI Tool is good to have (Knowledge is also fine) Look for candidates who are in SAAS project, Infrastructure development project. Team Management

Job Summary: V K Industrial Corporation Ltd. is seeking a visionary and hands-on Chief Technology Officer (CTO) to lead its technology and digital innovation roadmap. The ideal candidate will align technology initiatives with business goals, oversee all tech operations, and drive digital transformation across the company. Prior experience in the steel, metal or B2B industry is preferred, along with deep understanding of industry-relevant software managing software tools for operations, logistics. Key Responsibilities: Tech & AI Strategy Design and lead the digital roadmap with a strong focus on AI-driven solutions Identify and implement use cases for AI in demand forecasting, route optimization, pricing models, and customer service Stay updated on emerging tech to ensure competitive advantage Platform & Systems Architecture Oversee development or integration and implementation of ERP, CRM, and AI platforms Ensure seamless connectivity across inventory, logistics, sales, and finance systems Choose the right tech stack and vendors (build vs. buy decisions) Technology Research & Market Analysis Conduct market analysis and research to identify new technologies relevant to the steel distribution industry Evaluate emerging tools and platforms for potential implementation Stay educated on AI, logistics tech, and software trends that impact the sector Analyze operational data to identify inefficiencies and opportunities for tech-driven improvement Customer-Facing Tech Lead development of smart quotation tools, sales CRMs, and client portals Integrate chatbots and automation for client communication and onboarding Leadership & Collaboration Build and mentor an internal tech team (developers, data scientists, engineers) Collaborate closely with operations, sales, finance, and leadership Create a culture of innovation, experimentation, and data-first decision making

Tech & AI Strategy Platform & Systems Architecture Technology Research & Market Analysis Customer-Facing Tech Customer-Facing Tech experience in senior technology leadership roles managingIT infrastructure, cloud platforms & cybersecurity frameworks

Hello Professionals, Greeting's from ZettaMine!!! Job Title: Data Engineer Lead Experience: 6 Years to 10 Years Location: Bangalore Job Type: Full-Time Notice period : immediate/15 days Job Description: Key Qualifications 6 to 10 years of experience in data engineering, data quality, or analytics engineering roles. Proficient in Python, Alteryx, SQL, and cloud data platforms like Snowflake. Deep understanding of data pipelines, ETL/ELT processes, and data validation best practices. Experience with AI/ML in data quality (anomaly detection, NLP-driven validation, etc.). Familiarity with enterprise systems like Workday, Beeline, and custom Excel-based reporting. Strong interpersonal and communication skills to work with executive stakeholders and distributed teams How to Apply: If you are interested kindly share your updated CV to swetha.p@zettamine.com Please include the following in your email/WhatsApp: Full Name Contact Number Total Experience Relevant Experience Current CTC Expected CTC Notice Period Thanks & Regards, Swetha

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Mandatory Key Skills kubernetes,docker,microsoft azure,gcp,aws sagemaker,azure devops,linux,google,ai platform,machine learning,ml,artificial intelligence,java,natural language processing,python*,sql*,linux internals*,cloud infrastructure management*,aws*

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Mandatory Key Skillskubernetes,docker,microsoft azure,gcp,aws sagemaker,azure devops,linux,google,ai platform,machine learning,ml,artificial intelligence,java,natural language processing,python*,sql*,linux internals*,cloud infrastructure management*,aws*

Role & responsibilities :- Design, develop, and maintain GenAI applications and agentic workflows using unified LLM developer APIs and Agent Builder. Integrate and manage foundation and tuned LLMs (e.g., Gemini, GPT, Llama, Claude) for both internal and external use cases. Build and optimize RAG pipelines leveraging centralized vector databases and embedding stores. Develop and deploy GenAI models and BYOA (Bring Your Own Application) solutions as Docker images on Kubernetes-based infrastructure. Implement prompt engineering, orchestration, and evaluation workflows using workbench plugins and browser extensions. Support and extend user interfaces (web UI, browser extension, Slack integration) for interacting with GenAI agents and tools. Ensure robust security, compliance, and governance, including role-based access control, audit logging, and data privacy controls. Collaborate with data scientists, ML engineers, and product teams to deliver scalable, production-grade GenAI solutions. Participate in code reviews, architecture discussions, and continuous improvement of the GenAI platform. Immediate Joiners Preferred Full Stack Development experience is must to have

