Machine Learning Operation-ML Ops

About Us:

• Ola Silicon is a cutting-edge technology company specializing in data-driven solutions and
• machine learning. We are seeking a highly skilled and motivated Machine Learning Engineer to
• join our Data Science Team. This role is crucial in bridging the gap between data scientists, data
• engineers, and production systems, ensuring the smooth deployment and operationalization of
• machine learning models.
• :
• As a ML Ops you will be responsible for deploying, operationalizing, and optimizing fine-tuning and scaling ML/Deep Learning models in production. Your role will
• encompass the following key responsibilities:

Key Responsibilities:

• Deploying Scaling ML Models, in particular, implementing:
• ● Model hyperparameter selection.
• ● Model evaluation and explainability.
• ● Model workflows from onboarding, and operations to decommissioning.
• ● Model version tracking & governance.
• ● Data archival & version management.
• ● Model and drift monitoring.
• ● Deploying and scaling the DL Models.
• Creating and using benchmarks, metrics, and monitoring to measure and improve
• services.
• Providing best practices and executing POC for automated and efficient model
• operations at scale.
• Designing and developing scalable MLOps frameworks to support models based on
• client requirements.
• Collaborating closely with Data Scientists and Data Engineers in the Data Science Team
• from project inception.
• Qualifications:
• To be a successful candidate for this role, you should possess the following qualifications:
• ● Experience with container technologies (Docker, Kubernetes, EKS, ECS).
• ● Familiarity with any cloud providers (AWS, GCP, Azure, etc).
• ● Proficiency in distributed computing.

Must have tech stack:

Python, MLOps tools like MLFlow, Kubernetes, SQL, Docker, Bentos, Ray, Anyscale, GuardRails