4177083-Senior Manager

Job description: 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 SQL (advance) and Python Hands-on experience in working on any of the of cloud stacks: AWS/ Azure/ GCP Good communication skills Can work hands-on independently. Bachelor's degree from Tier I/II colleges preferred Job Responsibilities 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, transformation etc. aspects) under the constraints of scalability, correctness, and maintainability. Implement model evaluation and model + data validation tools/ techniques such as schema validation, evaluation metrics etc. Develop and deploy fCI/CD based automated ML application pipelines (collection, processing, cleaning, transformation etc.) along with the CT component for continuous feedback loop for re-training. Strong skills in Feature store setup, Pipeline Integration, Automated triggering, Model Continuous Delivery, Model Serving (via APIs) & Model Monitoring Responsible for productionizing and making the models available as APIs / micro services. Promote a practice of unifying system development (Dev) and system operations (Ops) Ensure output's thorough quality check & provide analytics driven insights and next steps. To perform statistical analysis and fine-tune models using test results. Understand data and different platforms used by the client. Actively contribute towards problem solving & mentor juniors in the teamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration - and we've been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that's unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It's our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we're some of the best in the business. Contact us to see how we can help you achieve your goals.