ML Engineering Architect - Bengaluru, India - Tredence Inc.

Description

Responsibilities:

• Has exposure to building platforms for Big Data and ML/AI.
• Defines best practices and architecture with deep domain knowledge.
• Does rapid prototyping and shows the value and then hands it over to the team for further development.
• Constantly evolve the platform to identify bottlenecks in both runtime and development time aspects of the platform and improve them.
• Mentor to write quality code and documentation which can be used as the example for your company.
• Mentor other engineers and continue building a strong culture of quality.
• Plan to reduce technical debt.

Requirements:

• Bachelor's degree or higher in an engineering field (e. g. Computer Science, Computer Engineering, etc.) with at least 8 to 10 years of relevant experience building highly scalable distributed systems.
• Have advanced knowledge of at least one programming language (python, node( Good to have) Golang) and at least basic knowledge of one or more of the following technologies: Kafka, NoSQL & relational databases, Redis, MQ etc.
• Should have hands on experience in system design and microservice architecture.
• Well versed with debugging and monitoring of platforms.
• Good understanding of docker, Kubernetes and DevOps/MlOps practices.
• Expertise on cloud ecosystem (Azure/AWS/GCP).
• Should have hands on experience in AI/ML architecture (ML Engineer)
• Should have worked on GenAI and NLP use cases