ML Ops
- ZNP
- Hyderabad,Chennai,Bangalore/Bengaluru
- Job Applicants : 1
- Posted Date : 14-09-2024
Job Description
Role & responsibilities
Model fine-tuning: Use popular open source libraries such as Hugging Face Transformers, DeepSpeed, PyTorch, TensorFlow and JAX to fine-tune and improve model performance.
Model review and governance: Track model and pipeline lineage and versions, and manage those artifacts and transitions through their life-cycle. Discover, share and collaborate across ML models with the help of an open source MLOps platform such as MLflow.
Model inference and serving: Manage the frequency of model refresh, inference request times and similar production specifics in testing and QA. Use CI/CD tools such as repos and orchestrators
Preferred candidate profile
Strong Experience in machine learning operations
Job Overview
Role & responsibilities
Model fine-tuning: Use popular open source libraries such as Hugging Face Transformers, DeepSpeed, PyTorch, TensorFlow and JAX to fine-tune and improve model performance.
Model review and governance: Track model and pipeline lineage and versions, and manage those artifacts and transitions through their life-cycle. Discover, share and collaborate across ML models with the help of an open source MLOps platform such as MLflow.
Model inference and serving: Manage the frequency of model refresh, inference request times and similar production specifics in testing and QA. Use CI/CD tools such as repos and orchestrators
Preferred candidate profile
Strong Experience in machine learning operations
Roles & Responsibilities
Role & responsibilities
Model fine-tuning: Use popular open source libraries such as Hugging Face Transformers, DeepSpeed, PyTorch, TensorFlow and JAX to fine-tune and improve model performance.
Model review and governance: Track model and pipeline lineage and versions, and manage those artifacts and transitions through their life-cycle. Discover, share and collaborate across ML models with the help of an open source MLOps platform such as MLflow.
Model inference and serving: Manage the frequency of model refresh, inference request times and similar production specifics in testing and QA. Use CI/CD tools such as repos and orchestrators
Preferred candidate profile
Strong Experience in machine learning operations
Job Summary
- Salary Range : 9 Lakhs - 16 Lakhs a year
- Job Type : Full time/Permanent
- Experience : 6 Years
- Number Of Openings: 1
- Job Shift : Day Shift
- Mode of Work: Hybrid
- Web. Address: http://www.zeronoticeperiod.com
Mode of Interview
- CV Screening
- Technical Assessment
- Video Interviews
- HR Interview
Skills
- Machine Learning
- ML Ops
- Machine Learning Ops
About Company
Tech Mahindra is part of the US $15.4 billion Mahindra Group and is a leading global systems integrator and business transformation consulting organization, focused primarily on the telecommunications industry. Tech Mahindra helps companies innovate and transform by leveraging its unique insights, differentiated services and flexible partnering models. This has helped customers reduce operating costs, generate new revenue streams and gain competitive advantage. Tech Mahindra expanded its IT portfolio in 2009 by acquiring the leading global business and information technology services company, Mahindra Satyam (earlier known as Satyam Computer Services).
Tech Mahindra€™s capabilities spread across a broad spectrum, including Business Support Systems (BSS), Operations Support Systems (OSS), Network Design & Engineering, Next Generation Networks, Mobility Solutions, Security consulting and Testing.
Tech Mahindra€™s solutions portfolio includes Consulting, Application Development & Management, Network Services, Solution Integration, Product Engineering, Infrastructure Managed Services, Remote Infrastructure Management and BSG (comprises BPO, Services and Consulting).
With an array of service offerings for TSPs, TEMs and ISVs, Tech Mahindra is a chosen transformation partner for several leading wireline, wireless and broadband operators in Europe, Asia-Pacific and North America.
Tech Mahindra has successfully implemented more than 16 Greenfield Operations globally and has over 130 active customer engagements mostly in the Telecom sector. The company has been involved in about 8 transformation programs of incumbent telecom operators.
Tech Mahindra has a global footprint through operations in more than 31 countries with 17 sales offices and 15 delivery centers. Assessed at SEI CMMi Level 5, Tech Mahindra's track record for value delivery is supported by over 40,500 professionals who provide a unique blend of culture, domain expertise and in depth technology skill sets. Its development centers are ISO 9001:2008 & BS7799 certified.
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