Machine Learning Engineer

4 weeks ago

Anywhere in IndiaMultiple Locations antal international network Full time

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 :

- 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 cost-efficiency.

- Ensure consistent pipeline runs and API responses across environments.

- Implement best practices for logging, versioning, and monitoring to ensure traceability and reproducibility.

- Develop high-performance, extensible ML APIs in collaboration with AI scientists.

- Mentor the DevOps team on ML architectures, tools, and best practices.

Qualifications :

- 3+ years of experience in productionizing and maintaining ML pipelines.

Proficiency in :

- 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.

Benefits :

- Competitive salary and performance-based incentives.

- Hybrid work model with a base location in New Delhi.

- Meritocratic, open, and diverse company culture.

- Company trips and virtual team-building activities.

(ref:hirist.tech)

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