Site Reliability Engineer

ACL DigitalBengaluru, Karnataka, India

30+ days ago

Job description

Position : SRE & DevOps (ML Framework / Ray.io / NodeJS / GO)

Location : Bangalore (Onsite)

Type of Hire : Contract

Duration : 1 year

SRE & Devops (ML Framework)

Required Skills :

Demonstrated ability in designing, building, refactoring and releasing software written in Python.
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton.
Ability to handle framework-related issues, version upgrades, and compatibility with data processing / model training environments.
Experience with AI / ML model training and inferencing platforms is a big plus.
Experience with the LLM fine tuning system is a big plus.

SRE & DevOps (Ray.io)

Required Skills :

Demonstrated ability in designing, building, refactoring and releasing software written in Python, C++.

Hands-on experience with Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting.

Ability to use Ray Dashboard and CLI tools for monitoring, resource tracking, debugging distributed jobs, and resolving production issues.

Having knowledge of Ray ecosystem libraries such as Ray Train, Ray Tune, Ray Serve, and Ray Data is a big plus.

Experience integrating Ray with tools such as Airflow, MLflow, Dask, DeepSpeed is a big plus.

SRE & DevOps (NodeJS)

Required Skills :

Demonstrated ability in designing, building, refactoring and releasing software written in Javascript.

Proficient in Node.js and web front-end / UI development.

Experience on jupyter notebooks.

Ability to integrate backend services with interactive UI components for developer productivity and ML workflow usability.

Experience on Visual Studio Code plugin development is a big plus

SRE & DevOps (GO)

Required Skills :

Demonstrated ability in designing, building, refactoring and releasing software written in Go programming.

Hands-on experience with Kubernetes plugin / operator / CRD development.

Having experience with KubeRay is a big plus.

Having experience with K8S machine learning projects like KubeFlow is a big plus.

Having experience with Kubernetes scheduler is a big plus.

Regards,

Harshit Garg

Team– Talent Acquisition

ALTEN Calsoft Labs

2890 Zanker Road, Suite 200, San Jose, CA 95134

Phone : +1 408-755-3060

Email : Harshit.g@acldigital.com

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Site Reliability Engineer • Bengaluru, Karnataka, India

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