Business Development Executive (Online Bidder)

About the Role

SwitchKart is on a mission to make technology more accessible and more sustainable — we're in the business of recommerce, giving old smartphones a second life, cutting down e-waste, and extending the lifecycle of every device we touch.

We're looking for a Senior Full Stack Developer to help us build and scale the ecosystem of platforms powering this mission — from our procurement app to our retailer app, pricing engines, and warranty systems. You'll take ownership of complex features end-to-end, mentor junior engineers, and make architectural decisions that shape how we grow.

What You'll Do

• Own Features End-to-End: Design, build, and ship full stack features across our procurement, retailer, pricing, and warranty platforms — from database schema to UI polish.

• Drive Architecture: Make key technical decisions on system design, scalability, and code structure as our ecosystem of apps grows.

• Build AI-First: Design and build systems with AI at the core — not bolted on. Think about where AI can automate, assist, or enhance the products you're building from day one.

• Build Scalable Architecture: Build and monitor a highly performant, failure-resistant platform — we take pride in doing this with a small, high-ownership team.

• Automate and Integrate: Develop tools that automate our integration processes and build data pipelines across our app ecosystem.

• Foster Technical Excellence: Champion unit and integration testing and lead meaningful code reviews across the team.

• Prototype and Validate: Create interactive prototypes to prove out technical concepts and participate in pilots for new initiatives.

• Mentor the Team: Guide junior developers through code reviews, pairing, and technical direction.

• Report Upward: Provide regular updates to management on milestones, risks, issues, and mitigation plans.

• Collaborate Cross-Functionally: Work closely with product and design to translate requirements into robust technical solutions across multiple products.

What We're Looking For

Must Have

• 4+ years of full stack development experience

• Strong proficiency in React and Node.js

• Solid experience with PostgreSQL or MySQL — schema design, query optimisation

• Experience designing and scaling production systems

• Experience deploying and managing applications on a cloud platform (AWS/GCP or similar)

• Comfortable owning a feature from concept to deployment

• Strong debugging and problem-solving skills

Good to Have

• Experience mentoring or leading junior engineers

• Track record of driving scalability and time-to-market in past cloud architecture decisions

• Exposure to CI/CD pipelines

• Experience with Docker, NoSQL databases, or distributed caching

• Experience integrating third-party REST/SOAP APIs

• Experience in a fast-moving startup environment

Why SwitchKart

• Real ownership over architecture and technical direction.

• Access to the latest AI coding agents and tools — we invest in keeping our engineers on the cutting edge.

• Work on a genuinely differentiated business with measurable impact.

• Be part of a lean team where your decisions shape the product.

• Opportunity to mentor and grow the engineering team.

Senior Generative AI Engineer

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

1. Handling large-scale structured & unstructured datasets.
2. Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
3. Feature engineering and data augmentation techniques.

4.      NLP & Computer Vision

1. NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
2. CV: Image generation using GANs, VAEs, Stable Diffusion.
3. Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
4. Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
5. Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
6. 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

1. Model compression (quantization, pruning, distillation).
2. Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
3. Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
4. API integration with front-end applications.

6.      AI Ethics & Responsible AI

1. Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).

7.      Mathematics & Statistics

1. 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!

Digital Marketing Intern

AXS Solutions and Consulting Pvt Ltd.

We are looking for an enthusiastic marketing intern to join our marketing department and provide creative ideas to help achieve our goals. You will have administrative duties in developing and implementing marketing strategies.

As a marketing intern, you will collaborate with our Sales and Business Development team in all stages of marketing campaigns. Your insightful contribution will help develop, expand and maintain our marketing channels.

This internship will help you acquire marketing skills and provide you with knowledge of various marketing strategies. Ultimately, you will gain broad experience in marketing and should be prepared to enter any fast paced work environment.

Job Responsibilities

• The Social Media & Digital Marketing Intern is responsible for assisting the Digital Marketing Manager in implementing AXS’s overall communications and marketing plan --focusing specifically on digital communications --to build awareness about AXS within the community, and to increase lead generation and sales.
• Develop and implement a comprehensive marketing plan to include social media, (Facebook, Twitter, Instagram, Linkedin and YouTube)
• Create, manage and implement all email marketing campaigns
• Expand and maintain customer email database
• Write and distribute regularly weekly online newsletters
• Develop new partnerships and maintain strong industry relationships.
• Develop and implement a comprehensive social media marketing plan in association with the team.
• Manage and update Linkedin, Facebook pages and websites (including corporate websites).
• Enhance social media outlets and opportunities to maintain communication and build fan base.
• Track and analyze website and social media performance.
• Work with team to refine social media strategy and best practices
• Assist in managing social media channels (Facebook, Twitter, Pinterest, Instagram, Flickr,YouTube) and editorial calendar to ensure content is timely, relevant, and engaging
• Draft Weekly-newsletters to subscribers
• Prepare weekly updates and reports to track growth and success rates of campaigns
• Keep up to date and informed on new social media trends and adapt accordingly
• Ensure proper messaging is being executed online
• Identify leaders and influencers (internal/external) and engage them in brand activities
• Assist with website copywriting, proofing, and updating as needed

