LLMOP’s Enginner

Your Role

• Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment

• Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools

• Develop and maintain CI/CD pipelines for ML workflows

• Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe)

• Optimize ML infrastructure for performance, scalability, and cost-efficiency

Your Profile

• GenAI scalability & integration
• Ops support for Large Language models including incidents management, and user support
• GenAI solutions monitoring and maintenance, including performance monitoring, user interaction monitoring and efficacy monitoring
• Guardrails review and monitoring include bias audits, and other identified guardrail checks based on implemented GenAI solutions
• Code management support including proactive code optimization beyond break fixes 
• Implementation of Cost and Performance Optimizations for Gen AI applications based on the LLMOps monitoring data 

What you’ll love about working here

• We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance
• Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
• Equip yourself with valuable certifications & training programmes in the latest technologies such as LLMOps, Machine Learning