Only 24h Left Principal Consultant Manager

Job Description Ready to build the future with AI At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Principal Consultant Manager (GenAI Full Stake Developer) We are seeking a highly skilled in backend development with strong python skill to join our AI Engineering team. This role is focused on operationalizing GenAI solution-ensuring they are efficiently trained, deployed, monitored, and retrained across scalable infrastructure or edge environments. The ideal candidate has deep technical knowledge of GenAI infrastructure, and hands-on experience with GenAI backend coding, pipelines in production. You'll work closely with data scientists, DevOps, and software engineers to ensure GenAI solutions are robust, secure, and production-ready always. Key Responsibilities: .API Development: Design, develop, and maintain APIs using frameworks like FastAPI, Flask facilitate communication between client applications and Azure services. .Cloud Deployment: Utilize Azure services such as Virtual Machines, Functions, Container Instances, Container Registry, Machine Learning, and Cosmos DB for deploying backend services and implementing scalable solutions. .Data Management: Manage large datasets efficiently using Azure Cosmos DB. Develop strategies for data storage and retrieval. .Performance Optimization: Analyze and enhance application performance by implementing caching strategies and optimizing code for speed and efficiency. .Error Handling and Logging: Implement robust error handling in Python applications. Set up comprehensive logging mechanisms to monitor application performance. .Auditing: Implement auditing processes to track changes and ensure compliance with security standards. .Build python backend code for reusable assets development Skills Required: .Python Proficiency: Strong command of Python programming language with the ability to write clean, efficient, and maintainable code. .Object-Oriented Programming (OOP): Experience in using classes and objects in Python to create modular and reusable code structures. .Framework Experience: Expertise in one or more Python web frameworks such as FastAPI, Flask, or Django. .UI/Frontend development with React and integration with backend. .Cloud Knowledge: Familiarity with Azure services including Functions, Virtual Machines, Container Instances, Container Registry, Machine Learning, and Cosmos DB. .Problem-Solving: Strong analytical skills to troubleshoot issues and implement effective solutions. .Hand on experience with large scale GenAI project will be add on. Required Qualifications: .Bachelor's or Master's in Computer Science, Engineering, or a related field. .Sound experience in ML engineering, with significant work in GenAI project development and deployment. .Strong coding skills in Python and familiarity with scripting for automation. .Proven experience in backend development with Python and Azure/AWS. .Proven experience in UI development with React. .Strong understanding of API design and cloud architecture.Preferred Qualifications: .Experience with real-time video analytics or image-based inference systems. .Knowledge of MLOps best practices (model registries, lineage, versioning). .Familiarity with edge AI deployment and acceleration toolkits (e.g., TensorRT, DeepStream). .Exposure to CI/CD pipelines and modern DevOps tooling (Jenkins, GitLab CI, ArgoCD).Why join Genpact .Lead AI-first transformation - Build and scale AI solutions that redefine industries .Make an impact - Drive change for global enterprises and solve business challenges that matter .Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills .Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace .Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build .Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together.Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.