Genpact
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Noida · Remote · 5-8 Yrs · Sep 23
Information Technology Support Services · 10000+ Employees · New York, US
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at www.genpact.com and on the following social handles: X: https://twitter.com/genpact Facebook: https://www.facebook.com/ProudToBeGenpact/ Instagram: https://www.instagram.com/genpact_global/ YouTube: https://www.youtube.com/@GenpactGlobal
Hiring: Engineering
What employees say
+ Some good people and capable colleagues. The company has exposure to large global clients and complex projects, which can provide valuable experience early in your career.
− The employee experience can be extremely disappointing, particularly in Transitions. The workload and accountability placed on individual employees can be disproportionate to the r
More reviews on the company profile.
Interview experience · Tech Lead
Resume shortlisted from Naukri 1st Technical evaluation internally 1 round Technical evaluation test with pen and paper in office 2nd round of technical evaluation with client 3rd round of technical evaluation with c
Difficult difficulty · Noida · 2,849 reports
More interview insightsJob description
Overview
Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future.
Responsibilities
- Lead Consultant -ML Ops Engineer!we are looking for a candidate to perform duties such as Cloud readiness assessments, AWS architecture design, system evaluation, system analysis, AWS Infrastructure Operations, Optimization and Maintenance, Change and Configuration Management
- Work location: India(Noida)Responsibilities.
- Design, develop, and implement ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring.. MLOps
- Support and Maintenance on ML Platforms Dataiku/Sagemaker. Apply understanding of Dataiku Govern functionalities, including item and artifact management, workflow control, and sign-off processes.. Using best practices for data governance and model accountability within the MLOps lifecycle..
- 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..
- Conduct ground truth analysis to evaluate the accuracy and effectiveness of LLM outputs compared to known, correct data..
- Work closely with infrastructure and DevOps teams to provision and manage resources for ML and LLM development and deployment..
- Develop and maintain robust monitoring and alerting systems for generative AI models in production, ensuring proactive identification and resolution of issues..
- Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization..
- Manage and maintain cloud infrastructure (e.g., AWS, Azure) for ML workloads, ensuring cost-efficiency and scalability..
Qualifications
- in ML Ops Engineer /Insurance Second preference data analytics experience coupled with hands on technical skills Python, AI,ML,SQL and MS Dynamics 365.Work location: India(Noida)Responsibilities.
- Design, develop, and implement ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring.. MLOps Support and Maintenance on ML Platforms Dataiku/Sagemaker. Apply understanding of Dataiku Govern functionalities, including item and artifact management, workflow control, and sign-off processes.. Using best practices for data governance and model accountability within the MLOps lifecycle..
- 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..
- Conduct ground truth analysis to evaluate the accuracy and effectiveness of LLM outputs compared to known, correct data..
- Work closely with infrastructure and DevOps teams to provision and manage resources for ML and LLM development and deployment..
- Develop and maintain robust monitoring and alerting systems for generative AI models in production, ensuring proactive identification and resolution of issues..
- Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization..
- Manage and maintain cloud infrastructure (e.g., AWS, Azure) for ML workloads, ensuring cost-efficiency and scalability..
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Job application FAQ
Last updated 5 October 2026
- How do I apply for Lead Consultant- ML Ops Engineer at Genpact?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Genpact may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Consultant- ML Ops Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Consultant- ML Ops Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked remote with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Lead Consultant- ML Ops Engineer role at Genpact?
- This is a lead Lead Consultant- ML Ops Engineer role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.