2114 Chatbot Jobs - Page 33

Description JOB RESPONSIBILITY : Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and : Minimum education: Bachelors degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer : Minimum relevant experience - 4+ years in AI AND COMPETENCIES Skills : Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using Git and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in microservices based Expertise : Strong mathematical foundation in statistics, probability, linear algebra, and optimization Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and Competencies : Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Ability to mentor and share knowledge with team members (ref:hirist.tech)

Job Description Chatbot / Conversational AI Technical Leader Responsibilities Provides technical leadership in Chat Bot/Voice Bot Space. Implement a Chat Bot for Various Business Adapt quickly to change in requirements and be willing to work with different technologies if required Lead the effort to build, implement and support the data infrastructure Manage the Intelligence Automation Engineer and vendor partners, ensuring to prioritize projects according to customer and internal needs, and develops top-quality data pipelines using industry best practices Own most deliverables for the ITSM Chat Bot team from a delivery perspective Lead cross-functional team members and stakeholders throughout projects of varying scope and complexity Gather requirements from business and IT users and Come up with Estimation. Responsible for the design, development, and implementation of chatbot & voicebot agents using the Azure cloud services and Genesys/Amazon connect/Smartassist/Avaya Interface and liaise with both business partners and (potentially) external vendors Required Skills And Qualifications At least 5 years of experience implementing Chatbot technologies Knowledgeable in basic concepts of NLP and NLU – Intent Classification, Keyword/Entity extraction , Text Similarity, Text Pre-processing, dialog flows, speech to text, text to speech and telephony systems. Basic knowledge of Machine Learning concepts – Training, Accuracy Evaluation Development experience in NodeJS, REST Services. Experience of working in cloud environment like Azure, AWS, Google Cloud Platform, IBM Cloud Ability to embed chatbot in multiple channels like Website, SMS, Email, Skype, Facebook Messenger, MS Teams, WhatsApp etc. Knowledge on all phases of software development, including UI design and development, microservices design and development, relational and non-relational DBs, APIs and external integration, quality assurance, validation documentation, security, and infrastructure. Knowledge on business functions and user stories, decompose them into technical specifications, and develop working application code for a cloud environment. Hands on experience in building applications using Java Script frameworks (NodeJS), AngularJS/ReactJS, SQL and No SQL Databases Experience with JSON Knowledge of analytics / visualization via dashboards and reporting tools Education Requirements Bachelor's degree in Computer Science, Engineering, Statistics, Technical Science, or 3+ years of IT/Programming experience Minimum 2 years of experience in solutioning for Artificial Intelligence use cases, plus web application development & systems integration experience e.g. REST/SOAP Prior solutioning experience with No SQL databases, integrating unstructured data Preferred Skills Hands on experience in one or more of the following AI technologies: Language – Natural Language Processing, Natural Language Understanding, Speech to Text, Text to Speech, Sentiment Analysis, Language Detection, Classification, Telephony channel experience AI solutions – Virtual Agents, intelligent case processing, Video Analytics, inference engines, stream monitoring, intelligent search, ontologies/knowledge representations, voice technologies (Speech To Text & Text To Speech), Custom Language Model creation. Knowledge and experience in some of the key AI platforms, e.g., Kore.ai, Servicenow VA, IBM Watson, Microsoft Azure Cognitive Services, Google Dialogflow Web UI and dashboard design experience Experience working in a DevOps environment, and using industry standard tools (GIT, JIRA) Able to explain technical concepts in a non-technical language Professional Skill Requirements Proven success in contributing to a team-oriented environment Proven ability to work creatively and analytically in a problem-solving environment

Job Title: Manager - HR Digital & Analytics Location: Gurgaon Experience: 6 years Industry: Retail / FMCG / E-commerce / Corporate Job Summary We are seeking a highly skilled Manager - HR Digital & Analytics to drive HR technology initiatives, optimize HR systems, and leverage data analytics for strategic decision-making. The role will focus on digital transformation, HRIS management, workforce analytics, and automation to enhance efficiency and employee experience. Key Responsibilities HR Digital Transformation & HRIS Management Implement and manage HR technology solutions (HRMS, HCM, ATS, LMS, etc.). Drive HR automation and digitalization to improve processes. Partner with IT & HR teams to ensure seamless system integration and upgrades. Manage employee self-service portals and optimize user experience. HR Data Analytics & Reporting Design and implement HR dashboards, reports, and analytics for decision-making. Analyze key HR metrics such as attrition, retention, performance, and engagement trends. Support workforce planning with predictive analytics and data-driven insights. Ensure accuracy and compliance of HR data across systems. Process Improvement & Automation Identify and implement AI, automation, and chatbot solutions for HR services. Optimize employee lifecycle processes (onboarding, performance management, payroll, etc.). Lead HR digital upskilling and training initiatives for teams. Compliance & Data Security Ensure HR systems comply with GDPR, labor laws, and data privacy policies. Work closely with IT and Compliance teams to maintain data integrity and security. Stakeholder Management Collaborate with HR, IT, Finance, and leadership teams for digital projects. Work with external vendors to evaluate and implement HR tech solutions. Key Skills & Requirements 5 years of experience in HR Digital Transformation, HR Analytics, or HRIS. Strong understanding of HRMS (SAP SuccessFactors, Workday, Oracle, PeopleStrong, Darwinbox, etc.). Hands-on experience in HR data visualization (Power BI, Tableau, or Excel Advanced Analytics). Knowledge of automation tools (RPA, AI-based HR solutions, or chatbots). Strong analytical mindset with expertise in HR reporting and predictive analytics. Excellent communication and stakeholder management skills. Qualifications MBA / PG in HR, Analytics, or IT. Certifications in HR Analytics, HR Technology, or Data Science are a plus. Mail updated resume with current salary Email: Satish: 88O2749743 Website: www.glansolutions.com Key Skill: Manager - HR Digital and Analytics, HR Manager, HR Digital, HR Analytics, HR Posted on: 11th Mar, 2025

