4 Vae Jobs

As an AI Architect at Wipro Limited, you will be responsible for designing solutions and implementing generative AI models and algorithms using cutting-edge techniques such as GPT, VAE, and GANs. You will work on integrating cloud services from Azure, GCP, and AWS and collaborate with cross-functional teams to define AI project requirements aligned with overall business goals. Your role will involve researching the latest advancements in generative AI, machine learning, and deep learning techniques to optimize existing models for enhanced performance, scalability, and efficiency. You will also be developing and maintaining AI pipelines, including data preprocessing, model training, and evaluation. To succeed in this role, you should have a minimum of 6 years of experience in architecting AI ML applications, with at least one year focused on Generative AI. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure, as well as natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, will be beneficial. In addition to your technical skills, you will be expected to develop architectural solutions for new deals and major change requests, create enterprise-wide architectures, and provide technical leadership in the design and implementation of custom solutions. Your responsibilities will also include enabling delivery teams by offering optimal delivery solutions, managing projects, identifying risks, and ensuring quality assurance. Furthermore, you will be involved in competency building and branding by completing necessary trainings, developing proof of concepts, and presenting Wipro's point of view on solution design through white papers and blogs. Team management will also be a key aspect of your role, including resourcing, talent management, performance management, and employee satisfaction and engagement. Join Wipro Limited to be part of a modern digital transformation partner with bold ambitions. We value individuals who are inspired by reinvention and are committed to continuous evolution and growth. Come to Wipro and realize your ambitions in a purpose-driven environment that empowers you to design your own reinvention. Applications from people with disabilities are warmly encouraged.,

Role: Gen AI Developer Location: Hyderabad, Bangalore, Chennai Experience: 5+ Work mode: Work from office only Role: We are seeking a highly skilled and experienced Generative AI Specialist with a strong background in Artificial Intelligence and Machine Learning. The ideal candidate will have 5+years of hands-on experience in developing and deploying AI/ML models, with a specific focus on generative technologies. This role requires a creative and analytical thinker who can leverage the latest advancements in AI to create innovative solutions and drive our projects forward. Key Responsibilities and Skillsets Design, develop, and implement generative models using state-of-the-art techniques in AI and ML, such as GANs, VAEs and Transformer-based architectures Work on reinforcement learning and generative adversarial networks Familiarity with data engineering and big data technologies. Understanding AI deployment Strong programming skills in Python including TensorFlow, PyTorch, Keras, Apache Spark, Hugging Face transformers Comfortable working with large scale datasets, distributed computing frameworks Innovative thinker with a passion for exploring new ideas and pushing the boundaries of generative AI. Qualifications: Proven experience in developing and deploying generative AI models. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience in natural language processing (NLP) and computer vision. Publications in top-tier AI/ML conferences or journals. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Experience in natural language processing (NLP) and computer vision

Role & responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Education: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence. Programming proficiency: Expert-level skills in Python experience in machine learning and deep learning frameworks (PyTorch, TensorFlow). Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. . Proficiency in retrieval-augmented generation (RAG) setups, vector databases,Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices.

Formulation of products for the construction market, with an emphasis on cementitious products (Tile Adhesives, Grouts, dry mix mortars) Provide technical support and training to sales, manufacturing & management on existing or new products. Required Candidate profile Min.1-5 years experience in formulating construction related products preferably cementitious Knowledge of chemistry/ polymer science Knowledge of cement chemistry and tile adhesives is preferable