Site Reliability Engineer

4 weeks ago


Bengaluru, India ACL Digital Full time

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 GargTeam– Talent Acquisition ALTEN Calsoft Labs 2890 Zanker Road, Suite 200, San Jose, CA 95134Phone: +1 408-755-3060Email: Harshit.g@acldigital.com



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