About Kapture CX Kapture CX is a leading Customer Experience (CX) automation platform that is revolutionizing how businesses interact with their customers. We empower organizations to deliver exceptional customer support, streamline operations, and drive growth through AI-powered automation. As we expand our footprint, we are looking for driven, technical, and client-focused professionals to join our team as Technical Account Managers (TAMs). Role Overview As a Technical Account Manager , you will be the go-to technical advisor and problem-solver for our clients, ensuring their success in using Kapture’s platform. You will be responsible for managing complex technical issues, implementing solutions, and providing world-class customer service. You will work closely with both internal teams and clients to maintain a high level of customer satisfaction and build long-lasting relationships. This role requires a combination of technical expertise, communication skills, and the ability to manage multiple priorities. Key Responsibilities Client Onboarding & Integration Support: Provide expert guidance and hands-on support during client onboarding to ensure a smooth integration with Kapture’s platform. Collaborate with clients to understand their technical requirements and recommend tailored solutions to address their business needs. Lead API integrations, leveraging tools like Postman, cURL, and JSON payloads to ensure seamless system interactions. Technical Support & Troubleshooting: Act as the primary point of contact for technical queries, issues, and escalations from clients. Investigate and resolve technical issues quickly, working with internal engineering and product teams to provide timely solutions. Utilize tools like Kafka (event streaming), Grafana (performance monitoring), and Sentry (error tracking) to diagnose and address technical problems proactively. Client Relationship Management: Build strong, trusted relationships with clients, acting as their advocate within Kapture. Provide regular updates and technical insights to clients, ensuring they are informed about the platform's features, updates, and improvements. Manage ongoing client communication, keeping clients satisfied and ensuring their technical needs are met consistently. Proactive Technical Strategy & Optimization: Identify opportunities to optimize client processes through Kapture’s solutions, offering technical recommendations for improvements. Conduct periodic health checks and performance reviews to ensure clients are fully leveraging the platform’s capabilities. Develop and deliver tailored strategies to ensure clients achieve maximum ROI on their investment in Kapture’s platform. Collaboration & Cross-Functional Support: Collaborate with Sales, Product, Engineering, and Support teams to ensure alignment and smooth delivery of technical solutions. Provide technical insights and feedback to the product team to influence the development of new features and enhancements. Assist in the creation and refinement of technical documentation, including troubleshooting guides, best practices, and knowledge base articles. Documentation & Reporting: Maintain accurate and detailed records of client interactions, technical issues, and resolutions. Prepare regular reports on client health, open issues, and overall satisfaction, providing leadership with valuable insights into account status. Document Root Cause Analyses (RCAs) for significant incidents and ensure that corrective actions are tracked and implemented. What You’ll Need In Your Toolkit API Integration Expertise: Hands-on experience with API integrations using tools such as Postman, cURL, and working with JSON payloads. Error Debugging Skills: Strong diagnostic skills to inspect logs, trace errors, and implement fixes quickly using advanced tools and techniques. Tech Stack Proficiency: Experience with technologies like Kafka (for event streaming), Grafana (for performance monitoring), Sentry (for error tracking), and similar tools to optimize and resolve technical challenges. Excellent Client Management Skills: Proven ability to build relationships, manage client expectations, and communicate technical concepts to both technical and non-technical stakeholders. Problem-Solving Aptitude: Ability to identify the root cause of issues and implement effective solutions, ensuring the success and satisfaction of clients. CRM Expertise (Bonus): Familiarity with CRM systems (Salesforce, HubSpot, etc.), particularly in handling customer data and processes. Database Knowledge (Bonus): Experience with SQL/NoSQL databases, including writing and optimizing queries, as well as understanding data structure and flow. Chatbot & Automation Experience (Bonus): Familiarity with chatbot technologies and AI-driven automation to enhance the client experience. Documentation Skills: Ability to document technical issues, solutions, and root cause analyses (RCAs) clearly and concisely. Who You Are Client-Centric: You are passionate about helping clients solve their technical challenges and ensuring their success with the Kapture platform. Technically Proficient: You have a strong technical background and can seamlessly translate complex technical problems into actionable solutions. Effective Communicator: You are an excellent communicator, able to explain technical concepts clearly to both technical and non-technical audiences. Collaborative: You work well with cross-functional teams and are comfortable working in a fast-paced, dynamic environment. Proactive: You anticipate client needs and issues, addressing them before they escalate. Why Join Kapture CX Be part of a dynamic and fast-growing company shaping the future of CX automation. Work with a diverse and talented team, including product, engineering, and customer success experts. Enjoy a competitive compensation package with performance bonuses. Get opportunities for growth and development in a cutting-edge field.

