Senior Principal Consultant – Azure AI Engineer Lead
Senior Principal Consultant – Azure AI Engineer Lead
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Job Description
Ready to build the future with AI
At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 whats possible this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow to know us onLinkedInXYouTube andFacebook.
Inviting Applications for the role of Senior Principal Consultant Azure AI Engineer / Lead
In this role we are seeking a highly skilled and passionate Azure AI Engineer / Lead to join our dynamic Cora Sequence 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
Bachelors or masters 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 careerGain 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 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets 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.
Required Experience:
Staff IC
Employment Type
Full-Time
