MLOps Engineer

WILLWARE TECHNOLOGIES PRIVATE LIMITED

Job Location:

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Position: MLOps Engineer
Company: WillWare Technologies
Location: Bangalore
Work Mode: WFO

Required Qualifications:

Orchestration: Deep experience with Valohai (Preferred) Kubeflow Airflow or AWS SageMaker Pipelines.
Model Lifecycle: Expert-level knowledge of MLflow for tracking experiments and managing model registries.
Cloud Proficiency: Hands-on experience with both Azure and AWS ecosystems.
Coding: Strong proficiency in Python and shell scripting.
Containers: Docker and container orchestration.

Key Responsibilities:

MLOps as Code & Orchestration

Design and implement MLOps as Code methodologies. pipelines infrastructure and configurations must be versioned reproducible and automated (GitOps).
Manage and optimize deep learning orchestration platforms (specifically Valohai or similar tools like Kubeflow/SageMaker Pipelines) to automate training fine-tuning and deployment workflows.
Standardize execution environments using Docker and ensure reproducibility across local dev and production environments.
Central Registry & Governance
Own the Central Model Registry strategy using MLflow. Ensure strict versioning lineage tracking and stage transitions (Staging to Prod) for all models.
Enforce governance policies for model artifacts ensuring security and compliance across the model lifecycle.
Multi-Cloud Architecture (Azure & AWS)
Operate in a hybrid cloud environment. You will leverage Azure (AI Foundry OpenAI Service) and AWS (SageMaker Bedrock EC2/GPU instances) based on workload requirements.
Design seamless integrations between cloud storage (S3/Blob) compute and the orchestration layer.
Experience creating custom execution environments for specialized hardware (NVIDIA GPUs TPUs).
CI/CD & Automation
Build robust CI/CD pipelines (GitHub Actions/Azure DevOps) that trigger automatic training or deployment based on code or data changes.
Automate the hand-off process between Data Scientists and production environments.

Position: MLOps EngineerCompany: WillWare TechnologiesLocation: BangaloreWork Mode: WFORequired Qualifications:Orchestration: Deep experience with Valohai (Preferred) Kubeflow Airflow or AWS SageMaker Pipelines. Model Lifecycle: Expert-level knowledge of MLflow for tracking experiments and managing ...