Role Overview As a Technical Account Manager , you will be the go-to technical advisor and problem-solver for our clients, ensuring their success in using Kapture’s platform. You will be responsible for managing complex technical issues, implementing solutions, and providing world-class customer service. You will work closely with both internal teams and clients to maintain a high level of customer satisfaction and build long-lasting relationships. This role requires a combination of technical expertise, communication skills, and the ability to manage multiple priorities. Key Responsibilities Client Onboarding & Integration Support: Provide expert guidance and hands-on support during client onboarding to ensure a smooth integration with Kapture’s platform. Collaborate with clients to understand their technical requirements and recommend tailored solutions to address their business needs. Lead API integrations, leveraging tools like Postman, cURL, and JSON payloads to ensure seamless system interactions. Technical Support & Troubleshooting: Act as the primary point of contact for technical queries, issues, and escalations from clients. Investigate and resolve technical issues quickly, working with internal engineering and product teams to provide timely solutions. Utilize tools like Kafka (event streaming), Grafana (performance monitoring), and Sentry (error tracking) to diagnose and address technical problems proactively. Client Relationship Management: Build strong, trusted relationships with clients, acting as their advocate within Kapture. Provide regular updates and technical insights to clients, ensuring they are informed about the platform's features, updates, and improvements. Manage ongoing client communication, keeping clients satisfied and ensuring their technical needs are met consistently. Proactive Technical Strategy & Optimization: Identify opportunities to optimize client processes through Kapture’s solutions, offering technical recommendations for improvements. Conduct periodic health checks and performance reviews to ensure clients are fully leveraging the platform’s capabilities. Develop and deliver tailored strategies to ensure clients achieve maximum ROI on their investment in Kapture’s platform. Collaboration & Cross-Functional Support: Collaborate with Sales, Product, Engineering, and Support teams to ensure alignment and smooth delivery of technical solutions. Provide technical insights and feedback to the product team to influence the development of new features and enhancements. Assist in the creation and refinement of technical documentation, including troubleshooting guides, best practices, and knowledge base articles. Documentation & Reporting: Maintain accurate and detailed records of client interactions, technical issues, and resolutions. Prepare regular reports on client health, open issues, and overall satisfaction, providing leadership with valuable insights into account status. Document Root Cause Analyses (RCAs) for significant incidents and ensure that corrective actions are tracked and implemented. What You’ll Need In Your Toolkit API Integration Expertise: Hands-on experience with API integrations using tools such as Postman, cURL, and working with JSON payloads. Error Debugging Skills: Strong diagnostic skills to inspect logs, trace errors, and implement fixes quickly using advanced tools and techniques. Tech Stack Proficiency: Experience with technologies like Kafka (for event streaming), Grafana (for performance monitoring), Sentry (for error tracking), and similar tools to optimize and resolve technical challenges. Excellent Client Management Skills: Proven ability to build relationships, manage client expectations, and communicate technical concepts to both technical and non-technical stakeholders. Problem-Solving Aptitude: Ability to identify the root cause of issues and implement effective solutions, ensuring the success and satisfaction of clients. CRM Expertise (Bonus): Familiarity with CRM systems (Salesforce, HubSpot, etc.), particularly in handling customer data and processes. Database Knowledge (Bonus): Experience with SQL/NoSQL databases, including writing and optimizing queries, as well as understanding data structure and flow. Chatbot & Automation Experience (Bonus): Familiarity with chatbot technologies and AI-driven automation to enhance the client experience. Documentation Skills: Ability to document technical issues, solutions, and root cause analyses (RCAs) clearly and concisely. Who You Are Client-Centric: You are passionate about helping clients solve their technical challenges and ensuring their success with the Kapture platform. Technically Proficient: You have a strong technical background and can seamlessly translate complex technical problems into actionable solutions. Effective Communicator: You are an excellent communicator, able to explain technical concepts clearly to both technical and non-technical audiences. Collaborative: You work well with cross-functional teams and are comfortable working in a fast-paced, dynamic environment. Proactive: You anticipate client needs and issues, addressing them before they escalate. Why Join Kapture CX Be part of a dynamic and fast-growing company shaping the future of CX automation. Work with a diverse and talented team, including product, engineering, and customer success experts. Enjoy a competitive compensation package with performance bonuses. Get opportunities for growth and development in a cutting-edge field.

Qualifications  experience in Python backend development , with a strong understanding of asynchronous programming.  Expertise in FastAPI, SQLAlchemy, Pydantic, and scalable backend architecture.  Hands-on experience with chatbot development and integrating LLMs (e.g., GPT, Claude, Gemini) into backend systems.  Familiarity with LLM orchestration frameworks such as LangChain, OpenAI SDK, or LlamaIndex.  Strong knowledge of RAG architecture and real-time document-query pipelines.  Experience with API Gateway management and building secure, multi-tenant backend platforms.  Proficiency in SQL/NoSQL databases such as PostgreSQL,MYSQL or CosmosDB.  Experience integrating Azure AI Services, or equivalents from AWS or Google Cloud.  Understanding of role-based access control and secure authentication using JWT/OAuth2.  Familiarity with containerization (Docker), CI/CD workflows, and monitoring/logging tools. Immediate joiners apply Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,600,000.00 per year Location Type: In-person Work Location: In person Speak with the employer +91 7356497435

About Us – We are a technology organisation in the learning and development space building game based and impact assessment products. We are at the edge of multiple technologies building the next generation of digital learning games and tools. Our products include Chatbot AI technologies and core game based technologies to drive our product development. Senior BE Developer Work on our proprietary platforms that have learning applications for the L&D market This role will work closely with the technical lead and CPTO to ensure that all our backends are working seamlessly The role will require building new market led features logic and API’s that will be implemented in the front end. This role will work with our data layers to produce reports as required and needed, Functional Skill Required: ⁃ Prior programming in NodeJs, GO ⁃ Typescript, JavaScript ⁃ Postgres, MySQL ⁃ AWS Additional Skills Expected 1. Agile Learner - Ability to grasp ideas and concepts quickly 2. Test your code ethics - Ensure that dev code is tested before release 3. Curiosity - Aim to know and do more than just the basics 4. Willing to teach - Enhance the knowledge of others in the system 5. Strong Communicator - Be participative and ask questions t o get and create clarity Contact : 8015036006 Job Type: Full-time Pay: ₹800,000.00 - ₹1,000,000.00 per year Location Type: In-person Schedule: Day shift Work Location: In person Speak with the employer +91 8015036006

Job Title: Performance Marketing Lead – B2B Digital Marketing Location: Safidon,Jind,Haryana-126112 Company: Agricul Experience Required: 2–5 Years Employment Type: Full-Time About Agricul: Agricul is a digital-first B2B agrochemical company on a mission to revolutionize how dealers and retailers access pesticide and crop protection products. With a 100% online presence and an inside sales model, we are redefining the agri-input supply chain through tech, data, and performance marketing. We're looking for a Performance Marketing Lead to drive B2B growth via paid digital campaigns and help scale our dealer acquisition across India. Key Responsibilities: 🔹 Digital Performance Marketing Plan, manage, and optimize Meta (Facebook/Instagram) and Google Ads (Search, Display, Video) campaigns for lead generation and dealer onboarding. Build and manage the digital sales funnel aligned with inside sales—optimizing cost per lead (CPL), conversion rate, and ROAS. Develop high-converting landing pages, WhatsApp lead flows, and form-based acquisition strategies. Retarget leads and build remarketing journeys across channels. 🔹 Inside Sales Integration Work closely with the inside sales team to ensure leads are qualified, nurtured, and converted effectively. Provide feedback loops to improve targeting, messaging, and lead quality. 🔹 Social Media & Brand Visibility Drive organic and paid growth across LinkedIn, Facebook, Instagram, and YouTube , focused on dealer engagement and product awareness. Collaborate with design/content teams to create ads, videos, and posts tailored for B2B audiences. 🔹 Team & Strategy Leadership Lead a small performance marketing team and manage external agencies/freelancers if needed. Own the performance marketing roadmap , forecast budgets, and report monthly marketing KPIs to management. Must-Have Requirements: Bachelor’s or Master’s in Marketing, Agri-Business, or related field. 2–5 years of hands-on experience in performance marketing (Meta & Google) with a B2B or D2C digital brand . Proven ability to scale lead generation campaigns and support remote/inside sales. Experience with marketing analytics tools (e.g., Meta Business Suite, Google Analytics, UTM tracking, CRM dashboards). Strong communication, strategic thinking, and team management skills. Nice-to-Have (Preferred): Experience in the agriculture/agri-input sector , targeting dealers, distributors, or channel partners. Exposure to app promotion campaigns (via Google UAC, Meta app install ads, MMP tools like AppsFlyer or Firebase). Familiarity with WhatsApp Business API, chatbot flows, and vernacular content marketing. What We Offer: Leadership role in a fast-growing, digital-first agri-tech brand. High ownership, growth opportunities, and the ability to build from scratch. Competitive compensation with incentives linked to lead generation and sales outcomes.

Job Title: Python Developer – Data Science & AI Integration Location: Chandkheda, Ahmedabad, Gujarat 382424 Experience: 2–3 Years Employment Type: Full-time Work Mode: On-site About the Role We are seeking a talented and driven Python Developer to join our AI & Data Science team. The ideal candidate will have experience in developing backend systems, working with legal datasets, and integrating AI/LLM-based chatbots (text and voice). This is a hands-on role where you’ll work across modern AI architectures like RAG and embedding-based search using vector databases. Key Responsibilities Design and implement Python-based backend systems for AI and data science applications. Analyze legal datasets and derive insights through automation and intelligent algorithms. Build and integrate AI-driven chatbots (text & voice) using LLMs and RAG architecture. Work with vector databases (e.g., Pinecone, ChromaDB) for semantic search and embedding pipelines. Implement graph-based querying systems using Neo4j and Cypher. Collaborate with cross-functional teams (Data Scientists, Backend Engineers, Legal SMEs). Maintain data pipelines for structured, semi-structured, and unstructured data. Ensure code scalability, security, and performance. Required Skills & Experience 2–3 years of hands-on Python development experience in AI/data science environments. Solid understanding of legal data structures and preprocessing. Experience with LLM integrations (OpenAI, Claude, Gemini) and RAG pipelines. Proficiency in vector databases (e.g., Pinecone, ChromaDB) and embedding-based similarity search. Experience with Neo4j and Cypher for graph-based querying. Familiarity with PostgreSQL and REST API design. Strong debugging and performance optimization skills. Nice to Have Exposure to Agile development practices. Familiarity with tools like LangChain or LlamaIndex. Experience working with voice-based assistant/chatbot systems. Bachelor's degree in Computer Science, Data Science, or a related field. Why Join Us? Work on cutting-edge AI integrations in a domain-focused environment. Collaborate with a passionate and experienced cross-functional team. Opportunity to grow in legal-tech and AI solutions space.

