Transformers Jobs in Hyderabad

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Conversational AI Technical Lead Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm IT is seeking a Lead Conversational AI Developer for its Intelligent Automation Center (IAC). This role focuses on designing and implementing AI-driven conversational experiences using Microsoft Azure, Copilot Stack, and GenAI frameworks. Key Responsibilities Design and implement Conversational AI solutions using Microsoft Azure and Copilot Stack with Generative AI. Hands-on experience with Microsoft Copilot Studio, Bot Framework, Azure AI Search, Azure OpenAI, and NLP technologies. Develop end-to-end AI projects utilizing Retrieval-Augmented Generation (RAG) and Agentic AI architectures. Build bot solutions using Python; knowledge of front-end technologies like Angular is a plus. Utilize Azure Cognitive Services (LUIS/CLU, QnA Maker, Spell Check, Speech API). Extend Copilot Agent functionalities with Power Automate, Logic Apps, and APIs. Work with LangChain, LlamaIndex, and Streamlit for GenAI solution development. Ensure code quality through unit testing and reusable test case development. Support product testing and UAT; report status, issues, and risks regularly. Mentor team members and improve automation skills through certification. Minimum Qualifications Bachelor s degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree. 2+ years of experience with database technologies like MongoDB or MySQL. Strong understanding of Conversational AI and Intelligent Automation methodologies. Experience in process mining tools like Celonis (data models, dashboards). Proficient in business process diagrams and flowcharting using Automation Anywhere. Knowledge of Robotic Process Automation (RPA) tools (certifications preferred). Strong programming background, especially in Python. Knowledge of RDBMS and SQL query writing. Experience in cloud platforms (preferably AWS); certifications are a plus. Agile development experience with tools like Jira. Skills & Competencies Strong knowledge of Microsoft Conversational AI Stack (Copilot Studio, Azure AI Foundry/Search/OpenAI). Experience in GenAI frameworks like LangChain. Strong communication, leadership, and team collaboration skills. Ability to manage tasks independently and lead a technical team effectively. Qualification : Bachelors degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree.

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.