System Power Engineer in India

Suitable for housekeeping activities Address: & 34 Bhageerath 402-Bhageerath SB Road Near Pavillion Mall Pune& 34 Facility: Persistent Systems - Bhageerath IFM Pune Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP574839

Suitable for housekeeping associate position. Address: & 34 Vedas Complex Rajiv Gandhi IT Park Phase-I Hinjawadi Pune& 34 Facility: Persistent Systems-Vedas Complex IFM PN Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP574741

Suitable for housekeeping associate position. Address: & 34 Vedas Complex Rajiv Gandhi IT Park Phase-I Hinjawadi Pune& 34 Facility: Persistent Systems-Vedas Complex IFM PN Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP574742

Suitable candidate for admin related work Address: & 34 Vedas Complex Rajiv Gandhi IT Park Phase-I Hinjawadi Pune& 34 Facility: Persistent Systems-Vedas Complex IFM PN Qualification: 12th Experience: 2 - 5 years Source: Sodexo India | Job Code: IJP574950

Suitable for HK activities Address: & 34 Ramanujan Blue Ridge Phase 1 Rajiv Gandhi Infotech Park Hinjawadi Pune& 34 Facility: Persistent Systems - Ramanujan IFM Pune Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP574868

Suitable for housekeeping associate position. Address: & 34 Vedas Complex Rajiv Gandhi IT Park Phase-I Hinjawadi Pune& 34 Facility: Persistent Systems-Vedas Complex IFM PN Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP574734

Suitable for HK activities Address: & 34 Ramanujan Blue Ridge Phase 1 Rajiv Gandhi Infotech Park Hinjawadi Pune& 34 Facility: Persistent Systems - Ramanujan IFM Pune Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP574859

Suitable for HK position. Address: & 34 Vedas Complex Rajiv Gandhi IT Park Phase-I Hinjawadi Pune& 34 Facility: Persistent Systems-Vedas Complex IFM PN Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP574773

... Address: SEZ Unit Cessna Business Park Kadubeesanahalli Village Varthur Hobli Sarjapur-Marathahalli Outer Ring Road Facility: Cisco Systems Inc - FS Qualification: Not Specified Experience: 5 - 10 years Source: Sodexo India | Job Code: IJP573263

... Address: SEZ Unit Cessna Business Park Kadubeesanahalli Village Varthur Hobli Sarjapur-Marathahalli Outer Ring Road Facility: Cisco Systems Inc - FS Qualification: Graduate Experience: 7 - 10 years Source: Sodexo India | Job Code: IJP558096

This role is responsible to uphold and enhance the quality and integrity of mechanical components and systems through rigorous inspection and testing procedures. This includes coordinating for site inspections, conducting tests, overseeing boiler and pressure part surveys, and managing welder qualifications. The role also involves preparing and reviewing quality assurance plans and field quality plans, as well as leading quality training sessions to ensure high standards of workmanship and engineering practices. Source: Adani Group | Job ID: 57795

... Address: SEZ Unit Cessna Business Park Kadubeesanahalli Village Varthur Hobli Sarjapur-Marathahalli Outer Ring Road Facility: Cisco Systems Inc - FS Experience: 5 - 8 years Source: Sodexo India | Job Code: IJP570374

This role is responsible to maintain and enhance the operational excellence and reliability of all Control & Instrumentation systems associated with Boiler systems. This role is pivotal for conducting on-field maintenance activities including routine maintenance, timely overhauls, and calibration of equipment to prevent failures and ensure continuous operation. Source: Adani Group | Job ID: 57506

... Address: Rga Tech Park Utc Eco Energy 47 Maria Nagar Hadosiddapura Chikkakannalli Bengaluru Karnataka 560035. Facility: UBER INDIA SYSTEMS - FS BANAGLORE Qualification: Not Specified Experience: 5 - 10 years Source: Sodexo India | Job Code: IJP569544

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and