Selected Intern's Day-to-day Responsibilities Include Develop and optimize RAG-based chatbots by integrating large language models with external data sources. Work with Google Cloud AI services, including Vertex AI, Firestore, and BigQuery, to deploy and scale AI applications. Build and maintain React-based front-end interfaces for AI-powered chat applications. Develop backend logic in Python using FastAPI, Flask, or Django. Implement vector search, embedding models, and prompt engineering for enhanced AI performance. Optimize APIs and data pipelines for efficient retrieval and response generation. Collaborate with the team to improve user experience and chatbot accuracy. About Company: We are a retail organization specializing in the manufacturing of baby garments and wooden toys. Our unique focus lies in upcycling pre-loved garments into sustainable home decor products. Currently, we are developing two flagship offerings: Troy- a set of handcrafted wooden building blocks, and SR Quilt- a sustainable, upcycled quilt line. Both products reflect our commitment to circular design and responsible manufacturing. SR Quilt is proudly incubated at NSRCEL, IIM Bangalore, further supporting our mission to innovate at the intersection of sustainability, design, and impact.

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: I. Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. II. Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. III. Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya IV. Integrate with IVR systems and Proficiency in webhook setup and API integration. V. Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. VI. Creation of agents in Agent builder and integrating them into end end to pipeline using python. VII. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. VIII. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities IX. Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. X. Document technical designs, processes, and setup for various integrations. XI. Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot , generative AI models, prompt Engineering. - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: 1 The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. 2 The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. 15 years full time education

AI Agent Developer Intern – 6 Months Internship Location: Vikhroli, Mumbai (On-site) We are looking for a passionate and curious AI Agent Developer Intern to join our team and explore the world of large language models, AI agents, and automation tools. This is a great opportunity for someone eager to work hands-on with cutting-edge technologies and contribute to real-world solutions. Duration: 6 Months Location: Vikhroli, Mumbai Key Responsibilities Develop and experiment with AI agents using LLMs, LangChain, Google ADK, or similar frameworks Write clean, efficient Python code for prototypes and workflows Explore and integrate APIs, automation tools, and third-party platforms Work with tools like Cursor, Jupyter Notebook, and documentation to build independently Assist in prompt engineering, debugging, and model evaluation tasks Required Skills & Qualifications: Strong foundation in Python programming, data structures, and REST APIs Eagerness to learn and experiment with LLMs and agent development frameworks Interest in AI agents, autonomous workflows, and chatbot/automation systems Self-starter attitude with the ability to explore documentation and tools independently Good problem-solving skills and attention to detail Preferred/Education Pursuing or recently completed a Bachelor’s in Computer Science, IT, or related fields Bonus: Hands-on experience or personal projects related to AI, agents, or automation About Company Founded in 2011, Purplle has emerged as one of India’s premier omnichannel beauty destinations, redefining the way millions shop for beauty. With 1,000+ brands, 60,000+ products, and over 7 million monthly active users, Purplle has built a powerhouse platform that seamlessly blends online and offline experiences. Expanding its footprint in 2022, Purplle introduced 6,000+ offline touchpoints and launched 8 exclusive stores, strengthening its presence beyond digital. Beyond hosting third-party brands, Purplle has successfully scaled its own D2C powerhouses—FACES CANADA, Good Vibes, Carmesi, Purplle, and NY Bae—offering trend-driven, high-quality beauty essentials. What sets Purplle apart is its technology driven hyper-personalized shopping experience. By curating detailed user personas, enabling virtual makeup trials, and delivering tailored product recommendations based on personality, search intent, and purchase behavior, Purplle ensures a unique, customer-first approach. In 2022, Purplle achieved unicorn status, becoming India’s 102nd unicorn, backed by an esteemed group of investors including ADIA, Kedaara, Premji Invest, Sequoia Capital India, JSW Ventures, Goldman Sachs, Verlinvest, Blume Ventures, and Paramark Ventures. With a 3,000+ strong team and an unstoppable vision, Purplle is set to lead the charge in India’s booming beauty landscape, revolutionizing the way the nation experiences beauty.

AI Success Manager About Our Client: Our client is a tech-enabled outsourcing platform that integrates AI with human expertise to deliver exceptional customer experiences. Their servicesranging from telecalling to sales and supportleverage automation and trained professionals to drive efficiency, reduce costs, and scale business growth across industries. Job Description: AI Success Manager Location: Noida Experience: 3+ Years Qualification: Bachelors in Engineering or relevant field About the role: This is a customer-facing, project management + technical role focused on deploying AI voice/chat agents for clients. Youll act as a bridge between customers, tech, and internal teamsmaking sure the AI agent is designed, integrated, tested, launched, and improved continuously. Responsibilities: Conduct deep-dive sessions to capture goals, data flows, compliance rules, and success metrics. Translate requirements into a clear agent blueprint for building AI agent—conversation flows, prompts, fallback logic, and reporting. Coordinate Product, Engineering, and Ops to configure, test, and launch the AI agent within agreed timelines and budgets. Connect the agent with CRMs, telephony, and data sources via APIs and webhooks; validate end-to-end hand-offs. Guide customers through UAT, collect feedback, and secure go-live approval. Track containment rate, CSAT, and other KPIs; fine-tune prompts and flows to boost performance. Identify new use cases and channels, build business cases, and partner with Sales to grow account revenue. Surface product gaps and influence the roadmap with data-backed insights. Support and coordinate with the operations team and other stakeholders to ensure seamless delivery to customers. Raise open issues with cross-functional teams and drive resolution in a timely manner. “Growth” getter & upseller: Find opportunities to upsell/cross-sell/upgrade in existing customer base to expand the MRR or recurring revenue. Solicit references from existing customers. Own the customer journey from kickoff to steady state, helping prompt writers design, launch and iterate on their AI agents. Coordinate with finance teams for billing initiatives. Run regular check-in meetings through weekly, monthly, and quarterly business reviews to proactively address customer needs, and concerns, and provide quick and effective solutions. Requirements: 3+ years in customer-facing implementation of conversational AI (voice or chat). Proven experience integrating AI solutions with CRMs or ticketing platforms (e.g., Zendesk, Freshdesk, custom stacks). Comfort with basic web tech and APIs, enough to collaborate effectively with engineers. Strong project-management discipline: scoping, timelines, risk mitigation, stakeholder updates. Executive-level communication skills; able to translate technical details into business impact. Mindset of continuous improvement—you treat go-live as Day 1, not done. About Hireginie: Hireginie is a prominent talent search company specializing in connecting top talent with leading organizations. We are committed to excellence and offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Description: GenAI Data Scientist - Senior Associate (PwC US AC) PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. If you are passionate about GenAI technologies and have a proven track record in data science, join PwC US - Acceleration Center and be part of a dynamic team that is shaping the future of GenAI solutions. We offer a collaborative and innovative work environment where you can make a significant impact.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

