sharing the costs of sports activities
Senior Machine Learning Engineer (Computer Vision)
Digital Hub Warsaw at Bayer
20 000–26 000 zł gross / mth.
- Aleje Jerozolimskie 158, Ochota, WarszawaWarszawa, Masovian
- offer expired 3 months ago
- contract of employment
- full-time
- senior specialist (Senior)
- hybrid work
- remote recruitment
- запрошуємо працівників з України
- Робота для іноземцівбез польської
Запрошуємо працівників з України
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Digital Hub Warsaw at Bayer
Aleje Jerozolimskie 158
Ochota
Warszawa
Technologies we use
Expected
AWS
GCP
TensorFlow
PyTorch
Python
Machine Learning
Computer Vision
Optional
Terraform
Infrastructure as Code
Operating system
About the project
Projects involve scaling up, deploying AI & Data solutions and creating the necessary data foundations to make the world a better and more efficient place.
You will join an energetic team of data scientists and other machine learning engineers working across disciplines from Computer Vision to working with patient Real World Evidence data and others.
The role is hands-on with coding (both infrastructure as code and solution code), solution orientated, able to analyze data, explore and try out new technologies and concepts. You can present your results and outline potential solutions for deployment to the business.
Your responsibilities
Drive and lead business and innovation projects in the areas of computer vision and medical imaging to design and implement AI & Data solutions, i.e., fit-for-purpose AI and data solutions which are embedded into digital products
Technically lead projects, other (junior) ML Engineers and Data Scientists applying an agile approach
Lead scaling up activities transforming data science prototypes to end to end solutions embedded in business processes by applying hands-on cloud engineering and leveraging skills across a large IT unit working with Business Domain Expert in their daily work.
Leads and implements data engineering, data modeling, and AI and data infrastructure tasks in a cloud native manner.
Leads and implements the deployment of machine learning (ML) / deep learning (DL) models and helps improve existing ML/DL models in production.
Design and Implement Cloud based Architectures ready to host ML models and pipelines.
Establish strong link with stakeholders in the business to help shape and execute the digital agenda strategy.
Create opportunities for digital product development by identifying pain points in the business to improve efficiency and decision making.
Collaborates with scientists and analysts performing business analysis and domain modeling.
Publish innovative methodologies, architectures and scientific discoveries in peer reviewed journals.
Our requirements
Bachelor with long term experience, Master with long term experience or PhD with several years of industry experience in machine learning, statistics, applied mathematics, or computer science, with strong knowledge of machine learning and cloud engineering
Strong track records leading & implementing the delivery of groundbreaking machine learning or data projects.
Basic level knowledge in statistical Machine Learning and/or Deep Learning, particularly in Computer Vision is a plus
Strong experience in Data Engineering (connecting to new data sources, storing the data in the Cloud, choose the right storage engine and transforming and cleaning the data)
Very good knowledge of Cloud native application architecture and being able to create ML solutions in the Cloud
Very good software engineering knowledge in Python, familiar with at least one Cloud framework (e.g., AWS, GCP or Azure) as well as proficiency with machine learning and deep learning frameworks such as TensorFlow or PyTorch
Strong business analyst skills and strong experience interacting with very diverse customers is required
Strong skills in presentation of results and outlining of solutions to the business
Ability to work in an interdisciplinary and agile environment
Fluent in English both written and spoken
This is how we organize our work
This is how we work
- in house
- you have influence on the choice of tools and technologies
- you have influence on the technological solutions applied
- agile
- scrum
- kanban
This is how we work on a project
Clean Code
code review
Development opportunities we offer
development budget
external training
intracompany training
space for experimenting
substantive support from technological leaders
support of IT events
technical knowledge exchange within the company
What we offer
A flexible, remote-hybrid work model
Great workplace in a new modern office in Warsaw
Career development, 360° Feedback & Mentoring programme
Wide access to professional development tools, trainings, & conferences
Company Bonus & Reward Structure
VIP Medical Care Package (including Dental & Mental health)
Holiday allowance (“Wczasy pod gruszą”)
Life & Travel Insurance
Pension plan
Co-financed sport card - FitProfit
Meals Subsidy in Office
Budget for Home Office Setup & Maintenance
Benefits
private medical care
sharing the costs of foreign language classes
life insurance
remote work opportunities
flexible working time
dental care
retirement pension plan
pre-paid cards
Bayer is an Equal Opportunity Employer. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s).
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
We kindly inform that we will only contact selected candidates.
Bayer welcomes applications from all individuals regardless of race, national origin, gender, age, physical characteristics, social origin, disabilities, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression, or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Please send your CV in English
Digital Hub Warsaw at Bayer
At the Heart of the Digital Hub Warsaw at Bayer lies the agile culture and mindset. Its philosophy and principles are in our DNA and drive the growth and the heartbeat of our organization in order to build and expand the DHub across all six functional divisions: Crop Science, Cyber Security & Risk Management, Consumer Health, Pharma, Enabling Functions and Enterprise Platforms & Innovation. To allow our organization to thrive and grow we embrace a culture of open leadership, people empowerment, people development, diversity and innovation. This approach create a place where creative and innovative minds from the fields of data-science, cyber security software engineering and more, can come together, collaborate, and achieve great things. Here in Warsaw, you can think freely without entrenched hierarchical structures, artificial guidelines and boundaries - mirroring the work culture of a dynamic start-up.