AI Infrastructure Engineer
7 hours ago
As an AI Infrastructure Engineer at Genpact, you will play a crucial role in designing and implementing the infrastructure and pipelines for our cutting-edge Generative AI applications.
Key Responsibilities- Design, develop, and implement ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring.
- Conduct research and experimentation to explore new generative AI techniques and stay up to date with industry trends.
- Integrate GenAI APIs and microservices into existing applications and systems.
- Automate ML tasks across the model lifecycle, leveraging tools like GitOps, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes).
- Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows.
- Design and implement monitoring and alerting systems to track model performance, data drift, and other key metrics.
- Bachelor's degree in computer science, Data Science, Engineering, or a related field, or equivalent experience.
- Deep understanding of generative AI concepts, including neural networks, recurrent neural networks, and GANs.
- Experience in MLOps or related areas, such as DevOps, data engineering, or ML infrastructure.
- Proven experience in ML Ops, LLM Ops, or related roles, with hands-on experience deploying and managing machine learning and large language model pipelines.
Why Genpact: At Genpact, we're committed to delivering outcomes that shape the future. Our team is driven by a passion for innovation and a desire to create lasting value for our clients. If you're looking for a challenging and rewarding role that will help you grow your skills and expertise, join us as an AI Infrastructure Engineer.
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