
Marketing Executive
Job Overview:
We are looking for an experienced, proactive, and self-driven Marketing Executive who can independently manage and execute the overall marketing function. This role requires a strong understanding of both traditional and digital marketing, combined with the ability to plan, implement, and monitor marketing activities end-to-end.
The ideal candidate will take full ownership of marketing initiatives, coordinate with internal teams, and drive brand visibility, lead generation, and marketing performance with minimal supervision.
Key Responsibilities:
1. Marketing Strategy & Execution (Core Responsibility)
• Develop and execute quarterly and annual marketing plans.
• Plan and implement campaigns for product promotion, lead generation, and brand building.
• Ensure consistent branding and messaging across all channels.
• Collaborate with sales, product, and leadership teams to align marketing initiatives with business goals.
2. Digital Marketing (Part of the Role)
PPC & Lead Generation
• Plan, manage, and optimise Google Ads and other paid campaigns.
• Track performance metrics (CTR, CPC, CPA, conversions, ROI) and refine campaigns.
• Develop effective ad copies and assist with landing page enhancements.
SEO & Website Management
• Implement on-page/off-page SEO strategies to improve organic search visibility.
• Conduct keyword research, optimise content, and review analytics.
• Coordinate with design/content teams to ensure SEO standards are met.
3. Brand, Content & Communication
• Oversee the creation of marketing content — blogs, emails, social posts, brochures, case studies, videos, and presentations.
• Maintain brand guidelines and ensure cohesive communication across the organisation.
• Work with internal and external creative teams for design and content execution.
4. Exhibitions, Events & Offline Marketing
• Lead planning and execution of marketing for exhibitions and trade shows.
• Support stall layout planning, branding materials, and event promotions.
• Manage lead handling and coordination before, during, and after events.
5. Lead Management & CRM Collaboration
• Ensure prompt assignment of incoming leads to the respective territory managers.
• Track lead flow, progress, and campaign effectiveness.
• Work closely with the sales team to improve follow-up quality and conversion tracking.
6. Market Research & Data Management
• Conduct competitive research, pricing insights, and industry analysis.
• Prepare scraping data and market intelligence reports.
• Support management with MIS and performance dashboards.
7. Performance Analysis & Reporting
• Monitor marketing KPIs across both digital and offline activities.
• Prepare regular performance reports with insights and improvement suggestions.
• Conduct A/B tests and track results for continuous optimisation.
Requirements:
• Excellent communication, planning, and coordination skills.
• 3–5+ years of experience in a marketing role (preferably B2B).
• Strong understanding of digital marketing (PPC, SEO, analytics).
• Ability to independently manage marketing activities with high ownership.
• Proficiency in tools: Google Ads, Analytics, Search Console, MS Office, CRM systems.
• Understanding of website platforms (WordPress, CMS tools).
• Ability to manage multiple projects and meet deadlines.
Desirable Skills:
• Experience with LinkedIn, Facebook, and Instagram marketing.
• Knowledge of email marketing tools or automation platforms.
• Creative thinking and copywriting ability.
• Google certifications are an added advantage.

About Hunarstreet Technologies Pvt Ltd
About
At Hunarstreet Technologies Pvt Ltd, we specialize in delivering India’s fastest hiring solutions, tailored to meet the unique needs of businesses across various industries. Our mission is to connect companies with exceptional talent, enabling them to achieve their growth and operational goals swiftly and efficiently.
We are able to achieve a success rate of 87% in relevancy of candidates to the job position and 62% success rate in closing positions shared with us.
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Job Id: QX016
About Us:
The QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them.
Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.
Job Summary:
We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions.
Responsibilities:
· Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics
· Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers).
· Handle data preprocessing, augmentation, and synthetic data generation.
· Work with NLP, text generation, and contextual comprehension tasks.
· Develop backend services using Python or .NET for LLM-powered applications.
· Build and deploy AI applications on cloud platforms (Azure, AWS, GCP).
· Optimize AI pipelines and ensure scalability.
· Stay updated with advancements in AI and ML.
Skills & Requirements:
- Strong knowledge of machine learning, deep learning, and NLP.
- Proficiency in Python, TensorFlow, PyTorch, and Keras.
- Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment.
- Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG).
- Ability to work independently and as part of a team.
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
- 6+ years of experience in Gen AI, or related roles.
- Experience with AI/ML model integration into data pipelines.
Core Competencies for Generative AI Engineers:
1. Programming & Software Development
a. Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.
b. LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.
c. API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.
d. Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing.
2. Vector Database & Cloud AI Solutions
a. Pinecone, FAISS, ChromaDB, Neo4j
b. Azure Redis/ Cognitive Search
c. Azure OpenAI Service
d. Azure ML Studio Models
e. AWS (Relevant Services)
3. Data Engineering & Processing
- Handling large-scale structured & unstructured datasets.
- Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
- Feature engineering and data augmentation techniques.
4. NLP & Computer Vision
- NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
- CV: Image generation using GANs, VAEs, Stable Diffusion.
- Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
- Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
- Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
- Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.
5. Model Deployment & Optimization
- Model compression (quantization, pruning, distillation).
- Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
- Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
- API integration with front-end applications.
6. AI Ethics & Responsible AI
- Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).
7. Mathematics & Statistics
- Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).
8. Machine Learning & Deep Learning
a. Expertise in supervised, unsupervised, and reinforcement learning.
a. Proficiency in TensorFlow, PyTorch, and JAX.
b. Experience with Transformers, GANs, VAEs, Diffusion Models, and LLMs (GPT, BERT, T5).
Personal Attributes:
- Strong problem-solving skills with a passion for data architecture.
- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Highly collaborative, capable of working with cross-functional teams.
- Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.
Why Join Us?
- Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
- Work on impactful projects that make a difference across industries.
- Opportunities for professional growth and continuous learning.
- Competitive salary and benefits package.
Ready to make an impact? Apply today and become part of the QX impact team!
Job Title: Linux Project Administrator (RHEL)
Experience: 8-12 Years
Location: Pan India
Open Positions: 1
Role Overview
We are looking for an experienced RHEL Linux Administrator to manage and support enterprise Linux environments. The candidate should have strong hands-on expertise in system administration, patch management, automation, and performance tuning. This role requires proactive monitoring, troubleshooting, and ensuring high availability of Linux platforms.
Must-Have Technical Skills
1. Red Hat Enterprise Linux (RHEL) & Solaris – In-depth Knowledge
Strong understanding of Linux system internals, kernel tuning, boot process, file systems, and performance monitoring. Ability to analyze logs and troubleshoot complex OS-level issues.
2. Patching Using Red Hat Satellite
Hands-on experience in managing repositories, content views, lifecycle environments, and performing patching activities through Satellite. Knowledge of repo sync and package management processes.
3. Ansible Automation
Experience in creating and executing Ansible playbooks for configuration management, patching, and user management. Ability to perform pre- and post-validation checks and automate routine administrative tasks.
4. Scripting Knowledge
Proficiency in Shell scripting or similar scripting languages to automate system administration tasks and operational processes.
5. Performance Monitoring & System Optimization
Experience in identifying performance bottlenecks and implementing tuning measures to ensure system stability and efficiency.
Good-to-Have Skills
1. GitHub / Subversion / TeamCity
Working knowledge of version control systems and CI/CD tools for automation and deployment workflows.
2. NFS & CIFS
Experience in configuring and troubleshooting network file systems and shared storage environments.
3. Networking, Storage & Virtualization
Good understanding of networking layers, storage concepts, database connectivity, and virtualization platforms.
4. AWX
Exposure to AWX for managing and scheduling Ansible automation workflows.
5. CI/CD & Automation Concepts
Understanding of automation frameworks, pipeline concepts, and DevOps practices.
Key Responsibilities
- Ensure all tickets are addressed and updated within SLA in the ticketing tool.
- Participate in team rotation and support activities.
- Maintain Linux platforms in a highly available, secure, reliable, and performant state.
- Identify performance improvement opportunities and implement enhancements.
- Provide technical support to application and development teams.
Responsibilities:
• Help define and create Backend architecture and deployment using Python- Django-AWS in an agile environment with lots of ownership and active mentoring
• Work with the Product and Design teams to build new features to solve business problems and fill business needs
• Participate in code reviews to create robust and maintainable code
• Work in an agile environment where quick iterations and good feedback are a way of life
• Interact with other stakeholders for requirement, design discussions and for adoption of new features • Communicate and coordinate with our support and professional services teams to solve customer issues
• Help scale our platform as we expand our product across various markets and verticals globally
As a young, fresh startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise.
We are looking for a skilled Backend Developer with strong experience in building, scaling, and optimizing server-side systems. The ideal candidate is proficient in Node.js, FastAPI (Python), and database design, with hands-on experience in cloud infrastructure on AWS or GCP.
Responsibilities:
Design, develop, and maintain scalable backend services and APIs using Node.js and FastAPI
Build robust data models and optimize performance for SQL and NoSQL databases
Architect and deploy backend services on GCP/AWS, leveraging managed cloud services.
Implement clean, modular, and testable code with proper CI/CD and observability (logs, metrics, alerts)
Ensure system reliability, security, and high availability for production environments
Requirements:
2–5 years of backend development experience
Strong proficiency in Node.js, FastAPI, REST APIs, and microservice architecture
Solid understanding of PostgreSQL/MySQL, MongoDB/Redis or similar NoSQL systems
Hands-on experience with AWS or GCP, Docker, and modern DevOps workflows
Experience with caching, queueing, authentication, and API performance optimization
Good to Have:
Experience with event-driven architecture, WebSockets, or serverless functions
Familiarity with Kubernetes or Terraform
Job Location: Gurugram, Haryana, India
Industry: Artificial Intelligence
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including talent and succession planning.
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teams
technology standards, principles, architecture roadmaps,
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Good communication & people managerial skills
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where individuals take ownership and focus on delivering
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1.1. Implement next generation intelligent data platform solutions that help build high performance distributed systems.
1.2. Proactively diagnose problems and envisage long term life of the product focusing on reusable, extensible components.
1.3. Ensure agile delivery processes.
1.4. Work collaboratively with stake holders including product and engineering teams.
1.5. Build best-practices in the engineering team.
2. PRIMARY SKILL REQUIRED
2.1. Having a 2-6 years of core software product development experience.
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Python, Scala)
2.3. Experience in building infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data
sources to support other teams to run pipelines/jobs/reports etc.
2.4. Experience in Open-source stack
2.5. Experiences of working with RDBMS databases, NoSQL Databases
2.6. Knowledge of enterprise data lakes, data analytics, reporting, in-memory data handling, etc.
2.7. Have core computer science academic background
2.8. Aspire to continue to pursue career in technical stream
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3.3. Understanding of Cloud Platform: AWS, Azure, GCP, etc.
3.4. Experience in BFSI domain is a plus.
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4.1. A Startup mentality: comfort with ambiguity, a willingness to test, learn and improve rapidl
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2. creative thinking
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5. Basic content writing
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The idea is simple, if you can commit to an internship that uses your skills and teaches you more, while you have fun... apply, and let us take from there!
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- Candidates from financial background or experience in financial content writing - articles, blogs and from financial news candidates/financial writing companies.








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