Engineer Ip Verification in India

... Facility: ADANI ARAVALI (ADANI ENTERPRISES) - FM Job Code: IJP562966 | Source: Sodexo India

... Facility: CENTAUR PHARMA - GOA Qualification: Diploma Job Code: IJP565106 | Source: Sodexo India

... Address: 11 Rajiv Gandhi IT Expy Customs Colony Mettukuppam Thoraipakkam Facility: TCS - Tek Tower Qualification: Diploma Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP565399

... Address: Kensington, Wing A & B, Hiranandani Builders Special Economic Zone, Powai, Mumbai 400076 Facility: TCS KENSINGTON A&B - MUMBAI FM Qualification: Diploma Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP566272

... Address: Plot 446 G &H IMT Manesar Rd Sector 8 Imt Manesar Gurugram Haryana Facility: ATOTECH MANESAR FM Qualification: Diploma Experience: 5 - 6 years Source: Sodexo India | Job Code: IJP566660

... Address: Plot No. 1/G1 Siruseri Special Economic Zone Sipcot Information Technology Park Navallur Post Siruseri Chennai - 603103 Facility: TCS - SIRUSERI FM Qualification: Graduate Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP566847

... Address: Bangalore KARNATAKA Facility: HCL SUPPORT NAD Qualification: Post graduate Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP566271

... Address: Site No 11/1 12 12/1 and 13 of Rajajinagar Industrial ext Yashwant Towers Municipal Khata No 42 Yashwant Towers Mahalakshmi Pura Yashwantpura Hobli Tumkur Road Bengaluru Bengaluru Urban Karnataka 560022 Facility: TCS - Yeshwanthpur Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP525181

... Address: Site No 11/1 12 12/1 and 13 of Rajajinagar Industrial ext Yashwant Towers Municipal Khata No 42 Yashwant Towers Mahalakshmi Pura Yashwantpura Hobli Tumkur Road Bengaluru Bengaluru Urban Karnataka 560022 Facility: TCS - Yeshwanthpur Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP525182

... Address: B-14A, Sector-62,Noida, Uttar PradeshUPINDIA201307 Facility: HLL INFRA TECH SERVICES - WB Qualification: Graduate Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP530537

... Address: C/O DRL-CTO VI-Vizag SEZ, Developer Survey, No.: 57 -80 , Devunipalavalasa Village, Ranastalam MandalSrikakulamAPINDIA532409 Facility: DRL-CTO VI-VIZAG Qualification: Graduate Experience: 8 - 10 years Source: Sodexo India | Job Code: IJP526029

... Address: B-14A, Sector-62,Noida, Uttar PradeshUPINDIA201307 Facility: HLL INFRA TECH SERVICES - WB Qualification: Graduate Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP566233

... Address: B-14A, Sector-62,Noida, Uttar PradeshUPINDIA201307 Facility: HLL INFRA TECH SERVICES - WB Qualification: Diploma Experience: 4 - 6 years Source: Sodexo India | Job Code: IJP565387

... Address: Seva Sadan Road Upper Bazar Ranchi. (Opposite Bara Talab Near Ranchi Lake) Facility: NAGARMAL MODI SEVA SADAN - HTM Qualification: Diploma Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP560228

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Minimum experience of 4-6 Years required in AI ML Ops Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance