Senior Machine Learning Engineer

Job description:

**💻 Ework Group** 
- founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment 
- we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
🔹 For our Client we are looking for **Senior Machine Learning Engineer** 🔹
**Senior ML Engineer for Drug Development sector**
You will sit in a horizontal team of engineers supporting multiple data science teams and ML initiatives across the company's Drug Development. The client is building a machine learning platform based on the Azure Cloud using AzureML and Databricks as technologies. This platform will be the foundation of your work, and you will be onboarding projects and building their machine learning workflows on this platform.
Because you sit in **horizontal team with many stakeholders, people skills and abilities to effectively communicate are highly important.** As our corporate language is **English**, we expect you to be fluent in both its written and spoken form.
**✔️ Responsibilities include:**
* Operate the life cycle of source-code, data, and models provided by data scientists, referred to as the machine learning life cycle.
* Build and operate the machine learning life cycle on platforms by internal providers and bridge the gap between data science and IT infrastructure.
* Build a foundation of best-practices, templates, and project accelerators for machine learning operations using software engineering and software design principles.
* Educate data scientists about the machine learning life cycle and act as a sparring partner.
* Enable data scientists to be independent and allow them to integrate into the machine learning life cycle in a self-service manner.
* Serve multiple teams and projects across the organization.
* Guide and mentor junior team members.
* Enable the company to effectively harness machine learning and help them innovate how clinical trials are conducted and analyzed.
**✔️ Qualifications:**
* Software engineering principles and practices.
* Statistics and machine learning.
* Systems design, containerization, and distributed computing.
* Python
* DevOps, CI/CD, and software testing.
* Stakeholder management and communication.
* Experience with Azure Machine Learning and Databricks is a plus
* Fluent in spoken and written English
The position is based in Poland and involves working remotely in a global environment.
**✔️ About the Department:**
Your team is within the AI & Analytics department and is part ofthe company's Data Science division in Drug Development.
Here we apply sophisticated algorithms and machine learning to some of the hardest problems in the discovery and development of new healthcare solutions.
**✔️ We offer:**
* B2B agreement
* Transparent working conditions with both Ework and the client
* Current support during our cooperation
* Possibility to work in an international environment
* Collaborative environment in Swedish organizational culture
* Private medical care
* Life insurance
* Multisport
* Teambuilding events
Contact person: nicola.urbanska@eworkgroup.com
Client code: HNN01
Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com
Whistleblowing Policy, which provides guidelines for reporting misconduct can be found on Ework website: https://www.eworkgroup.com/about-us/our-responsi