Machine Learning Engineer

Covestro AG
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Job Description

We are Covestro. We are curious. We are courageous. We are colorful. We refined Chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18.150 colleagues now and together we will make the world a brighter place.

WHAT WE OFFER

Position

Machine Learning Engineer

Position Purpose

  • To scale internally developed machine learning solutions and ensure availability and usability of the developed deployment architecture.
  • To support data science applications on data preparation, hardware and software setup and script programming of R&D data analysis tasks.
  • To participate in model building in close collaboration with Data Scientists. 
  • Geographischer Umfang 
  • Region

Major Tasks and Responsibilities

  • Collaborate with Data Scientist to set up and bring machine learning solutions to life and production them on the developed deployment architecture 
  • Understanding and ability to operate on the developed deployment architecture 
  • Responsible for solving challenges in the machine learning development cycle, especially around distributed training in the cloud and data engineering 
  • Responsible for keeping the existing models up to date, tracking model degradation, setting up autonomous retraining mechanisms and manually retrain the model 
  • Manipulate and harmonize data (structured, semi- and unstructured) from various sources to speed up model building process
  • Responsible to define and drive the development of an efficient micro-service 
  • architecture solution
  • Responsible for defining and ensuring adherence to standards and best practices
  • for the machine learning lifecycle at Covestro R&D department 

Value Contribution

Increased productivity of R&D and Digital R&D by completing of data preparation, data protection processing and programming tasks and, as a result, support for the objective of R&D APAC to increase the efficiency and speed of product development by time - and resource-intensive laboratory screening is replaced by computer-aided formulation development and new / alternative solutions for formulation development are found.

Contribution Context

Individual 

Team Member (APAC Digital R&D) 

Work Relations

Other teams of R&D/P&T-APAC 

Covestro IT 

Covestro AG/LLC 

APAC partners/customers

Qualifications

  • University degree in AI/ML, mathematics, computer science, software engineer, computational engineering or comparable, advanced degree preferred. 
  • >2 years experience in the machine learning engineering domain
  • >1 years experience in setting up machine learning deployment architectures and have knowledge of Kubernetes, Docker, serverless computing and the offerings of the big 
  • cloud providers. 
  • Have knowledge with tools and frameworks like Hadoop, Kafka, Spark – or their respective cloud service equivalent -, with SQL and noSQL databases as well as with edge computing. 
  • Have experience with programming/scripting languages like bash, perl, ruby, python and R 
  • Have experience of visualization techniques, e.g. matplotlib , seaborn, shiny, flask, dash, etc. 
  • Have experience of web and application development. 
  • Proactive work attitude and initiative. 
  • Confident language skills in Chinese and English, both written and spoken, and open to working in an international working environment.
  • Non-Financial Magnitudes

The position holder carries out complex technical tasksin data analysis and data sciencein the field of research and development of Covestro.These include: preparation and formatting of data, visualization of data, configuration andmaintenance of HardwareandSoftware for data analysis,preparation of data analysis.After receiving initial instructions, the job holder should mostlycarry outthese tasks independently and largely independently.To fulfill these tasks (special knowledge necessarystatistics, data modeling, Programming,knowledge of configurationof hardware and software).The job holder is responsible forthe quality of the data to be analyzedand should beableto checkthe results for fundamental errors / problemsand to prepare the output for further evaluation by the superior.It is expectedthatthe post holderinterestand theabilityproves to acquire new skills as needed to achieve the objectives and responsibilities of the position.

WHAT YOU OFFER

  • The incumbent is a statistician or data manager with extensive, professional and academic experience in relevant fields. Key, competencies needed by the candidate include the following
  • Proven leadership, motivational and interpersonal skills
  • Proven people management experience
  • In-depth understanding of the drug development and biostatistics, and data management science with a base of experience of 8+ years in, drug development
  • Must provide clear vision, direction, and purpose in the, different cultures present within the Global Clinical Development, Organization
  • Incumbent must embrace change and be able to work in a changing, environment with a focus of continuous improvement activities
  • Strong communication skills to ensure that project plans and, status are transparent, and that risks, issues, and results are clear to, all involved parties. A matrix structure requires additional skills in, gathering decision information, negotiation and communicating decisions, and Action
  • Executes his/her responsibilities with knowledge, accuracy, persistence, resilience and creativity seeking to work both, independently and collaboratively

YOUR APPLICATION

Are you as curious, courageous and colorful as we are If so, we can offer you an exciting career opportunity. We look forward to receiving your application including a cover letter, resume/CV, and relevant certificates. Become part of our Team - apply now!

Company Info.

Covestro AG

Covestro AG is a German company which produces a variety of polyurethane and polycarbonate based raw materials. Products include isocyanates and polyols for cellular foams, thermoplastic polyurethane and polycarbonate pellets, as well as polyurethane based additives used in the formulation of coatings and adhesives.

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