Business Development Executive Intern

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!

• Build our digital marketing roadmap
• Manage all digital marketing channels (e.g. website, blogs, emails and social media) to ensure brand consistency
• Measure ROI and KPIs and prepare budget
• Develop specific campaigns to create and maintain high levels of customer interaction
• Oversee our social media accounts
• Manage and improve online content, considering SEO and Google Analytics
• Forecast sales performance trends and act proactively to increase our market segment
• Liaise with Product, Design and Sales directors to increase client satisfaction through cohesive strategies
• Motivate digital marketing team to achieve goals
• Monitor competition and provide ideas to stand out
• Stay up-to-date with digital technology developments

Vidyakul is looking for a Senior Android Developer to take our product to the next level for Pan India State Board students (A 60mn user opportunity!). We are willing to offer the right pay, and more importantly the right ESOPs for the right candidate! 

* Knowledge of Android SDK, different versions of Android
* Familiarity with RESTful APIs to connect mobile applications to back-end services

* Should have hands-on knowledge of Kotlin
* Should have the understanding of working on Firebase & Firebase real-time database
* Experience with third-party libraries like Retrofit2 and APIs
* Experience with offline storage, threading, and performance tuning

Job Description / Roles & Responsibilities (in Detail)Job Description

Work with Architect to define Application, Integration and Security Design for various components involved.

Design, development and build of java solution components/modules and integrations

Hands on knowledge in technology areas like Core Java, Java 8, Web services (SOAP and REST), Spring boot, Spring Frameworks, Spring Data JPA, REST/SOAP services, Spring cloud, Spring MVC, JSON & XML based processing. Strong command on Java/J2EE & OOPs concepts and current industry trends. Working knowledge of Java 8, 11 new features.

Working knowledge of cloud based server less application development on any of cloud platforms like AWS/Azure/GCP. Candidate with experience in Cloud native application development experience will be preferred.

Working knowledge in any of the databases like Mongo DB/Oracle/MySQL/SQL Server.

Working knowledge in any of messaging platforms like Apache Kafka/Rabbit MQ/JMS/AWS SQS/Azure Event Hub/Service Bus.

Production implementation experience for large enterprise applications using Java/J2EE will be preferred.

Experience in implementing Web services Security using WS-Security, SAML, OAUTH2, Kerberos and integrating with Identity providers, LDAP and ADFS. Experience working with credential vaults will be add-on.

Strong knowledge on design and integration patterns especially in applications involving Portals/SSO, legacy applications, B2B Applications, external partners using enterprise service bus.

Well versed with ensuring coding standards, DevOps CICD implementations, version management, branching strategy, security principles.

Ensure code quality and standards are followed. Experience in test automation is plus.

Up-to-date technical knowledge by attending educational workshops, reviewing publications

• Smooth onboarding of fellows post recruitment
• Understanding the pre-existing technical and other skills as well as improvement needs in each area throughout training and deployment
• Weekly monitoring of progress as well as key strength and improvement area of each fellow
• Planning remediation in consultation with training head and trainers, weekly/ daily check ins and query resolution to sustain high level of motivation
• Monitoring and taking steps towards maintaining high performance standards post deployment
• Implementing upskilling learning and development initiatives based on individual fellow requirement and ensuring consistent appraisal and manager satisfaction
• Continuously monitoring and improving the Fellows’ performance during training and on-site, as well as analyzing client feedback, upskilling needs, retention and billability

Desired Candidate Profile

• Minimum 10+ years’ experience in managing technical talent in either talent management or technical manager roles
• Training experience desirable
• Awareness of job role skill and capability requirement for data engineer or similar technical job role
• Experience in performance management and employment relations
• Strong coaching and mentoring capabilities
• High data-driven and process oriented mindset
• Strong interpersonal and communication skills
• Excellent relationship building skills
• Ability to influence and persuade and manage difficult conversations
• High levels of confidentiality

Qrata is hiring for a Venture funded company that is backed by marquee investors. Founded in

2020, the product provides a collaborative new way for SaaS companies to onboard their

large customers. Their unified workspace aims to help streamline customer onboarding and

implementation journeys, and get every customer off to a great start.

Role: Senior frontend lead

Description: Are you a front-end developer looking to fast-track your learning and growth? Have you looked at world class products like Asana, Notion, or Airtable, and felt “I wish I were part of the early team that built these products”?

They are a team that has previously built and rolled out globally successful SaaS

products used by tens of thousands of customers. They're laser focused on delivering a world

class new product again, and looking for an ambitious front-end engineer to join our existing

team of 9 engineers.

If it excites you to think of a fast paced start-up environment, building something big from

scratch, breaking down new problems, creating well structured UI components, executing on

pixel perfect design, paying great attention to every little interaction detail, and doing demos

of your work every Friday with a happy and passionate team, then this is the right

opportunity for you.

Some of the tech problems you get to work-on as a front-end developer would include

building real-time collaboration experiences across their product, building live document

editing and modern spreadsheet experiences from scratch, creating flexible new Kanban-style views of work tasks, and crafting cool new UI components and interactions that we will use across our product.

Tech Requirements:

● Expertise in React

● Hands-on experience in HTML, CSS, SASS & Object Oriented Javascript

● Code audits and guidelines

● SPA Framework patterns

● Browser features (Caching / Storage / Compatibility etc )

● Test automation

● Deployment strategy

Nice to have:

● Familiarity with AWS

● Experience with startups or early stage teams

● Typescript

● Knowledge of module bundlers like Webpack