Senior MLOps Engineer Saint-Gobain International IT Delivery Centre

5.0 - 7.0 years

0 Lacs

Mumbai, Maharashtra, India

On-site

About the Company: Saint-Gobain group through its group company Grindwell Norton Limited has established INDEC - an International Delivery Center in Mumbai to provide IT solutions and services to the groups businesses Globally INDEC is currently organized into INDEC Application Development, INDEC Infrastructure Management and Cyber Security Management. While INDEC Apps specializes in Software application development and maintenance services (ADM), INDEC Infra specializes in monitoring and managing the key IT infrastructure assets of the group deployed globally across 70 countries worldwide. INDEC provides IT Services and Solutions to the Saint-Gobain group through its state-of-the-art delivery centers based at Andheri East in Mumbai. There are approximately 1200+ associates working in INDEC currently. INDEC Apps provides software application development and maintenance services across a wide spectrum covering SAP, Java, PHP, .Net, CRM, Mobility, Digital, Artificial Intelligence (AI), and Robotic Automation. INDEC Infra on the other hand operates the following service lines: Network Coordination Center (NCC/NOC), Data Center Infrastructure Support, IT Standards, Tools Engineering and Reporting Automation. INDEC Cybersecurity provides 24/7 Security monitoring to detect & react on any suspicious activity in Saint- Gobain. It provides services on vulnerability scanning, web application firewall, endpoint protection, strong authentication, digital certificate, Win 10 MBAM and SFTS support. About the role : Saint-Gobain is modernizing its Data practices with more and more Artificial Intelligence algorithms and is seeking a senior MLOps Engineer to reinforce Saint-Gobain center of excellence in AI & GenAI, assisting Saint-Gobain Data Science teams worldwide in building and deploying AI applications to maximize the value brought to the Business by Artificial Intelligence applications. In this role, you will: Act as an expert, assisting Data Scientists in designing AI solutions, selecting and implementing the right technologies according to their needs Move AI applications from prototyping stage to production Extend the AI & GenAI foundations (Saint-Gobain Python libraries for AI & GenAI, CI/CD pipelines, reference AI/GenAI architecture, and global AI/Gen AI tools) which will be used by all main Data Science teams in Saint-Gobain worldwide, including local AI/GenAI factories Deploy and scale AI applications developed by Data Scientists to new Business units Ensure the automation of applications & models monitoring Support end-users on the use of Saint-Gobain AI & GenAI foundations In this role, you will report to: INDEC Data & AI manager In this role, you will interact with: Data Scientists from different BUs of Saint-Gobain worldwide to guide them on the best use of Saint-Gobain AI & GenAI technologies and tooling Local MLOps engineers in BUs assisting Data Scientists locally, to provide them expertise on AI tooling and methodology Business users to support their use of Saint-Gobain global AI/GenAI applications Qualifications: MS degree in Data Science Proven experience (5+ years) in AI Engineering in a cloud environment (Azure / AWS / GCP) Skills: Expertise in MLOps (models re-training, labelling & monitoring) Expertise in Python and ML models optimization. Expertise in Cloud AI Services, especially Azure ML Good knowledge in Generative AI architectures and solutions Good knowledge in applications industrialization (Dockers / Kubernetes) Good knowledge in DevOps (Git, CI/CD pipelines) Fluent in English and takes initiatives SELECTION PROCESS: Interested Candidates are mandatorily required to apply through the listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf of Saint-Gobain INDEC Candidates selected after the screening test will be interviewed by Saint-Gobain INDEC Show more Show less

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