Job Location: Mumbai
We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited). We are a fully owned subsidiary of the M&G plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. The company has rapidly transformed itself into a powerhouse of capability that is playing an important role in M&G plc’s ambition to be the best loved and most successful savings and investments company in the world.
Our diversified service offerings extending from Digital Services (Digital Engineering, AI, Advanced Analytics, RPA, and BI & Insights), Business Transformation, Management Consulting & Strategy, Finance, Actuarial, Quants, Research, Information Technology, Customer Service, Risk & Compliance and Audit provide our people with exciting career growth opportunities.
Job Description
Job Title
Machine Learning (Ops) Engineer
Level
Experienced Colleague
Job Function
Digital Transformation
Job Sub Function
BI & Insights
Reports to
Sr. Manager/Manager – Data & Analytics
Location
Mumbai
Business Area
M&G Global Services
Overall Job Purpose
Working with M&G Plc means becoming part of a brand with a global reputation and an exciting vision: to be the best loved and most successful saving & investments business.
M&G plc is a firm built on a rich and long history and with a commitment to an innovative future centred on the needs of customers and clients. There is a genuine opportunity to drive competitive advantage with value creation through the formation of this new organisation.
This role is for an Machine Learning (Ops) Engineer – Data & Analytics.
You will be focussing on designing, building and managing AI/ML infrastructure that enables our data scientists to develop and launch machine learning (ML) applications. You would be responsible for the machine learning operations (MLOps) pipelines creation and automation majorly on cloud, CI/CD pipelines orchestration. ML models deployment, testing and continuous maintenance. Your role will help colleagues to perform advanced analytics in a streamlined manner. This will help drive better recommendations, more accurate estimates, operational improvements, and other improved experiences for our customers and stakeholders. You would need to optimize the code and make sure that the ML application is scalable. Data scientist code refactoring.
Accountabilities/Responsibilities
- Design and build a reliable, secure and scalable machine learning platform that allows our data scientists to bring AI/ML models to production quickly and responsibly.
- Responsible for optimizing hyper parameters in a model, and evaluating those models.
- Take offline models data scientists build and turn them into a real machine learning production system.
- Identify business and technical requirements to define the platform solution, working with data science, product, cloud/release and other technical teams.
- Partner with stakeholders as a subject matter expert on ML infrastructure at scale.
- Ensure delivery of high quality engineering solutions with the team, establishing and implementing best practices for development, testing and deployment such as Infrastructure-as-Code, GitOps, container orchestration.
- Implement agile software development principles, DevOps and MLOps practices to drive a bigger impact for the team and data science users.
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
- Create and apply standards, metrics, and monitoring to gauge and enhance service quality.
- Support model development, with an emphasis on auditability, versioning, and data security.
- Facilitate the development and deployment of proof-of-concept machine learning systems.
Key Stakeholder Management
Internal
- M&G Plc.
- M&G Global Services
External
- Partner(s)/Vendor(s)
Knowledge, Skills, Experience & Educational Qualification
Knowledge & Skills:
- Good programming skills, hands-on experience with machine learning frameworks, libraries, agile settings, and implementing machine learning solutions utilizing DevOps concepts.
- Ability to design and implement cloud solutions (MS Azure)
- Ability to build MLOps pipelines on cloud solutions (MS Azure)
- CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools.
- Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc.
- Experience with Docker and Kubernetes.
- Programming language – PySpark, Python.
- Exposure to machine learning methodology and best practices
- Knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. and ability to understand tools used by data scientist.
- Familiar with data structures, data modelling, and database management systems.
- Experience with software development and test automation.
- Good communication skills and ability to work in a team.
Good to have
- Azure Synapse knowledge.
- Knowledge and exposure to Regulatory processes like Information Security, Data Protection, etc.).
- Onshore/Client site working experience.
Experience:
- At least 7 years of relevant experience.
Educational Qualification:
- Preferably should have Technical/Science Graduation degree with specialization in Computer Science, Statistics, Mathematics, Science, Engineering or related discipline
- Data, Analytics and Business Intelligence certification would be an add on
M&G Behaviours relevant to all roles:
Inspire Others: support and encourage each other, creating an environment where everyone can contribute and succeed
Embrace Change: be open to change, willing to be challenged and able to adapt quickly and imaginatively to new ideas
Deliver Results: focus on performance, set high standards and deliver with energy and determination
Keep it simple: cut through complexity, keep the outcome in mind, keeping your approach simple and adapting your message to every audience
We live by four behaviours at M&G Global Services and we ask all our employees to:
- Inspire Others – Support and encourage each other, creating an environment where everyone can contribute and succeed
- Embrace Change – Be open to change, willing to be challenged and able to adapt quickly and imaginatively to new ideas
- Deliver Results – Focus on outcomes, set high standards and deliver with energy and determination
- Keep it Simple – Cut through complexity and bureaucracy, be clear and decisive and never overcomplicate things
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