Cloud Engineer for Advanced Analytics and MLOps
15 godzin temu
Holisticon Insight is a division of Nexer Group, focusing on IoT, AI, and advanced analytics. We provide our customers with IoT services, portals, and mobile apps, leveraging AI and advanced analytics to reduce costs and find new opportunities.
We aim to grow by enhancing our competencies rather than increasing numbers. Our dynamic company culture emphasizes collaboration and self-organized teams where every opinion matters.
Our Goal
To strengthen the Advanced Analytics team of our Swedish-based client, a leading provider of transport solutions. The team has been utilizing Databricks as an ML platform since one year ago and is currently migrating projects to the cloud (Databricks).
Your Role
You will work closely with Data Scientists, Data Engineers, and front-end developers in model development and deployment processes. Your key responsibilities include:
- Developing Machine Learning & MLOps pipelines using Databricks and/or AWS services according to our client's IT cloud setup.
- Collaborating with cross-functional teams in model development and deployment.
- Deploying Mathematical optimization Projects using Databricks and AWS services.
- Optimizing data science notebook codes to scalable and maintainable machine learning/software applications.
- Tracking and registering models in MLFlow.
Requirements
To succeed in this role, you should possess:
- 3+ years of experience as AWS Cloud/DevOps/MLOps Engineer.
- Proven experience with Python.
- Experience working in Agile methods, CI/CD, and DevOps.
- Cloud and ML platform experience - AWS (AWS Lake formation, Lambda, API Gateway, Fargate), Databricks.
- Knowledge on containers - Docker.
- Good knowledge of Software engineering best practices.
Benefits
By joining Holisticon Insight, you can expect:
- A choice of employment form: B2B or contract of employment.
- B2B: 120 – 158 PLN net/hour + VAT.
- Life insurance.
- Multisport card.
- Fully remote job.
- Private medical care.
- Flexible working hours.
- Training budget.
- Opportunity to impact our company culture build-up.
Our Recruitment Process
The process consists of:
- Initial interview with Julia, our recruiter.
- Technical interview with one of our technical interviewers.
- Interview with the client.
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