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Internship : ML Operations Engineer

EgnytePoznań, Poland

Ponad 30 dni temu

Opis pracy

Description

POZNAN POLAND

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has a great impact, and every Egnyter should be respected. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values : Invested RelationshipsFiscal PrudenceCandid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 23,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit .Our AI Team enables Egnyte to enhance our product offerings through advanced AI solutions. As we expand our capabilities in AI Agentic Flows, the team is vital in innovating and implementing custom agents tailored to vertical-specific cases.

WHAT YOU’LL DO :

Utilize cutting-edge deployment and serving technologies to elevate the productivity and creativity of our engineering teams
Deploy and Manage ML Models : Assist (and in the future own) deployment of ML models and services on Google Cloud Platform, ensuring smooth operation and effective versioning.
Streamline Data Flow : Configure and manage data pipelines including API and Pub / Sub communication to facilitate seamless data ingestion and processing.
Ensure Security : Help manage permissions for data and models, maintaining compliance with security best practices.
Automate Workflows : Contribute to building CI / CD pipelines.
Monitor Performance : Set up observability solutions to track model performance and resource usage using Google Cloud Monitoring.
Containerize Applications : Learn to use Docker for containerizing ML applications, ensuring consistency across environments.
Orchestrate with Kubernetes : Engage in services configuration and scalability using Kubernetes, gaining hands-on experience with Google Kubernetes Engine (GKE).
Utilize Cloud Storage : Manage data storage effectively with Google Cloud Storage (GCS) for easy access to training datasets.

YOUR QUALIFICATIONS :

Understanding of Docker containerization, including how to create Docker images and manage containers to ensure consistent application environments.

Basic knowledge of Kubernetes or similar orchestration tools for managing containerized applications.

Problem-Solving Abilities : Strong analytical and problem-solving skills, with the ability to troubleshoot and optimize workflows.

Eagerness to Learn : A strong desire to learn and grow in the MLOps field, with a proactive attitude toward acquiring new skills and knowledge.

Familiarity with Cloud Platforms : Basic understanding of cloud services (preferably, Google Cloud Platform) and how they are used in deploying machine learning models.

Basic understanding of Python

BENEFITS :

Full-time internship for a period of 3 months (July - September) paid 5500 PLN / Civil contract

Depending on the course of internship and business needs we might offer possibility to continue this collaboration after the internship (we expect your availability at least 30h per week

A structured internship program tailored toward your abilities

An experienced buddy who will guide you through the process

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Ml Engineer • Poznań, Poland