Job Title: Founding Full-stack Developer About Oculon AI At Oculon AI, we're revolutionizing organizational planning with our next-gen data modeling and business intelligence web application. Our mission is to centralize and simplify planning processes that are currently scattered across outdated tools. Our Engineering team is at the forefront of this transformation, leveraging cutting-edge technologies in Data Analytics and AI to build a robust system. Our platform efficiently processes large multi-dimensional data, predicts metrics, and scenarios using state-of-the-art forecasting ML models, and delivers automated insights through a clean and intuitive UI. We are building advanced AI Agents to enhance user experience and productivity across planning applications. These AI Agents answer questions, automate model and dashboard building, suggest actions, and execute scheduled tasks, providing a seamless, intelligent planning experience. Oculon AI is redefining the world of Financial Planning & Analysis (FP&A) in an established software category with a multi-billion-dollar TAM but no clear winner. We’re here to change that. Join us at Oculon AI and be part of a team that's setting new standards in creating the go-to platform for business planning. Job Description We are seeking an experienced, visionary, and hands-on Senior Fullstack Developer to be a cornerstone of our engineering team. In this pivotal role, you will take ownership of significant parts of our platform, architecting and developing solutions across the entire stack – from intuitive user interfaces dealing with large datasets to robust backend systems and innovative AI integrations. You will collaborate closely with the founding team, product, and design to shape our technology roadmap, implement high-performance, scalable solutions, and drive best practices. Your extensive experience will be crucial in making critical technical decisions and defining the user and developer experience of our product. If you are passionate about building transformative products from the ground up and leveraging cutting-edge technology, this is the role for you. Compensation : For now, there will be Rs. 1,00,000 payout per month for the first 3 months and it will be a full-time role. After that, we will raise the compensation to market value. You will be eligible for a much higher equity payout for your contribution as a founding employee at Oculon. Location : Remote Employment Type : Full-Time Application Link : https://tally.so/r/3j79r4 Responsibilities Architect and Develop: Lead the architecture, development, and maintenance of components of our full-stack web application, including complex frontend components for data modeling (interactive spreadsheets/data-grids, dashboards), sophisticated AI-powered features (chatbot UIs, automated insights), and scalable backend services. Full-Stack Implementation: Design, build, and maintain efficient, reusable, and reliable code across frontend (React.js), backend (Python), and database layers. AI Integration: Collaborate on the design and integration of Generative AI and LLM-powered features, ensuring seamless interaction between AI models and the user-facing application. Data Systems Design: Contribute to the design and optimization of backend systems for handling large multi-dimensional and time-series data, ensuring efficient querying and data processing. Mentor and Guide: Provide technical leadership and mentorship to future team members, fostering a culture of code quality, innovation, and continuous improvement. Optimize Performance: Drive performance optimization initiatives across the stack, ensuring the application meets high standards of speed, responsiveness, scalability, and data handling capacity. Technical Strategy: Play a key role in defining the overall technical strategy of the product, making critical decisions on technologies, frameworks, and architectural patterns for both frontend and backend systems. Cross-functional Collaboration: Work closely with product managers, designers, and other engineers (as the team grows) to define, design, and ship new features and improvements. Code Reviews and Quality Assurance: Champion and implement coding standards, lead code reviews, and ensure high-quality, maintainable code across the entire codebase. Stay Ahead of Trends: Continuously evaluate and propose new technologies, tools, and methodologies to keep our tech stack current, efficient, and cutting-edge. Required Skills and Qualifications Experience: Minimum 4+ years of professional experience in full-stack development, with a proven track record of architecting and delivering complex, scalable web applications. Frontend Expertise: Advanced proficiency in React.js (including hooks, Context API, performance optimization) and a deep understanding of HTML5, CSS3, and modern JavaScript (ES6+). Backend Proficiency: Strong experience with backend development using Python, including API design (RESTful, GraphQL). Database Knowledge: Solid understanding of database technologies (SQL and/or NoSQL) and experience designing database schemas and writing efficient queries. Architectural Skills: Proven ability to design and implement scalable and maintainable full-stack architectures for data-intensive applications. State Management: Expert-level knowledge of frontend state management solutions (e.g., Redux, Zustand, Recoil) for complex applications. Testing and Quality Assurance: Strong background in full-stack testing methodologies, including unit, integration, and end-to-end testing (e.g., Jest, React Testing Library, Cypress, PyTest). Build and Deployment: Expertise in modern build tools (Webpack, Vite) and CI/CD pipelines. Version Control: Advanced Git skills, including branching strategies and workflow management. Preferred Skills and Qualifications (In decreasing order of preference): a. Advanced Frontend Architecture for Large Data & WebSockets: Demonstrable experience in frontend architecture design, with a strong focus on performance optimizations for handling, rendering, and interacting with very large datasets in the browser. Significant experience designing and consuming WebSocket APIs for real-time, bi-directional communication and data streaming. b. Data Grid & Charting Libraries: Extensive hands-on experience with advanced data grid libraries like AG Grid, including customization, performance tuning for large datasets, and integrating complex features. Proficiency with charting and data visualization libraries such as Recharts, D3.js, or similar, for creating interactive and insightful dashboards. c. AI Engineering & GenAI/LLM Expertise: Proven experience as an AI Engineer or in a similar role involving practical application of Generative AI and Large Language Models (LLMs). Deep understanding and hands-on experience with LLM engineering techniques, including Prompt Engineering, Tool Calling/Function Calling, ensuring Structured Outputs, Retrieval Augmented Generation (RAGs), Multi-Candidate Prompts (MCPs), and familiarity with fine-tuning concepts. d. Backend/Data Engineering for Complex Data Systems: Hands-on experience as a Backend or Data Engineer designing, building, and optimizing systems for querying, processing, and modeling large-scale multi-dimensional and time-series data. Strong familiarity with data warehousing concepts (e.g., Star schemas, Snowflake schemas), column-store databases (e.g., ClickHouse, Druid, or cloud equivalents), and calculation engines (e.g., spreadsheet formula engines, OLAP cube concepts). Additional Valued Skills: Knowledge of WebGL or Canvas for high-performance rendering of large datasets. Experience with micro-frontend or micro-service architectures. Familiarity with server-side rendering (SSR) or static site generation (SSG) techniques (e.g., Next.js). In-depth knowledge of web performance optimization techniques and metrics (Core Web Vitals). Benefits: Flexible Hours: Flexible working hours and remote work options. Growth Opportunities: Unparalleled opportunities for professional growth, skill development, and career advancement as a foundational member of the team. Innovative Environment: A collaborative, stimulating, and innovative work environment where your ideas directly shape the product. Why Join Us? Foundational Impact: As a founding developer, you will have a monumental impact on the technological direction, culture, and ultimate success of Oculon AI. Your contributions will be visible and critical. Greenfield Opportunity: Build from the ground up with modern technologies, without the constraints of legacy code. Solve Hard Problems: Tackle challenging and intellectually stimulating problems in data visualization, AI, and large-scale data management that have a real-world impact. Innovation at Speed: Work on exciting projects that push the boundaries and explore what’s possible using the latest web development, data, and AI tools in a fast-paced environment. Culture of Excellence: Be part of a highly collaborative, inclusive, and high-performing team that values deep technical expertise, innovation, and user-centricity. If you are a highly motivated, innovative, results-oriented, and versatile full-stack developer looking for a unique opportunity to build a category-defining product from its earliest days, we want to hear from you! Application Link : https://tally.so/r/3j79r4 Apply now at the above link to join our team and be part of our exciting journey!

