4177083-Senior Manager

About the role

Senior ML Ops Engineer Experience: 4-6 years Job Location: Gurgaon (Hybrid) Shift Timing: 1:00PM IST – 10:30 PM IST Skills/ Qualifications Required: Relevant experience in ML Engineering/ ML Ops role with an end-to-end understanding of ML based project’s solution design & architecture, development, implementation & deployment Should fulfill all the standard MLOps level 2 requirements for CI/CD + CT pipeline automation Strong grasp & hands on experience with production ready scalable code using…

What you'll do

• Actively own & manage client deliverables
• Design solution architectures and pipelines for ML applications
• Create ML prototypes, design ML systems, develop automated ML application pipelines (across data collection, processing, cleaning
• Implement model evaluation and model + data validation tools/ techniques such as schema validation
• Promote a practice of unifying system development (Dev) and system operations (Ops) Ensure output’s thorough quality check & provide analytics driven insights and next…

What you need

• 20–30 yrs of experience
• Machine learning
• LLMs
• Statistics
• SQL
• Python
• Financial statements
• Any graduate

Good to have

• MLOps
• Prototyping
• Microservices
• AWS
• CI/CD
• GCP