Senior Software Engineer-Data Engineer - Azure- GenAI

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Data Engineer+ Gen AI+ Azure Position: Senio Soft Engineer Experience: 6-7 Years Category: Software Development/ Engineering Shift: Timing/rotation etc. details Main location: Hyderabad Position ID: J0626-1580 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description: We are looking for an experienced Data Engineer+ Gen AI+ Azure to join our team. The ideal candidate should be passionate about coding and developing scalable and high-performance applications. You will work closely with our front-end developers, designers, and other members of the team to deliver quality solutions that meet the needs of our clients. Your future duties and responsibilities: . Looking for a data engineer who can examine new data system requirements and implement migration models . Technical Expertise: . Design, develop, and deploy generative AI solutions leveraging Azure OpenAI Service and Azure Cognitive Services. . Deep knowledge in Azure Foundry and Data eco system. . Create and optimize large language models (LLMs) for various use cases such as text generation, summarization, and content personalization. . Develop robust and scalable pipelines for data preprocessing, model training, and deployment. . Strong programming skills in Python or similar languages. . Familiarity with machine learning frameworks like PyTorch. . Hands on experience with generative AI models such as GPT. . Understanding of MLOps practices for building scalable AI pipelines. . Solid understanding of natural language processing (NLP), computer vision, and AI ethics . Expertise in fine tuning and training large scale models on custom datasets. . Bachelor's degree in computer science, computer engineering, or relevant field. . A minimum of 6 years experience in a similar role. . Strong knowledge data architecture in banking domain. . Excellent organizational and analytical abilities. . Outstanding problem solver. Good written and verbal communication skills