We offer a B2B Contract: 130 – 158 PLN net/hour + VAT
🚀 We are looking for an 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 MLOps Engineer you will:
According to our client's IT's cloud setup, customize and develop Machine Learning & MLOps pipelines with an aid of Databricks and/or AWS services.
Collaborate with Data Scientists, Data Engineers, and front-end developers in model development and deployment processes.
Deploy Mathematical optimization Projects with an aid of Databricks and AWS services.
Optimize and/or refactor data science notebook codes to scalable and maintainable machine learning/software applications.
Track, Experiment and register the models in MLFlow.
Optimize and/or refactor data science notebook codes to a scalable and maintainable machine learning/software applications.
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:
3+ years of experience as MLOps Engineer
Proven experience with Python and MLFlow
Experience working in Agile working methods, CI/CD, and DevOps
Preferable cloud and ML platform experience - AWS (AWS Lake formation, Lambda, API Gateway, Fargate),
Experience working with Databricks
Knowledge on containers - Docker
Good knowledge of Software engineering best practices
Excellent English communication skills
🙌 Nice to have:
Expertise in advanced concepts of MLFlow
Knowledge of Machine learning algorithms
Previous experience in Kubeflow & Seldon Core or similar
Tech stack (good to be aware of, but not mandatory): Glue Catalog, Snowflake, PowerBI, Spark
By joining Holisticon Insight you will get:
Our recruitment process consists of the following steps:
Initial interview with Julia, our recruiter - 30 minutes
Technical interview with one of our technical interviewers - 45 minutes
Interview with the client - 1 hour
You will earn: