Lead the design and development of scalable AI/ML services while driving alignment with tech teams. Collaborate on best practices and delivery execution.
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
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 hands-on experience working as an MLE/MLOps or Full-stack 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 open-source 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 organisation-defined Capabilities, which for these roles are:
- Innovative: To design forward-thinking, 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 non-technical stakeholders.
- Openness: To tackle challenges constructively, seek feedback, and create an environment of trust and collaboration
Hands-on 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 hands-on development / execution as opposed to design & strategy that the senior / lead would be involved in.
Location:
BengaluruBrand:
MerkleTime Type:
Full timeContract Type:
PermanentTop Skills
Api Gateway
AWS
Aws Cdk
Confluence
JIRA
Keras
Miro
Node.js
PyTorch
Serverless Computing
TensorFlow
Tfserv
Typescript
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