QUALIFICATIONS

• Ability to take initiative, employ good judgment, and manage projects from beginning to end
• Excellent writing, editing, and proofreading skills
• Exceptional ability to manage details
• Ability to multitask in a fast-paced environment
• Ability to meet deadlines and to anticipate next steps or needs
• Work effectively both independently and as part of a team
• Be available for at least 30 hours a week
• A bachelor’s degree (or currently enrolled student) in the liberal arts or equivalent work experience
• Understands and can utilize emerging platforms, digital media, and web/social media management and measurement tools(e.g. Hootsuite, Google Analytics)
• Adobe Creative Suite experience a plus
• Strong working knowledge of email marketing applications

BENEFITS

• Experience in marketing and communications, relationship management, and other aspects of community relations, marketing, and the film industry
• Opportunity for permanent employment

DURATION

• 6 months

STIPEND : 7 - 8k per month.

OLX India is a leading classifieds platform, boasting over 100+ million app downloads across diverse categories, including cars, bikes, real estate, and electronics.

Consumers and dealers come to OLX India, India’s largest online classifieds platform, to buy and sell used and new products. OLX India operates in over 10 categories across India. These main categories include Auto, Real estate, Mobiles/Electronics, Furniture, etc. Sellers can list multiple products and upload their advertisements, including pictures, titles, descriptions, and expected sales prices. Buyers can browse through the listings, contact sellers directly, negotiate, and then purchase items from the seller. The platform connects millions of buyers and sellers, thus enabling safe and easy trade.

We are seeking a highly motivated and detail-oriented Assistant Manager Product Analyst to join our dynamic team. The ideal candidate will have a strong analytical mindset, excellent communication skills, and a passion for driving data-driven decision-making in the product development process. As a AM-Product Analyst, you will play a crucial role in gathering and analyzing data to provide insights that inform product strategy, enhance user experience, and contribute to the overall success of our products.

What You’ll do :

● Analyze large datasets to extract meaningful insights and trends related to user behavior, product performance, and market dynamics.

● Develop and maintain key performance indicators (KPIs) to measure product success and user engagement.

● Develop and execute A/B testing and other experiments to measure the impact of product changes.

Collaboration:

● Collaborate with cross-functional teams, including product management, engineering, marketing, and customer support, to ensure alignment on product goals and strategies.

Who are we looking for?

● Bachelor’s degree in a related field (e.g., Business, Statistics, Computer Science) or equivalent work experience.

● 3+ years experience in Product analytics experience

● B. Tech/ M. Tech from a premier institute (IIT/NIT/BITS )

● Proven experience as a Product Analyst or in a similar role, with a track record of successfully influencing product decisions through data analysis.

● Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R) and experience with tools (e.g., GA, Clevertap & Tableau).

● Excellent communication and presentation skills with the ability to convey complex data findings to both technical and non-technical stakeholders.

● Familiarity with product management methodologies and a deep understanding of the product development lifecycle.

● Detail-oriented with a strong analytical mindset and problem-solving skills.

● Ability to thrive in a fast-paced, collaborative environment.

What We'll give you

● An opportunity to shape a largely unorganised industry and help millions of car buyers and sellers transact with trust and efficiency.

● Passionate team and leadership colleagues who will share the dream and drive to deliver the most trusted, convenient and innovative car buying and selling experiences.

● Opportunities to speed up your learning and development across your role relevant areas .

At OLX, we are committed to creating a diverse, inclusive, and authentic workplace. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, religions, backgrounds, and experiences to apply.

Reviewing resumes and applications

Conducting initial telephonic screenings and scheduling interviews

Managing the end-to-end recruitment process

Sourcing candidates through job portals and social media

Client coordination and relationship management

Negotiation and candidate engagement throughout the hiring cycle

Compensation & Benefits:

Competitive salary based on experience and interview performance

Provident Fund, Medical & Accident Insurance

24 days of annual paid leave

Performance-based incentives