We are looking for a talented Python AI/ML Developer with a strong foundation in machine learning, natural language processing, and data science. If you have a passion for building smart, conversational AI systems and want to work on cutting-edge technology, we’d love to hire you! Benefits 5 Days a Week Health Insurance Flexible Timings Open Work Culture Workshops & Webinars Awards & Recognition Festive Celebrations Key Responsibilities Advanced Model Development: Design and implement cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges. AI Agent and Chatbot Development: Create conversational AI agents capable of delivering seamless, human-like interactions, from foundational models to fine-tuning chatbots tailored to client needs. Retrieval-Augmented Generation (RAG): Develop and optimize RAG models, enhancing AI’s ability to retrieve and synthesize relevant information for accurate responses. Framework Expertise: Leverage LLAMAIndex and LangChain frameworks for building agent-driven applications that interact with large language models (LLMs). Data Infrastructure: Expertise in managing and utilizing data lakes, data warehouses (including Snowflake), and Databricks for large-scale data storage and processing. Machine Learning Operations (MLOps): Manage the full lifecycle of machine learning projects, from data preprocessing and feature engineering through model training, evaluation, and deployment, with a solid understanding of MLOps practices. Data Analysis & Insights: Conduct advanced data analysis to uncover actionable insights and support data-driven strategies across the organization. Cross-Functional Collaboration: Partner with cross-departmental stakeholders to align AI initiatives with business needs, developing scalable AI-driven solutions. Mentorship & Leadership: Guide junior data scientists and engineers, fostering innovation, skill growth, and continuous learning within the team. Research & Innovation: Stay at the forefront of AI and deep learning advancements, experimenting with new techniques to improve model performance and enhance business value. Reporting & Visualization: Develop and present reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences. Cloud-Based AI Deployment: Utilize AWS Bedrock, including tools like Mistral and Anthropic Claude, to deploy and manage AI models at scale, ensuring optimal performance and reliability. Web Framework Integration: Build and deploy AI-powered applications using web frameworks such as Django and Flask, enabling seamless API integration and scalable backend services. Technical Skills Deep Learning & Machine Learning: Extensive hands-on experience with PyTorch, TensorFlow, and scikit-learn, along with large-scale data processing. Programming & Data Engineering: Strong programming skills in Python or R, with knowledge of big data technologies such as Hadoop, Spark, and advanced SQL. Data Infrastructure: Proficiency in managing and utilising data lakes, data warehouses, and Databricks for large-scale data processing and storage. MLOps & Data Handling: Familiar with MLOps and experienced in data handling tools like pandas and dask for efficient data manipulation. Cloud Computing: Advanced understanding of cloud platforms, especially AWS, for scalable AI/ML model deployment. AWS Bedrock: Expertise in deploying models on AWS Bedrock, with tools such as Mistral and Anthropic Claude. AI Frameworks: Skilled in LLAMAIndex and LangChain, with practical experience in agent-based applications. Data Visualization: Proficient in visualization tools like Tableau, Power BI for clear data presentation. Analytical & Communication Skills: Strong problem-solving abilities with the capability to convey complex technical concepts to diverse audiences. Team Collaboration & Leadership: Proven success in collaborative team environments, with experience in mentorship and leading innovative data science projects. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Experience : 3-5 years specializing in deep learning, including extensive experience in PyTorch and TensorFlow. Industry Expertise: Experience in finance, manufacturing, healthcare, or retail sectors. Advanced AI Knowledge: Familiarity with reinforcement learning, NLP, and generative models. Location: Ahmedabad Reporting to: Project Manager

