Brand Partnerships Lead

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!

As an Academic Counselor, you will provide essential academic counseling and career guidance to

prospective students, helping them navigate course offerings, admissions requirements, and career

opportunities in the analytics industry. You will be a key part of our admissions team, working closely

with students and their families to drive student enrollments and support student retention.

Key Responsibilities:

 Student Counseling: Provide personalized guidance to prospective students on

BIA’s academic programs, course offerings, fees, curriculum, and prerequisites.

 Admissions Assistance: Guide students through the admission process, including application

submissions, interviews, and document verification to ensure a seamless experience.

 Lead Follow-Up and Conversion: Follow up with potential leads and inquiries, using lead

conversion techniques to drive student enrollments.

 Presentations & Online Counseling: Conduct engaging presentations, online counseling, and

face-to-face meetings to explain the features, benefits, and career opportunities associated

with BIA’s courses.

 Record Maintenance: Maintain accurate records ofstudent counseling sessions,follow-up

actions, and feedback in alignment with data management best practices.

 Career Counseling: Provide career advice on job opportunities, certifications,

and upskilling relevant to the analyticsindustry to help students achieve their professional

goals.

 Collaboration: Work closely with the marketing and admissionsteams to drive enrollments,

meet student intake targets, and achieve organizational goals.

 Industry Awareness: Stay updated on the latest trends in education and analyticsto provide

informed, insightful guidance.

 Relationship Building: Build positive relationships with students, parents, and educational

EKO STAY is a leader in professionally managed vacation homes, offering curated homestay experiences across India. Founded in 2018 by experts in hospitality, the company operates over 150 thoughtfully designed villas across 12 cities. Known for its focus on innovation, customer satisfaction, and sustainable growth, EKO STAY sets benchmarks in alternative accommodations. Guests enjoy a blend of comfort, convenience, and unforgettable experiences with every stay.

Job responsibilities:

* Process orders keeping style and aesthetics in mind

* Make mood boards for new property onboardings.

* Style homes keeping creativity, maintenance and cost at the foresight 

* Source and suggest building material choices for ongoing projects

* Set costs according to budget

* Assess the requirements for each type of space and determine optimal decoration and furniture placement according to their size and use purpose

At https://www.holofy.io/">Holofy,We are building an incredible product and to do that we need incredible people.

If you have ambition and drive and want to own your roadmap in a company that knows how to innovate and scale, we want to talk to you.

We work in small, self-managing, collaborative and agile/Kanban teams and are looking for great technology developers who can work in the same.

Location - Remote/WFH

‍

Pre-requisites:

• Hands on experience in mobile application development for at least 2 to 5 years.
• Hands on working experience in Swift.
• Hands on working experience in Offline storage like CoreData/Realm.
• Experience in multithreaded programming and memory optimization
• Ability to learn and grow in a fast paced setup.
• Working knowledge of iOS Architectural Components and Design Patterns
• Very good debugging skills
• Good knowledge in implementing Pixel Perfect designs
• Good in Data Structures and Algorithms.

Responsibilities:

• Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.
• Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions.
• Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create.
• Implementation of long term technology vision for your team.
• Responsible for complete architecture of your product;
• Creating architectures & designs for new solutions around existing/new areas
• Decide technology & tool choices for your team & be responsible for them.

What else we can offer:

• Limitless growth and encouragement to be innovative and challenge status quo.
• Exceptional compensation & benefits and performance-based recognition & rewards.
• Open door policy and flexible working hours and Medical coverage.

A proficient, independent contributor that assists in technical design, development, implementation, and support of data pipelines; beginning to invest in less-experienced engineers.

