- Create template repos. for ML model training and serving
- Design serving architectures to achieve the required latency and throughput
- Implement CI/CD tools to automate model training, testing, and deployment
- Design, build, and maintain scalable infrastructure for deploying machine learning models into production environments.
- Optimize and finetune the infra. for performance, scalability, and cost efficiency
- Ensure consistency of pipeline runs/API responses irrespective of the run environment by proper environment/config./secrets management
- Ensure traceability and reproducibility of pipeline runs/API responses by implementing best practices and tools for logging, code/data/model/metadata versioning, etc.
- Ensure reliability of pipelines/APIs by implementing monitoring and alerting tools
- Collaborate closely with AI scientists to develop and deploy highperformance ML APIs that are extensible and optimized for efficiency and performance
- Provide mentorship and guidance to the DevOps team on MLspecific architectures, tools, and best practices.
- At least 3 years of experience specifically in productionizing and maintaining ML pipelines
- Docker, Kubernetes for containerization and orchestration
- Jenkins, Github Actions, CircleCI for CI/CD
- MLFlow, Neptune, and TensorBoard for ML experiment tracking and monitoring
- ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana for general logging and monitoring
- Airflow, perfect for workflow management
- Terraform for IaaS
- AWS solutions and services
- Understanding of how ML models and workflows work enough to be able to debug them if required
- Competitive financial rewards + annual PLI (Performance Linked Incentives)
- Hybrid mode of working with the base location being New Delhi
- Meritocracydriven, candid & diverse culture.
- Company trips and virtual bonding activities.
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MLOps Engineer - Anywhere in India/Multiple Locations - antal international network
Description
About the Company:
This is a Series A funded web3 startup based in Singapore with a team of over 60. Three founders lead the company with experience in successful ventures
They have two products:
a fantasy trivia game and a recently launched, pseudonymous social media app.
This social media app is designed to be a platform for honest opinions on unconventional and esoteric topics, similar to a blend of Reddit and Twitter.
The company utilizes a variety of technologies for development, including Solidity, NodeJS, MEAN/MERN stacks, mobile development frameworks like Ionic or Flutter, and cloud technologies like Design, build, and maintain end-to-end ML training and serving pipelines