Engineering Manager

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!

Job Description:-

In this role, you will be an integral part of our team responsible for developing and maintaining new applications that support assessment systems. This is a unique opportunity to contribute to an important regional initiative.

Role Responsibilities:

Analysis and Design: Collaborate with stakeholders and the Application Systems team to deeply understand application requirements. Develop technical design documents following business standards.

Programming and Testing: Actively engage in application programming to meet business requirements. Conduct unit testing and assist in functional, load, and user acceptance testing when needed.

Project Review and Enhancement: Review ongoing projects and provide valuable recommendations for improvement. Be open to assisting in related tasks as directed by the line Manager.

The Successful Applicant

To excel in this role, you should possess the following qualifications and skills:

Java Expertise: Strong experience in Java Application Design, Coding, and Implementation.

Front-End Development: Excellent skills in front-end development using Angular 10, Bootstrap, and Typescript.

Technology Stack: Proficiency in Java, Spring Suite, Hibernate, PostgreSQL, Docker, Kubernetes, Rest APIs, and Micro-services is highly desirable.

Agile Methodologies: Familiarity with Agile development methodologies, including refactoring, TDD, and continuous integration.

Client Interaction: Exceptional client-facing and presentation capabilities.

Team Collaboration: Ability to work effectively both autonomously and within a team.

If you are a skilled Full-stack developer passionate about creating innovative solutions and meet the above-mentioned qualifications, we invite you to apply for this exciting opportunity.

To apply, please submit your resume and a cover letter detailing your relevant experience and why you believe you fit this position.

Reporting and Business Intelligence

Minimum of 8 to 10 years of experience in Report building and Business Intelligence with

Profound knowledge on Oracle BI Publisher and BI Analytics with Oracle Fusion HCM domain especially in Core HR, Payroll and Absences modules

Primary skill:

• Experience generating BI publisher reports, dashboards and drill-down reports
• BI Publisher (RTF design/ eText/ Scheduling/ Parameter Handling/Bursting/backup and migration of reports to different pods)
• Design Oracle BI Publisher Data Models, Data sets and Templates/sub-templates
• Strong PL/SQL and Advanced PL/SQL experience
• Solid understanding of performance tuning best practices and experience improving end-to-end processing times
• Knowledge on the data models related to Fusion HCM (Core HR, Absence and Payroll modules)

Nice to have skills:

• Experience generating BI publisher reports, dashboards and drill-down reports
• Strong OBI Administrator activity
• Create mobile applications with Oracle Business Intelligence Mobile App Designer
• Use BI Mobile to access BI Content
• Create and modify Interactive Dashboards
• Knowledge of additional reporting tools viz. HCM Extract / OTBI / Analysis Dashboard would be an added advantage

Behavioural and Process Skills

• Experience working in Agile teams
• Self-motivated and self-directed abilities to prioritize and execute tasks in a high-pressure environment with "time-critical" deadlines
• Proven analytical, evaluative, and problem-solving abilities
• Possesses a team and customer service provision orientation

Job Description:

•          The resource needs to have experience of working in Exalogic admin activities and Oracle products (Oracle Banking Platform, Exalogic & Weblogic).
•          Technical role where he/she has to work on day to day assigned tasks
•          Schedules and organizes work assignments and help out in managing client's demands to ensure their satisfaction.

 
Preferred Skills:

•          Few of the activities are listed below
•          Operational Support for 3 Exalogic Racks with
•          Exalogic Infrastructure  patching/upgrade  (Compute Node, ILOM, Control Stack, IB Switch, ZFS Storage)
•          140+ VM’s  spreading across DEV/QV/PROD/DR/IT to support along with WebLogic
•          OEM12c/13c is used to monitor Exalogic machines
•          Platinum support  patching 2 times per year
•          Exalogic ZFS storage management & advisory for optimization