JOB DESCRIPTION Job Title: AI Specialist – Digital Marketing Prospect Location: [Insert Location or Remote] Job Type: Full-time / Contract / Freelance Department: Digital Marketing / AI & Analytics Reports To: Head of Digital Marketing / Chief Marketing Officer Job Overview: We are looking for a forward-thinking AI Specialist – Digital Marketing Prospect to design and implement AI-powered solutions that drive marketing efficiency, improve customer engagement, and optimize campaign outcomes. This role blends data science, machine learning, and digital marketing to transform how we reach, convert, and retain customers. Key Responsibilities: · Build and deploy AI models to enhance digital marketing strategies (e.g., customer targeting, personalization, budget optimization). · Implement intelligent lead scoring systems to improve conversion rates. · Analyze online user behavior across channels (web, email, social, paid ads) using AI techniques. · Apply Natural Language Processing (NLP) for sentiment analysis, content recommendations, and chatbot integration. · Automate campaign performance tracking and generate predictive insights using AI tools. · Integrate AI with marketing platforms like Google Ads, Meta Ads, HubSpot, Salesforce, and Mailchimp. · Collaborate with marketing and content teams to personalize messaging using AI-powered tools. · Conduct A/B testing, model evaluation, and continuous optimization of AI solutions. · Stay current with emerging trends in AI, MarTech, and digital marketing analytics. Required Qualifications: Education & Experience: · Bachelor’s or Master’s degree in Data Science, Computer Science, Marketing Technology, or a related field. · 3+ years of experience in AI/ML, specifically applied to digital marketing. Technical Skills: · Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow). · Experience with AI-driven marketing tools (e.g., Adobe Sensei, Salesforce Einstein, ChatGPT, Jasper). · Strong knowledge of digital marketing channels and tools (SEO, SEM, email, social, programmatic). · Familiarity with Google Analytics, Google Tag Manager, and marketing automation platforms. Soft Skills: · Strong problem-solving and analytical thinking. · Effective communication with both technical and non-technical stakeholders. Interested candidates can share resume Via Whatsapp :- 9953806180

Process: Non-Voice – Australia Web Chat Support Process Shift: Rotational shifts including Saturdays and Sundays Week Offs: 2 rotational week offs Job Description: We are looking for freshers to join our team as Web Chat Executives for an Web chat support process catering to Australian clients. This is a non-voice role that requires strong written communication and proficiency in handling digital tools like Word and Excel. Key Responsibilities: Monitor and manage customer interactions via a chatbot interface Answer to client queries and provide accurate, timely responses Maintain documentation and update logs using MS Word and Excel Adhere to quality and turnaround time standards Requirements: Excellent written and oral communication skills in English Strong working knowledge of MS Word and Excel Proactive, attentive, and a quick learner Willingness to work in rotational shifts, including weekends Must be based in Chennai and available for immediate joining Eligibility: Freshers only; Male candidates are preferred due to rotational shifts Immediate joiners preferred - Need to join by 7th July 2025 Job Type: Full-time Benefits: Provident Fund Schedule: Rotational shift Weekend availability Work Location: In person Speak with the employer +91 9940913046

Engage with senior leadership focused on Transformation roadmap creation, solution levers identification and business case creation. Drive hyper-automation agenda with clients while ensuring their business outcome needs are met. Undertake process due-diligence and work as a trusted advisory to internal and external stakeholder on building an ecosystem of automation. Authoring the RFP responses for client needs wherever required and supporting the detailed solution run-through during the sales cycle. Creation of a commercial construct for process transformation proposals and commercial negotiations with the customers leading up-to contract closure Develop a strong pipeline of proposals through delivering business outcomes. Qualifications 8-10 years of work experience across transformation consulting, solutions, and presales Large to mid-size transformation deal exposure to formulate solution & business case Experience in leading consulting engagements and CXO/ CXO -1 customer conversations Pre Sales and Solution building leveraging RPA, Cognitive, AI/ML, Chatbot, Blockchain and other new age technologies Hands on process understanding of one of the domains (Insurance/ Travel/ Shipping/ Healthcare/ Banking) and knowhow of related functions. Agile/ Six Sigma trained and certified along with an MBA from a top tier institute would be preferred. Job Location

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.