Digital Marketing Internship

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!

We are seeking a motivated and skilled Technical Trainer to deliver effective training programs on technical subjects to students or employees, ensuring clear understanding and practical skill development. The trainer will design training content, conduct engaging sessions, and evaluate learner progress to enhance technical competency aligned with industry standards

About Company:

The Organisation transform individuals and teams through holistic, heart-centric and engaging learning experiences that unleash their true potential and help organizations achieve business outcomes. We create customized, strong impact training programs that are conceptualized, designed and delivered by a core team of senior professionals.

Role & Responsibilities:

     ​

1.   Looking for someone who can think creatively about packaging marketing messages and is passionate about the brand. Experience in a marketing, communications or internal communications role with a marketing mindset is expected. The candidate will handle our communication portfolio, hence good problem solving, writing, administrative and PR skills are a must.
2.  Experienced into Lead Generation, Marketing, Advertising, Social Media Marketing, Digital Advertising, Database Generation,B2B Sales.
3. Plan, organize, and implement market survey to obtain data that provides insight to market trends and consumer requirements
4. Interpret data obtained from market research/survey to produce results useful in taking effective business decisions
5. Carry out demographic surveys to identify potential customers
6. Contact potential customers through emails, calls, and home visits to create product/service awareness
7. Employ knowledge of company goals in carrying out marketing operations
8. Establish good working relationships and rapport with clients to ensure continued patronage and minimal consumer attrition
9. Support marketing managers in the development of pricing strategies to set suitable prices for products.

Requirements

1.       Excellent written and oral communication skills and detail-oriented

2.       Very good planning & project management skills

3.       Experience in creating digital ads, video, and static across social media platforms such as LinkedIn, Facebook, YouTube, WhatsApp, e-mail, and display

4.       Capable of managing a team & work independently with external vendors

Hi Kirti,

Job Title: Data Analytics Engineer

Experience: 3 to 6 years

 Location: Gurgaon (Hybrid)

Employment Type: Full-time

Job Description: 

We are seeking a highly skilled Data Analytics Engineer with expertise in Qlik Replicate, Qlik Compose, and Data Warehousing to build and maintain robust data pipelines. The ideal candidate will have hands-on experience with Change Data Capture (CDC) pipelines from various sources, an understanding of Bronze, Silver, and Gold data layers, SQL querying for data warehouses like Amazon Redshift, and experience with Data Lakes using S3. A foundational understanding of Apache Parquet and Python is also desirable. 

Key Responsibilities: 

1. Data Pipeline Development & Maintenance 

• Design, develop, and maintain ETL/ELT pipelines using Qlik Replicate and Qlik Compose. 
• Ensure seamless data replication and transformation across multiple systems. 
• Implement and optimize CDC-based data pipelines from various source systems. 

2. Data Layering & Warehouse Management 

• Implement Bronze, Silver, and Gold layer architectures to optimize data workflows. 
• Design and manage data pipelines for structured and unstructured data. 
• Ensure data integrity and quality within Redshift and other analytical data stores. 

3. Database Management & SQL Development 

• Write, optimize, and troubleshoot complex SQL queries for data warehouses like Redshift. 
• Design and implement data models that support business intelligence and analytics use cases. 

4. Data Lakes & Storage Optimization 

• Work with AWS S3-based Data Lakes to store and manage large-scale datasets. 
• Optimize data ingestion and retrieval using Apache Parquet. 

5. Data Integration & Automation 

• Integrate diverse data sources into a centralized analytics platform. 
• Automate workflows to improve efficiency and reduce manual effort. 
• Leverage Python for scripting, automation, and data manipulation where necessary. 

6. Performance Optimization & Monitoring 

• Monitor data pipelines for failures and implement recovery strategies. 
• Optimize data flows for better performance, scalability, and cost-effectiveness. 
• Troubleshoot and resolve ETL and data replication issues proactively. 

