About the Role We are looking for a performance-driven Email Marketing & HubSpot Automation Specialist to join our growing marketing team. You will be responsible for planning, executing, and optimizing email marketing campaigns, and building sophisticated automation workflows using HubSpot Marketing Hub. As one of our early marketing hires, you will play a critical role in shaping our lead nurturing, customer engagement, and retention strategies. Key Responsibilities Email Campaign Management Own the creation, execution, and optimization of email marketing campaigns (newsletters, product updates, nurture flows). Build and manage campaign calendars, ensuring alignment with product and sales initiatives. Drive engagement and conversion with compelling copies and subject lines. Marketing Automation Design and implement automated workflows in HubSpot (e.g., welcome series, re-engagement campaigns, drip nurture tracks). Set up lead scoring, lifecycle stages, and contact segmentation based on engagement and behavior. Maintain and optimize workflow performance using A/B testing and analytics. CRM & Reporting Ensure data integrity and segmentation in the HubSpot CRM. Monitor email KPIs: open rates, CTR, bounce rates, unsubscribe, MQL/SQL progression. Build dashboards and provide monthly campaign performance reports to stakeholders. Cross-Functional Collaboration Work closely with marketing, product, and sales teams to align email messaging and timing. Support sales enablement through email templates, lifecycle triggers, and lead handoff processes. Partner with design for visually optimized email templates. Requirements 2–4 years of hands-on experience in email marketing and HubSpot Marketing Hub (certification is a plus). Strong understanding of email marketing best practices, GDPR/consent laws, and deliverability. Experience in lead nurturing, segmentation, and marketing funnels. Data-driven mindset with ability to interpret and act on analytics. Strong communication and writing skills. Familiarity with HTML/CSS for email formatting is a plus. Nice to Have Experience in a SaaS or B2B tech environment. Knowledge of Google Analytics, landing page CRO, or sales automation tools. Ability to work in fast-paced startup environments. What You’ll Get Opportunity to own the email function end-to-end in a growing marketing team. Access to marketing tools (HubSpot Pro, GA4, etc.). Growth inducive hierarchy and fast decision-making cycles. Flexible work environment and inclusive work environment Show more Show less
Overview: We at Magure are looking for an experienced ML/AI Developer to lead the development and deployment of machine learning models that solve complex business challenges. As an ML/AI Developer, you will work on designing, building, and optimizing AI-driven applications. This is an exciting opportunity to be a part of a team that values innovation, precision, and results. Roles & Responsibilities: 1. Data Management & Preprocessing: Collect, clean, and preprocess large datasets for machine learning projects. Develop automated data pipelines and manage data quality checks. 2. Model Development & Optimization: Design and implement machine learning models for real-world applications. Train, evaluate, and optimize models to ensure high accuracy and performance. Utilize both supervised and unsupervised learning techniques and evaluate algorithm effectiveness. 3. Deployment & Monitoring: Deploy models in production and monitor performance for continuous improvement. Set up model tracking, A/B testing, and version control. 4. Algorithm Research & Innovation: Stay updated with cutting-edge AI/ML algorithms, tools, and best practices. Innovate and experiment with new algorithms to improve project outcomes. 5. Collaboration & Knowledge Sharing: Work closely with data scientists, engineers, and stakeholders to understand project requirements and deliver results. Participate in team meetings, contribute to brainstorming sessions, and support junior team members. 6. Documentation & Reporting: Document model development processes, results, and performance metrics. Prepare reports and presentations to showcase findings and recommendations to management. Qualifications: Education: Bachelor’s or master’s degree in computer science, Data Science, AI, or related field. Experience: Proven experience in ML/AI development with a track record of deploying successful models. Skills: Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit learn). Solid understanding of data structures, algorithms, and big data processing. Experience with cloud platforms like AWS, Azure, or GCP for ML operations. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.