Responsibilities:

- Design, Create and maintain on premise and cloud based data integration pipelines. 
- Assemble large, complex data sets that meet functional/non functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data pipelines to enable BI, Analytics and Data Science teams that assist them in building and optimizing their systems
- Assists in the onboarding, training and development of team members.
- Reviews code changes and pull requests for standardization and best practices
- Evolve existing development to be automated, scalable, resilient, self-serve platforms
- Assist the team in the design and requirements gathering for technical and non technical work to drive the direction of projects

Technical & Business Expertise:

-Hands on integration experience in SSIS/Mulesoft
- Hands on experience Azure Synapse
- Proven advanced level of writing database experience in SQL Server
- Proven advanced level of understanding about Data Lake
- Proven intermediate level of writing Python or similar programming language
- Intermediate understanding of Cloud Platforms (GCP) 
- Intermediate understanding of Data Warehousing
- Advanced Understanding of Source Control (Github)

• Working experience on Python or Java Selenium, POM, TestNG, Maven, Web application automation, Eggplant scriptingJIRA, Maven, Eclipse.
• Expertise in automating the manual tasks with Batch - Shell scripting, API framework development, Automation framework migration
• Functional expertise on Eclipse - Java, TestNG,Maven, Web application automation, Senstalk
• Exposure to the applications launched on the Linux platforms.
• The role expects overall strong exp in Web Testing, DB test, and API Test areas.
• Strong knowledge of Scripting and Framework (Selenium Webdriver, Appium and API)

Job description

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Responsibilities:

• Developing all server-side logic, definition, and maintenance of the central database(s), and ensuring high performance and responsiveness to requests from the front-end & Back-end.
• Addressing architectural problems like scalability, availability, etc., and providing solutions for them.
• Developing Database models, APIs, and processes.
• Developing ideas for new programs, products, or features by monitoring industry developments and trends.
• Understand business requirements and translate them into technical requirements.
• Implement user interface components for JavaScript-based web and mobile applications using the React.js open-source library ecosystem.
• Code debugging and performance testing.
• Dealing with clients associated with different projects.
• Developing new user-facing features using React.js.
• Writing reusable, testable, and efficient code.
• Translating designs and wireframes into high-quality code.
• Optimizing components for maximum performance and responsiveness across all devices and browsers.
• Dealing with clients associated with different projects.
• Developing new user-facing features using React.js & Node.js.
• Writing reusable, testable, and efficient code.
• Translating designs and wireframes into high-quality code.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Implement user interface components for JavaScript-based web and mobile applications using the React.js & Node.js open source library ecosystem.
• Code debugging and performance testing.

Required Skills:

• Good Experience with Node.js backend development platforms & MongoDB
• Good Experience with JavaScript frameworks and tools such as React.js, Redux, Amber, Web pack, Enzyme, and Flux.
• Understanding of accessibility and security compliance.
• Handling of Asynchronous tasks in frontend and backend both.
• Good to have experience in creating and using Image APIs.
• Prior experience with deployment on AWS and Heroku servers.
• Have good knowledge of Version Control Tools.
• Experience with RESTful APIs
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Bootstrap, HTML & CSS is a must to know.
• Having an understanding of React.js and its core principles is an added advantage.
• Experience with popular React.js workflows (such as Flux or Redux) is an added advantage
• Experience with handling data structures.
• Experience with React.js frontend development platforms.

What we offer:

• A dynamic and collaborative team.
• Tech start-up environment to develop and shape an ambitious business
• Competitive success-oriented remuneration package

We at Wow Labz are always striving to look for exciting problems to solve. Whether we’re creating new products or helping a small startup extend its reach, we build from our heart. We’re entrepreneurial and we love new ideas. Fun culture with a team that cares about your development and growth.

We are looking for an expert in machine learning to help us extract maximum value from our data. You will be leading all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

• Identify valuable data sources and automate collection processes
• Study and transform data science prototypes
• Research and Implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Extend existing ML libraries and frameworks
• Cross-validate models to ensure their generalizability
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Guide and mentor the respective teams

• Proven experience as a Machine Learning Engineer or similar role
• Demonstrable history of devising and overseeing data-centered projects
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Experience with cloud platforms like AWS/Azure/GCP
• Knowledge of server configurations and maintenance.
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Ability to select hardware to run an ML model with the required latency
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

• Inclination towards Mathematics and statistics to understand the algorithms at a deeper level
• Strong OOPs concepts (python preferable)
• Hands on experience with Flask or Django
• Ability to learn latest deployed models and understand their core architecture to gain breadth of expertise

• You are curious and aware of the latest tech trends
• You are self-driven
• You get a kick out of leading a solution towards its completion.
• You have the capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork
• You are fun to hang out with!