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Title:  MLOPS & DATA LAKE DEVELOPMENT MANAGER

Job ID:  72922
Country:  Spain
City:  Madrid
Professional area:  Information Technology
Contract type:  Permanent
Professional level:  Experienced
Location: 

Madrid, MD, ES, 12600

 

We’re JTI, Japan Tobacco International and we believe in freedom. We think that the possibilities are limitless when you’re free to choose. In fact, we’ve spent the last 20 years innovating, creating new and better products for our consumers to choose from. It’s how we’ve grown to be present in 130 countries.

But our business isn’t just business. Our business is our people. Their talent. Their potential. We believe when they’re free to be themselves, grow, travel and develop, amazing things can happen for our business

That’s why our employees, from around the world, choose to be a part of JTI. It is why 87% of employees feel happy working at JTI. And why we’ve been awarded Global Top Employer status, eight years running

So when you’re ready to choose a career you’ll love, in a company you’ll love, feel free to #JoinTheIdea. 

Learn more: jti.com

 

 

MLOPS & DATA LAKE DEVELOPMENT MANAGER

 

What this position is about - Purpose:

 

MLOps & Data Lake Development Manager role is to plan and deliver AI and Azure Data projects and platform maintenance & upgrades at JTI worldwide. This role is responsible for the design and implementation of the monitoring, development standards and frameworks for the MLOps and JTI Central Data Lake Platform. You will ensure the efficient and qualitative development support for global relevant applications and projects under the Data Platform and Operations team governance. You will also coordinate the solution delivery by reviewing and monitoring the development efforts, project plans and assignments.

 

What will you do – Responsibilities:

 

  • Lead the definition and implementation of JTI’s machine learning pipelines; MLOps framework & tools, and best practices
  • Model registry for production: code version control, data versioning, model versioning
  • Model deployment, test automation, usually in the form of unit tests and integration tests
  • Model monitoring, data drift detection, re-training implementation, model roll-back
  • Adopt the best MLOps standards to design and develop scalable end-to-end machine learning pipelines: Training ML Pipeline + Serving ML Pipeline (CI/CD)
  • Build organizational MLOps expertise ensuring continuous learning, knowledge of best practices, and application of these
  • Support the team of data scientists, develop a strong team spirit, and participate in community initiatives
  • Work with data engineers regarding data pipelines and data versioning
  • Lead the development / maintenance for the Central Data Lake Platform applications, projects and enhancements under the Data Platform and Operations team governance
  • Collaborate with projects during development phase providing best practices and development standards
  • Design and document the application topology, technology recommendation and delivery methodology
  • Collaborate with GTC, EA and IT Security teams to receive the green light for the chosen topology; ensure that new development will fulfil the security and technical requirements
  • Work with the project manager and external service providers to estimate the resources, budget and plan. Highlight the known risks. Contribute to the Project Charter preparation and approval
  • Deliver the development up to the UAT phase and coordinate bug fixing during UAT
  • Responsible for the CI/CD of developments and production go live
  • Responsible of defining, maintain and execute the project handovers to Data Platform and Operations for maintenance support
  • Ensure transfer of knowledge/expertise to the application maintenance team
  • Act as POC for the Central Data Lake Platform Capacity administration and lifecycle management
  • Responsible for Platform monitoring and worldwide users support using this capability
  • Investigation and resolution of incidents and change requests, incidents and problems via Service Now
  • Coordinate outsourced resources for required resolution
  • Provide, review and confirm technical solutions
  • Ensure that technical specs documentation is regularly maintained and updated by the 3rd party
  • Manage Data Platform and Operations budget for the respective Microsoft Data Platform and external development team activities for projects
  • Ensure all the JTI hiring process is in place while engaging new consultants, contracts filled in in ITSP, PR/PO raised in SAP, monthly GRs posted, etc.
  • Communicate the requirements with relevant resources
  • Verify technical analysis and estimations given by resources
  • Manage development activities planning on a broad scale
  • Ensure and control efficient resource utilization; establish the QA KPIs for delivered solution
  • Implement proper unit testing activities and migration between environments                
  • Execute the lessons learnt analysis together with the team in the end of each project


Who are we looking for – Requirements:

 

  • College or University degree
  • MLOps framework designing and building machine learning pipelines
  • 4-5 years of experience in Data and Analytics from modelling and reporting standpoint
  • 5 years of experience in exposure to IT architecture and solutioning for data flows among system and applications
  • 3+ years delivering solutions on the Microsoft Azure platform with a special emphasis on data solutions and services
  • DEVOPS, CI/CD and Data project management
  • Strong analytical skills and troubleshooting skills
  • Should have good knowledge in testing and validating Analytical solutions 
  • Leading best in class BI tools such as PowerBI
  • Azure Data Lakes experience plus DataBricks and Data Factory
  • Azure Logic Apps
  • Very good understanding of Azure PaaS management and resource monitoring
  • CI/CD experience and DEVOPS
  • Very good Database skills (Azure SQL and Synapse), scripting and data modelling
  • MS Azure API Integration platform
  • Very good written and spoken English

 

What are the next steps – Recruitment process:

 

Thank you very much for your interest in the role. You are welcome to apply.
 

 

 


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