Own delivery and execute AI/ML services at Production scale (for Personalisation & Content squads)
Lead design and development of robust ML services that are optimised for efficiency and performance in collaboration with data & tech teams
Establish best practices for scalable impactful solutions
Influence tech team counterparts and drive alignment
Job Description:
Work Experience & Skills:
Role 1 (ML engineer manager)
- 7 years of handson experience working as an MLE/MLOps or Fullstack Engineer
- Strong software design & development experience in TypeScript with NodeJS
- Experience in building and scaling Machine Learning services (APIs) on AWS API Gateway Serverless Computing Caching Storage and Database concepts using AWS CDK. Familiarity with EKS is a plus.
- Strong in architecture data structures & algorithms and familiarity with opensource AI/ML tools and frameworks (e.g. PyTorch Keras TensorFlow and TFServ)
- Experience working in scrum teams with Agile tools like Jira Miro Confluence etc.
In addition to the technical skills all our team members are evaluated on organisationdefined Capabilities which for these roles are:
- Innovative: To design forwardthinking scalable solutions aligned with business goals.
- Drives Results: To deliver tangible outcomes at speed while navigating complexity and ambiguity.
- Collaborates: To work seamlessly with data scientists engineers and tech counterparts fostering strong partnerships.
- Inspiring Communication: To translate technical concepts into actionable strategies for both technical and nontechnical stakeholders.
- Openness: To tackle challenges constructively seek feedback and create an environment of trust and collaboration
Handson delivery also expected
Role 2 (ML engineer senior engineer)
Expectations for the ML Engineer (3 years of experience) would be similar from a tech stack point of view but they will be more handson development / execution as opposed to design & strategy that the senior / lead would be involved in.
Location:
Bengaluru
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent