DevOps/ MLOps Engineer (Azure) in Connectis_

Together with our Partner, a dynamically developing organization in the insurance industry, we are looking for a person for the position of DevOps/MLOps Engineer.

The specialist will cooperate with the department dealing with data processing for the entire insurance group. The project focuses on implementing machine learning to reduce data preparation time.

We offer:

• Possibility to participate in integration meetings and technology meetups, where you will be able to share knowledge and experience,
• Support of an individual HR advisor human resources and HR, who is always available to help you with work-related matters,
• Work in a hybrid model (4 days remotely, 1 day from the office / week in Warsaw or Gdańsk)
< li> Stable and long-term employment in a company with an established position on the market,
• PLN 5,000 for recommending a friend to any of our projects,
• Any form of cooperation: B2B, UoP or UZ - you you decide
• Fast, remote recruitment process.

If you are ready to take on the challenge in a dynamic environment and bring value to a growing insurance project, we look forward to your application! Join our team where innovation and professionalism go hand in hand.

RECRUITMENT PROCESS: 1. Initial 10-minute telephone interview on the Connectis side, 2. Interview with the HR department on the Connectis side, 3. Technical interview on the Client's side - DECISION!

• Minimum of 4 years of commercial experience in a  DevOps/MLOps role ,
• Experience supporting real-time inference scenarios using  Azure Machine Learning and AKS
• Knowledge of tools, methods and frameworks used by data scientists (e.g. PyTorch and TensorFlow < /b>)
• Deep knowledge of software development and engineering combined with ML models,
• Experience using popular MLOps frameworks such as  MLFlo ,
• Knowledge of object-oriented programming in Python and other languages,
• Experience in creating AML , Databricks, Dataiku and API management

Together with our Partner, a dynamically developing organization in the insurance industry, we are looking for a person for the position of DevOps/MLOps Engineer .

The specialist will cooperate with the department dealing with data processing for the entire insurance group. The project focuses on implementing machine learning to reduce data preparation time.

We offer:

• Possibility to participate in integration meetings and technology meetups, where you will be able to share knowledge and experience,
• Support of an individual HR advisor human resources and HR, who is always available to help you with work-related matters,
• Work in a hybrid model (4 days remotely, 1 day from the office / week in Warsaw or Gdańsk)
< li> Stable and long-term employment in a company with an established position on the market,
• PLN 5,000 for recommending a friend to whomlion from our projects,
• Any form of cooperation: B2B, UoP or UZ - you decide
• Fast, remote recruitment process.

If you are ready to take on the challenge in a dynamic environment and bring value to a growing insurance project, we look forward to your application! Join our team where innovation and professionalism go hand in hand.

RECRUITMENT PROCESS: 1. Initial 10-minute telephone interview on the Connectis side, 2. Interview with the HR department on the Connectis side, 3. Technical interview on the Client's side - DECISION!

,[Responsible for the entire functionality lifecycle - from development and unit testing to implementation and integration testing,, Developing and sharing best practices for ML engineering tasks with the internal MLOps community,, Expert advice on MLOps good practices, leveraging existing Azure cloud infrastructure,, Implementation of solutions for operation, monitoring and notification for implemented and tested pipelines, Design and integration of MLOps workflow using the Dataiku plug-in, Creation and automation of CI/CD pipelines in Azure DevOps] Вимоги: Python, DevOps, MLOps, Azure, Machine learning, PyTorch, TensorFlow, Databricks, API Бонуси та переваги: ​​Sport subscription, Private healthcare, International projects.