Well versed with HK machines Address: & 34 Vedas Complex Rajiv Gandhi IT Park Phase-I Hinjawadi Pune& 34 Facility: Persistent Systems-Vedas Complex IFM PN Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575497
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Machine Millwright Titleist in Pune
24 active opportunities · Updated October 2026
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Well versed with HK machines Address: & 34 Vedas Complex Rajiv Gandhi IT Park Phase-I Hinjawadi Pune& 34 Facility: Persistent Systems-Vedas Complex IFM PN Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575496
Experienced with the pantry and vending machine operations Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575488
Experienced with vending machine related operations Address: & 34 Ramanujan Blue Ridge Phase 1 Rajiv Gandhi Infotech Park Hinjawadi Pune& 34 Facility: Persistent Systems - Ramanujan IFM Pune Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575503
Experienced with vending machine related operations Address: & 34 Ramanujan Blue Ridge Phase 1 Rajiv Gandhi Infotech Park Hinjawadi Pune& 34 Facility: Persistent Systems - Ramanujan IFM Pune Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575499
Experienced with vending machine 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 - 4 years Source: Sodexo India | Job Code: IJP575491
Experienced with vending machine related operations Address: & 34 Ramanujan Blue Ridge Phase 1 Rajiv Gandhi Infotech Park Hinjawadi Pune& 34 Facility: Persistent Systems - Ramanujan IFM Pune Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575501
Experienced with vending machine 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 - 4 years Source: Sodexo India | Job Code: IJP575492
Experienced with the pantry and vending machine operations Address: & 34 Aryabhatta-Pingala Kashibai Khilare Road Opposite Sharda Center Erandawne Pune& 34 Facility: Persistent System-Aryabhhat Pingla IFM P Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575487
Experienced with vending machine related operations Address: & 34 Ramanujan Blue Ridge Phase 1 Rajiv Gandhi Infotech Park Hinjawadi Pune& 34 Facility: Persistent Systems - Ramanujan IFM Pune Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575502
Experienced with vending machine related operations Address: & 34 Ramanujan Blue Ridge Phase 1 Rajiv Gandhi Infotech Park Hinjawadi Pune& 34 Facility: Persistent Systems - Ramanujan IFM Pune Qualification: 12th Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP575500
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As a Senior Lead of the Alternatives Data Operations, you will lead the operations function that is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. You will manage a team of Alternatives Data Ops analysts who review Private Fund statements, modify data that has been incorrectly extracted by our machine learning models, and reprocess data within SLAs. In this role, you'll own the operational strategy, team performance, and continuous improvement of the Alternatives Data Ops function—a critical component of Addepar's Alternatives offering success. Your responsibilities will include b
Senior Data Consultant Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner... What will you be doing? ● Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players. ● In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. ● You weild both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business What are we looking for? ● You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting. ● Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism. ● We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis. ● You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,...). Artefact is the place to be: come and build the future of data and marketing! Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them.
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As part of the broader Addepar Data organization, the Alternatives Data Ops team is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. This role will include managing a team and reviewing Private Fund statements, modifying data that has been incorrectly extracted by our machine learning models, and reprocessing the data within SLAs. The Alternatives Data Ops team plays a critical role in the success of Addepar's Alternatives offering and requires daily communications with the Alternatives Product Team, Machine Learning Operations, clients, data providers (GPs and Fund Admins), and add
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Cloud Support Engineer — AI/ML & Programmability (Night Shift) Location: Pune, India Snowflake's Support team is expanding. We're looking for a Cloud Support Engineer who enjoys working with data and solving a wide variety of problems, drawing on hands-on experience across operating systems, database technologies, big data, data integration, connectors, and networking. Our mission is to make Snowflake the preferred platform for running all AI, ML, data science, and data engineering workloads. You'll join a highly productive, fast-moving team supporting Snowflake Cortex and our ML product lines — work that is central to delivering on Snowflake's AI Data Cloud mission. Snowflake Support is committed to providing high-quality resolutions that help customers deliver data-driven business insights and results. We are a team of subject matter experts working collectively toward our customers' success, building partnerships by listening, learning, and connecting. Snowflake's values shape how we deliver world-class Support: putting customers first, acting with integrity, owning initiative and accountability, and getting it done. As a Cloud Support Engineer, you'll be the technical partner our customers turn to for guidance on using Snowflake effectively. You'll also be the voice
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