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 analyticsDesign, 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.Bachelors 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 Developmenta. 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 Solutionsa. Pinecone, FAISS, ChromaDB, Neo4jb. Azure Redis/ Cognitive Searchc. Azure OpenAI Serviced. Azure ML Studio Modelse. AWS (Relevant Services)3. Data Engineering & ProcessingHandling large-scale structured & unstructured datasets.Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.Feature engineering and data augmentation techniques.NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).CV: Image generation using GANs, VAEs, Stable Diffusion.Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.Model compression (quantization, pruning, distillation).Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).API integration with front-end applications.Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).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 Summary: We are seeking a creative, collaborative, adaptable Data Visualization Specialist to join our agile team of highly skilled data scientists, data engineers, and UX developers. The Data Visualization Specialist is responsible for turning abstract information from data analyses into appealing and understandable visualizations that improve business insights from the results of the analyses. He or she is a creative thinker who understands user interface design and applies visualizations skills such as user experience design, data visualization, and graphical design. The individual in this role understands how information is turned into knowledge and how this knowledge supports and enables key business processes. Responsibilities Design and Develop visualizations to manipulate complex datasets in simple, intuitive, interactive formats Develop data visualization techniques in developing business analytics and semantic data access requirements Translate business analytics needs into data visualization requirements, typically via iterative/agile prototyping Work closely with data engineers and data scientists to optimally design and implement semantic data consumption within data visualization environments Convert data into business insights using advanced visualization techniques to help with data-driven decision making and management reporting Should have the ability to interact with customers, interpret business requirements and design documents Should be able to blend, manipulate & transform data to create powerful/Interactive dashboards Should have experience in admin activities like publishing, adding users, creation of subscriptions and deployment Knowledge of databases, warehouses, business intelligence systems, Hadoop, Python, and other data analysis tools is good to have Should have the ability to write Advanced SQL queries & stored procedures, a strong understanding of relational and dimensional data models Skills/Experience required Bachelors degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required A minimum of 5+ years of hands-on and demonstrating working knowledge in designing and developing visualizations in Power BI 3 to 4 years of experience working with a self-service tool, preferably Power BI Should have knowledge and experience in SQL Able to implement row-level security on data and understand application security layer models in Power BI Proficient in making DAX queries in Power BI Desktop Expertise in using advance level calculations on the data set Should have knowledge and experience in prototyping, designing, and requirement analysis Experience of 5+ years in data preparation, data gateway, and data warehousing projects Technical expertise in data modeling, data mart design, and the ability to easily extract data from multiple sources Experience with AWS, Azure, SQL Server, Data Warehouse, Azure Data Warehousing, Databricks, and/or Big DataA solid understanding of SQL, rational databases, and normalization. Extensive experience in developing, maintaining, and managing Power BI/Tableau-driven dashboards & analytics and working knowledge of Tableau administration/architecture. Excellent analytical skills. Excellent written & oral communication skills. Attention to detail. Competencies Tech Savvy -Anticipating and adopting innovations in business-building digital and technology applications. Self-Development -Actively seeking new ways to grow and be challenged using both formal and informal development channels. Action Oriented -Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Customer Focus -Building strong customer relationships and delivering customer-centric solutions. Optimize Work Processes -Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. 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.