About Magure At Magure, we don’t just build products — we craft meaningful digital experiences. With operations across India and the UAE, we are on a mission to deliver impactful AI and digital transformation solutions that redefine how businesses grow and innovate. We believe in collaboration, ownership, and a culture where every individual adds value to the bigger picture. We’re growing fast, and with that growth comes the need to strengthen our Quality Assurance function — because to us, quality is not just a check box, it's a culture. Why We’re Hiring As we scale and diversify our product and project offerings, we’re looking for someone who can own the QA charter, lead the team, and build robust testing frameworks that guarantee our product quality meets the highest standards. This position is critical to our delivery pipeline, and we're looking for a QA leader who is hands-on, detail-oriented, and proactive. What You’ll Do Take full ownership of the QA lifecycle for assigned projects — from planning and strategy to execution and deployment. Understand client requirements and business use cases thoroughly, ensuring testing aligns with real-world scenarios. Design, build, and maintain automation test frameworks from scratch tailored to each project's needs. Lead and mentor a QA team, introducing new tools, technologies, and best practices. Prepare all relevant QA documentation: Test Plans, RTM, Test Cases, Test Reports, Defect Logs, Release Notes, etc. Promote and implement automation-first and proactive testing approaches. Collaborate closely with developers, business analysts, and project managers to ensure a smooth and quality-focused delivery. Drive continuous improvements in QA processes and encourage early involvement of testing in the SDLC. Communicate effectively across teams and with clients to ensure clarity and alignment. Who You Are A problem solver with a strong sense of ownership and accountability. Passionate about testing with purpose — not just to check a box but to make things better. Comfortable working in dynamic and fast-paced environments with changing priorities. A team player and a leader, always willing to guide and support. Driven to learn, adapt, and bring new ideas to the table. Key Requirements 5+ years of hands-on QA experience, preferably in tech product or services companies. Proven experience in building and maintaining automation frameworks (Selenium, Playwright, Cypress, TestNG, etc.). Proficient in at least one scripting language: Java, JavaScript, Python, etc. Proven experience writing test cases and executing them across multiple browsers, devices, and platforms. Good understanding of REST APIs and experience using tools like Postman or Rest Assured. Experience in working with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Hands-on with API testing (Postman, Rest Assured) and basic SQL for data validation. Familiarity with test management tools like TestRail, Zephyr, Xray, etc. Ability to lead QA processes independently and coach junior testers. Strong documentation and communication skills. Working knowledge of Agile/Scrum development methodology. Bonus: Experience with performance testing (JMeter, Locust), security testing, or mobile testing tools. What We Offer A chance to own and shape the QA function within a growing tech-driven company. Exposure to diverse domains, challenging projects, and modern tech stacks. Collaborative, open, and flexible work culture. Continuous learning opportunities and the freedom to implement new ideas. A front-row seat to watch (and influence) Magure’s evolution as a global tech partner. How to Apply Ready to step into a role where your contributions truly matter? Send your updated CV and a short note to careers@magureinc.com or apply via our LinkedIn Jobs page. Let’s build something extraordinary — together.
About Magure At Magure, we’re not just building products — we’re reimagining what’s possible through technology. With a culture rooted in innovation, ownership, and impact, we’re on a journey to transform industries with AI at the core. We believe that great things happen when curious minds come together — and right now, we’re looking for an AI Research Engineer who’s ready to be a part of something amazing. Why this role matters AI is no longer a "nice-to-have" — it’s central to how we think about the future. That’s why this position isn’t just about code; it’s about creating intelligent systems that drive change, unlocking insights from data, and empowering decision-making at scale. We’re looking for someone who isn’t afraid to question the norm, build from scratch, and bring AI ideas to life in the real world. What you'll be doing Research & Innovation Dive deep into ML/AI research, stay updated on trends, and experiment with new ideas Develop scalable machine learning models tailored to business problems Build prototypes and validate hypotheses quickly Data & Engineering Work with large, messy datasets: clean, structure, and prepare them for training Build reusable data pipelines and automation scripts Ensure high-quality data inputs for every model Model Deployment & MLOps Deploy models using tools like Docker, Kubernetes, MLFlow, or cloud-native solutions Monitor model performance in production and optimize for continuous improvement Integrate models into existing systems or products Collaboration & Communication Work closely with product, engineering, and leadership teams Translate complex technical concepts into business-friendly language Own documentation and knowledge sharing within the team Must-Have Skills Programming: Proficiency in Python, and libraries like NumPy, Pandas, Scikit-learn Frameworks: Hands-on with TensorFlow or PyTorch Data Handling: Strong skills in data cleaning, preprocessing, and wrangling Modelling: Experience with supervised, unsupervised, and deep learning models MLOps: Familiarity with model versioning, deployment, monitoring Cloud Platforms: Experience with AWS / Azure / GCP Math & Stats: Strong foundation in probability, statistics, and linear algebra Communication: Ability to convey complex ideas clearly and concisely Ownership: Self-starter with the ability to take initiative and lead AI efforts independently Nice to Have Experience working in NLP, computer vision, or generative models Knowledge of distributed training techniques Experience integrating models with frontend/backend systems What You'll Get at Magure Work with a passionate and forward-thinking team Opportunity to lead AI projects from zero to production Freedom to explore and experiment with new technologies Exposure to global clients and diverse problem statements Transparent and supportive company culture Continuous learning, mentorship, and real career growth Ready to be a part of something bigger? We’re building the future — and we want someone who’s ready to help define it. 📩 Apply now to careers@magureinc.com or drop a message if you'd like to know more before applying.
