10FA India Private Limited

Prudential Global Services Pvt Ltd is a wholly owned subsidiary of Prudential Plc. Prudential, through businesses in Europe, Asia, and the United States, provides retail financial products, services and fund management options to customers. Established in 1848, today Prudential is a leading international financial services company with some 21 million customers, policyholders and unit holders and more than 27,000 employees worldwide. In UK, Prudential is a leading life and pensions provider having over seven million customers.

Prudential Plc's service centre in Mumbai (PPMS) - went live on 30 May 2003. Prior to the launch of our Mumbai centre, Prudential already has had business interests in India through two joint venture partnerships with the Industrial Credit and Investment Corporation of India Bank Limited (ICICI). Historically, Prudential has enjoyed a strong commercial presence in India.

PPMS has been set up to function as an integral part of Prudentials service operations- to enable support to the various financial products and services that are offered to customers. PPMS functions in the following areas: Customer Services, Risk Management, Knowledge Services, Human Resources, Information Technology and Finance. PPMS aims to replicate the same quality, productivity and cost-efficiency that have been largely responsible for the global success of Prudential. We are committed towards investing in people and help them bring out their best, which in turn helps us, provide excellent services to our customers and thereby superior financial returns.

Cloud ML Engineer


The ML Platform team is part of the wider Cloud Engineering capability within the Technology COO Function and work closely with numerous data science and data platform teams across the organisation.

The team runs the Learning Fabric platform that underpins the data science activity in terms of infrastructure, tools and data.

The engineer will contribute to the ongoing evolution and support of the platform as well as acting in a consultancy role to related projects. The engineer will be expected to design and implement solutions that meet and/or develop reusable patterns that support M&Gs architecture and governance principals.

The engineer will be expected to keep up to date with technical developments relevant to the platform and suggest the adoption of new technologies if appropriate.

You will have

  • A minimum of 2 years hands on experience with Azure.
  • Proven experience of Azure Solution Architecture, with specific focus on data science and data engineering patterns.
  • Experience in securing Azure PaaS/IaaS resources
  • Azure Administration (AZ-103), Security (AZ-500), DevOps (AZ-400), Solution Architecture (AZ-300/301) certifications are highly desirable.
  • Experience of Azure DevOps (VSTS) all solutions are deployed via CI/CD pipelines.
  • Specific Technologies
  • Azure Databricks (mandatory)
  • Azure Storage datalake, SQL, storage accounts (mandatory)
  • Powershell (mandatory)
  • ARM (mandatory)
  • Python (mandatory)
  • Virtual Machines (mandatory)
  • Azure networking nsg/udr/firewalls (mandatory)
  • .net/c# development (desirable)
  • PowerBI (desirable)
  • Data Factory / Data Flow (desirable)
  • Azure Synapse (desirable)


Key Responsibilities

  • Define, design, and build Azure cloud solutions required by the ML Teams customers utilising standard methodologies and building re-usable components etc.
  • Support the operational elements of the platform.
  • Support customer teams use of Azure Databricks.
  • Identify opportunities to automate / improve existing solutions.
  • Ensure solutions meet the appropriate data security/privacy and proactively engage with customers to ensure data security is inbuilt with their activities
  • Conduct prototyping and evaluation studies for new workloads.
  • Undertake technical discussions and workshops with technology partners and internal resources.
  • Automating, monitoring, and alerting on all aspects of a cloud solutions design.
  • Leveraging Infrastructure-as-Code techniques for automated delivery.
  • Define and contribute to the teams documentation relating to the platform, products and solutions.

Industry: Information Technology and Services

Functional Area: IT - Software

Experience: 2 + years

Location: Pune (Maharashtra, India), Mumbai (Bombay) (Maharashtra, India), Bengaluru (Bangalore) (Karnataka, India)

Interested candidates can revert with their updated resume

Please mention:

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Maharashtra, India

Job Ad publication date: 11 Sep 2020