Job Description: You will be responsible for leading the configuration, maintenance, and optimization of the organization's network and security infrastructure to ensure high performance and reliability. Your key responsibilities will include: - Architecting and integrating networks across multiple business units and diverse cloud environments, ensuring seamless connectivity and scalability. - Championing the use of Infrastructure as Code processes to automate and maintain infrastructure consistency, scalability, and up-to-date configurations. - Overseeing the configuration, deployment, and management of F5 Local Traffic Managers (LTMs) and Advanced Security Modules (ASMs) to ensure seamless application delivery and security. - Creating and implementing strategies for integrating cloud Virtual Private Clouds (VPCs), interconnects, and direct connects, ensuring efficient and secure data flow between on-premises and cloud environments. - Proactively identifying opportunities to enhance the network's scalability and resilience, ensuring it can handle growing business demands and traffic loads. - Working closely with infrastructure, application, and security teams to ensure network designs meet cross-functional requirements and adhere to best practices. Qualifications Required: - Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Company Details: Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do and they push us to ensure we take care of ourselves, each other, and our communities. If you want to learn more about our culture and community, you can visit https://about.pypl.com/who-we-are/default.aspx.,

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Design, develop, and deploy machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML. Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering. Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP. Develop custom machine learning models tailored to business needs, including supervised, unsupervised, and reinforcement learning algorithms. Integrate AI/ML models into cloud applications and ensure seamless operation in production environments. Work closely with software engineers to embed AI/ML models into applications and products, ensuring best practices for CI/CD in ML. Conduct research to stay up-to-date with the latest AI/ML techniques and apply them to business use cases. Job Description: Essential Responsibilities: Lead the configuration, maintenance, and optimization of the organization's network and security infrastructure to ensure high performance and reliability. Architect and integrate networks across multiple business units and diverse cloud environments, ensuring seamless connectivity and scalability. Champion the use of Infrastructure as Code processes to automate and maintain infrastructure consistency, scalability, and up-to-date configurations. Oversee the configuration, deployment, and management of F5 Local Traffic Managers (LTMs) and Advanced Security Modules (ASMs) to ensure seamless application delivery and security. Create and implement strategies for integrating cloud Virtual Private Clouds (VPCs), interconnects, and direct connects, ensuring efficient and secure data flow between on-premises and cloud environments. Proactively identify opportunities to enhance the network's scalability and resilience, ensuring it can handle growing business demands and traffic loads. Work closely with infrastructure, application, and security teams to ensure network designs meet cross-functional requirements and adhere to best practices. Minimum Qualifications: Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Preferred Qualification: Master's degree or higher in Computer Science, Mathematics, or related field with keen interest in Machine Learning and AI Proven experience in developing and implementing solutions in machine learning and AI-related spaces Strong programming skills in languages such as Python, Java, or C++ In-depth knowledge of machine learning frameworks and libraries for analytics and text processing (e.g., TensorFlow, PyTorch) Experience with cloud services related to machine learning (Vertex AI, etc.) Excellent problem-solving skills and the ability to work in a fast-paced environment Strong communication skills to effectively collaborate with team members and stakeholders Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices Proven experience leading and delivering complex ML projects at production scale Experience integrating ML solutions into cloud environments (e.g., AWS, Azure, GCP) is highly desirable Perform model tuning, evaluation, and monitoring for performance and accuracy improvements. Provide mentorship and guidance to junior developers and contribute to code reviews, technical design sessions, and project planning. Ensure security, scalability, and performance of ML models deployed in production. Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit . For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Develop and maintain Python-based applications. frameworks- Django or Flask. Collaborate on AI/ML model development and deployment. Work with AWS services (EC2, Lambda, S3, etc.) for cloud-based development. 1+ Year Experience Location - Lower Parel

Your Role Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Your Profile 7+ years of experience in software development, with at least 4+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. What you "love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

About The Role 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 : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing.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.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability.Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of natural language processing techniques.- Experience with cloud AI services like AWS SageMaker or Google AI Platform.- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.- Hands-on experience in developing AI applications.- Familiarity with deploying AI models in production environments. Additional Information:- The candidate should have a minimum of 2 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Freshers Altert! Looking for entry-level talent! Great chance for fresh grads (Batch 2024-27) to gain hands-on experience in Digital Marketing (SEO, SMM) Full Stack, UI/UX, AI/ML, Node.js, Chatbot Development. Open to MBA/B.Tech/M.Tech/MCA/BCA. Performance bonus

