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A new company, with the energy of a startup but as part of The Cronos Group. With more than 500 companies, 7,500 employees, 10,000 customers and offices in 10 countries, this organization is a catalyst in translating new technologies into business solutions, always in close collaboration with the customer. Luza is specialized in Microsoft Modern Workplace, Dynamics 365, Azure and Power Platform.
We are seeking a highly skilled and experienced Senior Data Scientist / Senior ML Ops Engineer to join our team. This position plays a crucial support role in managing and resolving questions and issues related to one of our newly developed AI/ML applications.
This position will have a crucial support role in handling questions / support for one of the new applications.
Candidate will be responsible to analyse and identify issues in the newly developed AI/ML application.
Candidate will also be responsible to coordinate the resolution with other (technical and functional) teams.
Candidate will collaborate with business stakeholders to explain the issues in a non-technical manner and the path to resolution.
Ensures quality resolutions and implementations according to the CI/CD process focused around Jenkins, Domino and Sonarcube.
Focus on following technologies & methodologies: Pandas / pyspark / Dash / kedro / yml / sql queries through Python / modeling / feature selection / model validation.
Requirements
Impeccable professional proficiency in English.
7+ years of experience in building and/or maintaing python based ML/AI solutions and data pipelines.
Candidate must have excellent python coding skills to quickly identify issues and work towards a resolution.
High level of expertise in above mentioned technology & methodology stack.
Flexibility in working accross timezones, i.e. willing to shift working hours to accomodate meetings outside of regular working hours.
Experience in working with productivity tools like JIRA / XRAY / Confluence.
Nice to have
Experience in working in a global, complex, multinational organisation in a team spread accross timezones.
Prior exposure to the Pharmaceutical Industry and/or heavily regulated environment.
Scientific Degree/PhD in any pharmaceutical / lifesciences field.
Basic commercial insight as a consultant.
Benefits
Remote work
Food ticket
Health insurance
Training and access to certification vouchers
Work-life balance initiatives
Referral program
Birthday off
Give back day – enjoy a day to give back to society!
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.