- Design, build, and manage ML pipelines for training, testing, and deployment.
- Create reusable templates for efficient model training and deployment.
- Design serving architectures for low latency and high throughput.
- Implement CI/CD tools to automate the ML lifecycle.
- Build and maintain scalable infrastructure for production ML models.
- Optimize infrastructure for performance, scalability, and costefficiency.
- Ensure consistent pipeline runs and API responses across environments.
- Implement best practices for logging, versioning, and monitoring to ensure traceability and reproducibility.
- Develop highperformance, extensible ML APIs in collaboration with AI scientists.
- Mentor the DevOps team on ML architectures, tools, and best practices.
- 3+ years of experience in productionizing and maintaining ML pipelines.
- Docker and Kubernetes for containerization and orchestration.
- CI/CD tools like Jenkins, Github Actions, or CircleCI.
- ML experiment tracking and monitoring tools (MLFlow, Neptune, TensorBoard).
- Monitoring tools (ELK Stack, Prometheus, Grafana).
- Workflow management tools (Airflow).
- Infrastructure as code tools (Terraform).
- AWS cloud services.
- Understanding of ML models and workflows for debugging purposes.
- Competitive salary and performancebased incentives.
- Hybrid work model with a base location in New Delhi.
- Meritocratic, open, and diverse company culture.
- Company trips and virtual teambuilding activities.
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Machine Learning Engineer - Anywhere in India/Multiple Locations - antal international network
Description
About the Company :
This Singapore-based startup focuses on creating web3 products, including Hunch, an anonymous social media app.
They're looking for a Machine Learning Engineer to design, build, and maintain pipelines for training and deploying machine learning models used in their applications.
Responsibilities :
Qualifications :
Proficiency in :
Benefits :
