Data dodania: 2024-09-20
Innsyte: Junior MLOps Engineer
About us
We are a fast-growing AI consultancy company, focused on delivering innovative machine learning solutions. As a lean and agile team, we prioritize flexibility, creativity, and hands-on learning over corporate formalities. Here, you’ll have the opportunity to be involved in the broader startup environment, gaining insight into how a company operates and grows from the ground up.
We are looking for a strong coder (Python is preferred) who is keen to learn or polish their MLOps skills.
If you're passionate about learning on the go, solving real problems, and eager to build your MLOps expertise on Azure, this role offers a unique chance to grow. Here, you'll get immediate exposure to all aspects of the MLOps lifecycle in a collaborative, startup environment where your contributions make a real impact from day one.
What you'll be doing
We do not expect you to be proficient in the below mentioned tools - we expect you to be ready to learn them based on your knowledge of computer science concepts.
- Deploying AI and machine learning models on Azure, ensuring smooth and efficient transition from development to production,
- Building and managing cloud infrastructure on Azure, including setting up virtual machines, storage accounts, and networking required for AI workloads,
- Leveraging Azure tools such as Azure AI, Azure ML, Azure Kubernetes Service (AKS), and Azure Functions to enable scalable and robust AI solutions,
- Writing and maintaining infrastructure-as-code scripts (using tools like Terraform or Azure Resource Manager templates) to automate the deployment and management of Azure resources,
- Troubleshooting issues related to infrastructure and continuously improving systems for reliability and efficiency,
- Have a possibility to engage in overall startup activities, gaining exposure to various aspects of the business and learning beyond your core role.
This role is perfect for someone who is excited about learning the ins and outs of AI model deployment on Azure and wants to gain real-world experience building cutting-edge applications in a startup environment.
What we expect
- Strong Python coding skills,
- Strong willingness to work with and learn Microsoft Azure - this role will be heavily focused on Azure cloud services, and a commitment to becoming proficient in this platform is a must,
- Foundational understanding of computer science concepts, including data structures, algorithms, networking, and databases,
- Basic knowledge of machine learning and the lifecycle of ML models (training, deployment, monitoring),
- English at min. B2,
- A willingness to participate in additional activities beyond your main responsibilities, contributing to the dynamic startup environment.
What we offer
- A unique learning opportunity: as a small, dynamic AI consultancy startup, you'll have the chance to turn your theoretical knowledge into real-world, practical skills by working on diverse and challenging projects,
- Comprehensive AI mentoring experience: working closely with experts in AI, both from technological and managerial perspectives, providing a strong foundation in how an AI consulting company operates and grows,
- Hands-on experience with Azure: you’ll gain deep expertise in Azure cloud technologies, focusing on deploying and managing AI applications in a real-world environment,
- Exposure to cutting-edge AI: work with the latest AI and machine learning technologies, gaining practical experience with end-to-end model deployment and scaling,
- Salary: 6,000 - 8,000 PLN gross, to be discussed and refined based on your experience and qualifications,
- Contract type: Civil contract / B2B agreement
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2024-12-19
Życzenia
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2024-12-13
Dzień rektorski w dniu 3 stycznia 2025
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2024-12-04
Płatny staż w firmie Franklin Templeton