Lead Consultant – Azure Ai Engineer

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 Lead Consultant - Azure AI Engineer In this role We are seeking a highly skilled and passionate Azure AI Engineer to join our dynamic Cora Sequence team In this role you will be instrumental in designing developing deploying and managing AI ML solutions on the Microsoft Azure platform You will work closely with data scientists researchers and product managers to translate complex analytical models into production-ready scalable applications Your expertise in Azure AI services MLOps and data engineering will be crucial in delivering high-impact AI capabilities Responsibilities Design Development Architect and develop end-to-end AI ML solutions using Azure AI services e g Azure Machine Learning Azure Cognitive Services Azure Databricks Azure Synapse Analytics Model Deployment Management Implement robust MLOps practices for continuous integration continuous delivery CI CD monitoring and retraining of machine learning models in Azure Data Pipelining Build and optimize scalable data pipelines for ingesting transforming and preparing large datasets for AI model training and inference Performance Optimization Optimize AI models and their serving infrastructure for performance cost-efficiency and scalability Collaboration Work collaboratively with data scientists to operationalize models provide feedback on model design for production readiness and ensure seamless integration with existing systems Troubleshooting Support Diagnose and resolve issues related to AI ML deployments data pipelines and Azure infrastructure Security Compliance Ensure AI solutions adhere to best practices for data security privacy and compliance within the Azure ecosystem Documentation Create comprehensive documentation for AI solution architectures deployment procedures and operational guidelines Stay Current Keep abreast of the latest advancements in Azure AI services machine learning technologies and MLOps trends Qualifications we seek in you Minimum Qualifications Bachelor s or master s degree in computer science Engineering Data Science or a related quantitative field Relevant years of experience in developing and deploying AI ML solutions with a strong focus on Microsoft Azure Proficiency in Python and experience with relevant AI ML libraries e g scikit-learn TensorFlow PyTorch Keras Demonstrated experience with Azure Machine Learning including MLOps concepts model registration deployment AKS ACI and monitoring Hands-on experience with Azure data services such as Azure Data Lake Storage Azure Data Factory Azure Databricks or Azure Synapse Analytics Solid understanding of software engineering principles including version control Git testing and code review Experience with containerization technologies Docker Kubernetes Strong problem-solving skills and the ability to work independently and as part of a team Excellent communication and interpersonal skills Preferred Qualifications Skills Azure certifications e g Azure AI Engineer Associate Azure Data Scientist Associate Experience with Azure Cognitive Services e g Language Vision Speech or Azure Bot Service Familiarity with streaming data processing frameworks e g Apache Kafka Azure Event Hubs Azure Stream Analytics Experience with CI CD pipelines e g Azure DevOps GitHub Actions Understanding of distributed computing concepts and big data technologies Prior experience with sequential data processing time-series analysis or natural language processing NLP 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 starter kit paying to apply or purchasing equipment or training