[About the Hiring Company] We are a healthcare AI startup focused on developing cutting-edge solutions for medical imaging and diagnostics. Our mission is to improve early disease detection and support better clinical decisions through artificial intelligence. As we establish our new office in Noida/Delhi NCR, we are building a dynamic local team. Join us to work on impactful projects, collaborate with leading hospitals, and help shape the future of AI-driven healthcare. (https://www.aicess.ai) [Job Responsibilities] > Web server and backend development > Mobile server development [Qualifications & Skills Required] > Bachelor's degree in B.Tech, BCA > 5+ years of development experience (education level not required) > Java Spring/Spring Boot framework development > RestFul API and JWT (JSON Web Token) development > Database design and programming > Hindi(Native) English(Fluent) [Preferred Qualifications] > Experience using container services such as Docker and Kubernetes > Experience building and operating DevOps or CI/CD pipelines > Experience designing and consulting on server security > Experience developing PACS systems or integrations [Working Condition] > Working Days: 5~6 days per week > Working Hours : 8 hours per day > Working Location: Pune

About Creatrix Campus Creatrix Campus is a next-generation SaaS platform purpose-built for higher education. With a growing customer base across the USA, UAE, Malaysia, and beyond, Creatrix simplifies operations for universities through AI, automation, and low-code/no-code configurability. Were scaling rapidly and building an architecture-first culture that values performance, reusability, and product innovation. Role Summary: We are seeking a Business Analyst with strong product sense and AI fluency to join our Product Solution Department. You will work closely with Product Owners, Clients, and Engineering teams to define scalable, configurable, and AI-augmented solutions for higher education. You wont be expected to build AI models, but you must be able to leverage AI in your daily work and stay current on trends that affect EdTech. Key Responsibilities: Product & Functional Analysis Analyze complex university workflows (Admissions, SIS, Curriculum, Accreditation, etc.) and define user requirements Create BRDs, FRDs, solution documents, user flows, and wireframes for product development Translate client problems into scalable, no-code/low-code functional solutions Participate in sprints, grooming sessions, and product roadmap discussions AI-Enhanced Solutioning Use AI tools (e.g., ChatGPT, Claude, Google Vertex AI, LangChain, GPT-based apps) to: Generate user stories, acceptance criteria, and documentation Brainstorm and evaluate AI use cases within the product lifecycle Support prototyping or feature testing with mock AI responses Stay updated on emerging AI frameworks, open-source tools, and no-code AI platforms Collaborate with AI engineering teams on data structuring, prompt design, and workflow automation ideas Stakeholder Collaboration Gather requirements from institutional users like Registrars, Deans, and IT teams Lead solution walkthroughs, CRP sessions, and UAT support with clients Translate cross-functional feedback into clear, prioritized specifications Documentation & Quality Support Maintain structured documentation on Confluence, PMIS, or Creatrix tools Support QA teams in defining test cases and validation flow Assist in training, adoption material creation, and onboarding guides Required Skills & Qualifications: Domain & Experience 3 - 6 years of experience as a Business Analyst, preferably in EdTech or SaaS Familiarity with higher education systems (SIS, LMS, Accreditation, Student Lifecycle) Strong understanding of modular SaaS architecture , workflows, and configurable systems AI Fluency (Non-Coding) Hands-on use of tools like ChatGPT, Midjourney, Prompt Engineering , or similar platforms Familiar with concepts like OCR, Recommendation Systems, Predictive Analytics , etc. Aware of AI frameworks (e.g., LangChain, LLMs, fine-tuning vs. prompting, etc.) Passionate about exploring AI for requirement writing, wireframing, testing, and knowledge management Technical & Tooling Skills Tools: Jira, Confluence, Luci chart/Miro, Creatrix PMIS, Excel, Notion Comfort reading/writing structured data (e.g., JSON, basic SQL) Ability to collaborate with engineers and speak the language of systems Soft Skills Excellent analytical, documentation, and communication skills Creative thinker with attention to detail and a strong product mindset Quick learner and strong collaborator across regional teams Nice to Have Experience working in Agile/Scrum environments Exposure to no-code platforms or AI-Project Any AI certifications (e.g., Prompt Engineering, AI Product Management)

B2B Sales Executive role: Engage leads via calls, email, WhatsApp, explain products, use AI tools like ChatGPT, negotiate deals, manage customer data online. Requires strong communication, sales skills, and relevant graduate/diploma.

B2B Sales Executive role: Engage leads via calls, email, WhatsApp, explain products, use AI tools like ChatGPT, negotiate deals, manage customer data online. Requires strong communication, sales skills, and relevant graduate/diploma.

Full-time on-site role in Madurai for a Digital Marketing Executive. Responsibilities include SEO, SMM, Google & Meta Ads, content writing, and web analytics. Open to freshers and experienced candidates. Strong communication skills required.