Technical Expertise Required: 

• 3 to 6 years of experience in Data Engineering, ETL Development, or related roles. 
• Hands-on experience with Qlik Replicate & Qlik Compose for data integration. 
• Strong SQL expertise, with experience in writing and optimizing queries for Redshift. 
• Experience working with Bronze, Silver, and Gold layer architectures. 
• Knowledge of Change Data Capture (CDC) pipelines from multiple sources. 
• Experience working with AWS S3 Data Lakes. 
• Experience working with Apache Parquet for data storage optimization. 
• Basic understanding of Python for automation and data processing. 
• Experience in cloud-based data architectures (AWS, Azure, GCP) is a plus. 
• Strong analytical and problem-solving skills. 
• Ability to work in a fast-paced, agile environment. 

Preferred Qualifications: 

• Experience in performance tuning and cost optimization in Redshift. 
• Familiarity with big data technologies such as Spark or Hadoop. 
• Understanding of data governance and security best practices. 
• Exposure to data visualization tools such as Qlik Sense, Tableau, or Power BI. 

Overview: 

We are seeking an experienced Spring Boot developer with a passion for esports to join our team. The ideal candidate will have a strong track record of building and maintaining web applications using Spring Boot and a proven ability to work effectively in a team environment. Experience in the esports industry is a plus. 

Responsibilities: 

• Develop and maintain web applications using Spring Boot and related technologies 
• Write clean, maintainable, and efficient code 
• Collaborate with the design and product management teams to implement new features and functionality 
• Work with the DevOps team to ensure proper deployment and monitoring of applications 

• Troubleshoot and debug issues as they arise 
• Write and maintain comprehensive documentation 

Requirements: 

• Strong professional experience with Java and Spring Boot 
• Experience with building and deploying web applications 

• Familiarity with web development frameworks such as Spring MVC or Spring WebFlux 
• Experience with Git and version control 
• Strong problem-solving and communication skills 

Preferred: 

• Experience in the esports industry 

• Experience with cloud technologies such as AWS or Azure 
• Familiarity with front-end development technologies such as HTML, CSS, and JavaScript 
• Experience with data persistence technologies such as Hibernate or JPA 
• Experience with testing frameworks such as JUnit or Mockito 

This Social Media Executive is suited for someone with an entrepreneurial spirit and wants to get a first-hand experience in various things that happen in a new organization. A candidate that doesn’t mind about living any challenging experience by owning it to self.

Candidate will be given responsibilities of supporting (including but not limited to) social media strategy planning, online advertising, promotions, & Ad-Campaigns. He/she will monitor and create aggressive marketing on Instagram & Facebook and create engaging content for blogs, forums and other social networks like Facebook, Twitter, Instagram, LinkedIn, Quora, Pinterest, etc.

He/she will optimize our website, blogs and social media content for maximum reach and impact (e.g. SEO/SEM) by using keyword analysis and cost/benefit analysis. They will develop a content calendar on a weekly and monthly basis.

Our company’s culture is unique in that we truly live by our values of friends first, integrity and doing the right thing.

Our client is a disruptive performance marketing agency with a data-driven approach adding impetus to its client's growth. The agency has developed two proprietary tools that enables them to execute large scale marketing campaigns. Atomated media buying, centralized data tracking, business intelligence reports and personalized ads are the major services offered to the clients.

➢ Degree from top engineering college, or equivalent technical background is preferred
➢ Be a self-starter who thrives in a rapidly growing organization
➢ Agility and ability to adapt quickly to changing requirements and scope and priorities
➢ 2-4 years of industry experience in iOS Mobile Application design and development, with minimum 2 app deployed in App Store
➢ A deep familiarity with Swift. Experience working with iOS frameworks such as Maps, core Location, core Bluetooth and Core Animation
➢ Strong UX/UI design exposure and experience in making apps work intuitively
➢ Ability to identify issues and improve application performance
➢ Experience in usage of instruments to detect memory leaks for performance optimization
➢ Develop unit and functional test cases
➢ Familiar with the following – Git repository, Restful API, MVC, MVP, MVVM
➢ Strong CS fundamentals (with competencies in algorithms and data structures). Highly accountable and takes ownership, with collaborative attitude, and a lifelong learner.
➢ Experience with third-party libraries and APIs Solid understanding of the full mobile development life cycle