ML MLOps Engineer
2 tygodni temu
PLN net/month on B2B
Fully remote job
A cloud migration project in the Advanced Analytics Team of Swedish-based leading provider of transport solutions
Insight is a division of focussed on IoT, AI and advanced analytics.
We assist our customers in developing IoT services, portals, and mobile apps and, above all, analyze data using AI and advanced analytics to reduce costs, streamline and find new opportunities for the business. Our goal is to grow strong but rather in competencies than in numbers. We get things done and, on the way, we build a dynamic company culture to create the best place for our development. We love the atmosphere of a family business with its flat structure and self-organized teams where every opinion matters and influences our way of working.
Check us out
We are looking for a Machine Learning (MLOps) Engineer who is skilled in AWS and/or software engineering to aid Data scientists. You will further strengthen the Advanced Analytics team of our client, a Swedish-based leading provider of transport solutions The team has been implementing Databricks as an ML platform since one year back, and is currently in the midst of migrating all of our projects to the cloud (Databricks).
In the role of Machine Learning (MLOps) Engineer you will:
- Collaborate with Data Scientists, Data Engineers, and front-end developers in model development and deployment processes.
- Optimise and/or refactor data science notebook codes to scalable and maintainable machine learning/software applications.
- Track, Experiment and register the models in MLFlow.
- According to the client's cloud setup, customize and develop Machine Learning & MLOps pipelines with the aid of Databricks and/or AWS services.
- Write unit, integration, and end-to-end tests to ensure the robustness of the models being developed & deployed.
You might be the perfect match if you possess the following competencies:
- Software engineering best practices
- Proven Python experience
- Spark, MLFlow
- Agile working methods, CI/CD, and DevOps
- Preferable cloud and ML platform - AWS, Databricks
- Docker, Kubernetes, or Kubeflow
Nice to have:
- Expertise in advanced concepts of MLFlow
- Knowledge of Machine learning algorithms
- Expertise in AWS Services and/or Databricks.
- Previous experience in Kubeflow & Seldon Core or similar
Tech stack (good to be aware of, but not mandatory)
- Databricks
- AWS Lake Formation
- Glue Catalog
- Snowflake
- PowerBI
By joining Nexer Insight you will get:
- PLN net/month on B2B
- Life insurance
- Multisport card
- Fully remote job
- Private medical care
- Flexible working hours
- B2B or contract of employment
- Amazing integration events on a regular basis
- Training budget (e.g. Microsoft Azure Certifications)
- Opportunity to impact our company culture build-up
- Work equipment (laptop, 2 monitors, and accessories)
Our recruitment process consists of the following steps:
- Initial interview with Julia, our recruiter - 30 minutes
- Technical interview with one of our technical interviewers - 30 minutes
- Interview with the client - 1 hour
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