Position: ML/AI Developer Experience: 2+ years Location: Raipur (Hybrid/On-site/ Remote) Overview: We at Magure Softwares are seeking a highly skilled ML/AI Developer who not only excels in building intelligent systems but also owns the complete lifecycle from development to deployment. You’ll be part of a cutting-edge team working on AI-driven solutions, real-time data pipelines, and scalable ML products that make real business impact. We are looking for someone who is not just comfortable with writing models but is also proficient in production-level deployment, versioning, MLOps, and problem-solving through DSA. Key Responsibilities: 1. Development & Model Engineering: Build, train, and optimize machine learning models for various domains. Use techniques such as regression, classification, NLP, deep learning, and RAG (retrieval augmented generation). Implement data structures and algorithmic approaches to optimize model performance. 2. Deployment & MLOps: Deploy ML models on cloud or containerized environments (Azure, AWS, GCP, Azure Container Apps, etc.). Develop CI/CD pipelines using tools like GitHub Actions, Docker, MLflow, and Kubernetes for automated training and deployment. Manage model versioning, logging, rollback, and monitoring. 3. Tooling & Framework Expertise: Work with ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, HuggingFace, LangChain, OpenAI API, and LLaMA Use Azure-based tools like Azure Document Intelligence, Azure AI Search, and Azure OpenAI. 4. Data Management: Automate data ingestion, validation (schema + drift checks), and preprocessing using Python and tools like Great Expectations. Handle structured, semi-structured, and unstructured data from sources like MongoDB, SQL, PDFs, etc. 5. Collaboration & Communication: Collaborate with backend engineers, data scientists, and product managers. Maintain clear documentation and contribute to knowledge-sharing sessions. Provide technical mentorship to junior developers. Required Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or equivalent. 2+ years of experience in building and deploying end-to-end ML solutions. Strong command of Python and ML/DL frameworks (PyTorch, TensorFlow, Sklearn). Hands-on experience with MLOps, CI/CD, containerization, and cloud deployments. Strong understanding of Data Structures & Algorithms (DSA). Familiarity with modern/Traditional AI/LLM applications (e.g., RAG, LLM fine-tuning, chatbot systems). Experience in building microservices or model APIs using FastAPI or Flask. What Will Make You Stand Out: You’ve deployed production-grade ML systems with rollback/version control. You write clean, scalable, and modular code — and understand its lifecycle in the real world. You have experience integrating AI with business tools like email systems, PDF document processing, and real-time analytics. Why Join Magure Softwares? Be part of AI solutions that drive real change. Work in a collaborative, fast-paced, and technically exciting environment. Opportunities to grow as a full-stack ML engineer, not just a data scientist. Competitive compensation, high-impact roles, and a company that values innovation. Apply Now: Send your resume to kirti@magureinc.com
🚀 About the Role Magure is on an exciting growth journey, and we’re looking for a performance-driven Email Marketing & HubSpot Automation Specialist to be a key part of our marketing team. This is not just another email marketing role — as one of Magure’s early marketing hires, you will have the ownership, creative freedom, and influence to shape our lead nurturing, customer engagement, and retention strategies. You’ll be building sophisticated workflows, crafting campaigns that truly connect, and driving measurable impact across the customer journey. If you’re someone who thrives in a dynamic environment and loves turning data + creativity into results, then Magure is where you belong. 🎯 What You’ll Do Email Campaign Management Lead the end-to-end creation, execution, and optimization of email campaigns (newsletters, product updates, nurture flows). Build and manage campaign calendars aligned with product and sales priorities. Write subject lines and content that drive engagement and conversion. Marketing Automation Design and implement advanced HubSpot workflows (welcome series, re-engagement, drip campaigns). Set up lead scoring, lifecycle stages, and contact segmentation for hyper-targeted messaging. Continuously A/B test and optimize workflows for peak performance. CRM & Reporting Ensure HubSpot CRM data integrity and accurate segmentation. Track KPIs (open rates, CTR, conversions, MQL/SQL progression). Build insightful dashboards and share monthly performance reports with stakeholders. Cross-Functional Collaboration Work with product, sales, and design teams to align campaigns with business goals. Support sales enablement with templates, lifecycle triggers, and lead handoffs. Collaborate with design to create visually engaging, on-brand email templates. ✅ What We’re Looking For 2–4 years of hands-on experience in email marketing and HubSpot Marketing Hub (certification a plus). Strong grasp of email best practices, GDPR/consent laws, and deliverability. Experience in segmentation, lead nurturing, and funnel optimization. Data-driven decision-making with strong analytical skills. Excellent communication and copywriting ability. Bonus: Familiarity with HTML/CSS for email formatting. Nice to Have SaaS or B2B tech experience. Knowledge of GA4, CRO, or sales automation tools. Comfort in fast-paced, startup-like environments. 🌟 Why Join Magure? At Magure, we don’t just offer jobs — we offer growth, ownership, and purpose. Here’s why you’ll love being part of our team: Ownership from Day 1: Run the entire email & automation function and bring your ideas to life. Work with the best tools: HubSpot Pro, GA4, and other cutting-edge marketing platforms. Growth-driven culture: A flat hierarchy, quick decision-making, and plenty of space to experiment. Flexibility that fits you: Hybrid/remote options and a supportive work-life balance. A team that feels like family: Inclusive, collaborative, and people-first culture where your work truly matters. ✨ At Magure, we’re building something special — and we’d love for you to be a part of it. 📩 How to Apply If this role excites you, send us your resume and a brief note on why you’d be a great fit for Magure. 👉 Email your application to: careers@magureinc.com (Please include “Application – Email Marketing & HubSpot Specialist” in the subject line.)
Requirements Exp in Hubspot automation enterprise Model experience in email marketing and HubSpot Marketing Hub (certification is a plus). Experience in lead nurturing, segmentation, and marketing funnels. Familiarity with HTML/CSS Work from home