FactoryPal
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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VEVeeva Systems
Senior Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Leveraging genAI for web research and task automation in AWS/GCP. Production deployment and genAI framework experience required. Fitness reimbursement, charitable giving program.
Requirements
- Ability to take ideas into production at scale
- Experience in genAI frameworks and agentic development
- Experience with asynchronous and batch APIs
- Professional software development skills
- Python programming skills
- Excellent debug abilities
- Cloud development experience
- Machine Learning Engineer experience
- Up-to-date knowledge of ML innovations and frameworks
- Infrastructure automation and provisioning experience
- Professional in ML Operationalization
- Data Engineering skills
- Data pipelines and ETLs experience
- Containerization experience
- Kubernetes experience
- Distributed computing experience for training and inference
- Strong collaboration skills
- Good verbal and written communication skills
- Experience in life/health science industry
- Big data technologies experience
- Vector databases experience
- NoSQL experience
- Familiarity with architectural choices for ML systems
- Crawling/Webscraping experience
- AI tools for crawling/webscraping experience
Tasks
- Leverage genAI for web research and task automation
- Build scalable, cost-efficient, and fault-tolerant solutions in AWS or GCP
- Design, integrate, and optimize end-to-end AI pipelines
- Develop and manage ML infrastructure
- Develop and manage CI/CD pipelines for data products
- Provide engineering mentorship to data scientists
- Collaborate with ML engineers, data engineers/scientists, product, and operations teams
- Partner with data quality teams to develop data annotation pipelines
- Partner with data quality teams to develop data evaluation pipelines
- Partner with data quality teams to develop monitoring solutions
- Partner with data quality teams to develop dashboards
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
- Terraform
- Kubernetes
- Spark
- Vector databases
- NoSQL
Benefits
Social Impact
- Veeva charitable giving program
Healthcare & Fitness
- Fitness reimbursement
Other Benefits
- Life insurance
Retirement Plans
- Pension fund
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Veeva Systems and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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VEVeeva Systems
Senior Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Leveraging genAI for web research and task automation in AWS/GCP. Production deployment and genAI framework experience required. Fitness reimbursement, charitable giving program.
Requirements
- Ability to take ideas into production at scale
- Experience in genAI frameworks and agentic development
- Experience with asynchronous and batch APIs
- Professional software development skills
- Python programming skills
- Excellent debug abilities
- Cloud development experience
- Machine Learning Engineer experience
- Up-to-date knowledge of ML innovations and frameworks
- Infrastructure automation and provisioning experience
- Professional in ML Operationalization
- Data Engineering skills
- Data pipelines and ETLs experience
- Containerization experience
- Kubernetes experience
- Distributed computing experience for training and inference
- Strong collaboration skills
- Good verbal and written communication skills
- Experience in life/health science industry
- Big data technologies experience
- Vector databases experience
- NoSQL experience
- Familiarity with architectural choices for ML systems
- Crawling/Webscraping experience
- AI tools for crawling/webscraping experience
Tasks
- Leverage genAI for web research and task automation
- Build scalable, cost-efficient, and fault-tolerant solutions in AWS or GCP
- Design, integrate, and optimize end-to-end AI pipelines
- Develop and manage ML infrastructure
- Develop and manage CI/CD pipelines for data products
- Provide engineering mentorship to data scientists
- Collaborate with ML engineers, data engineers/scientists, product, and operations teams
- Partner with data quality teams to develop data annotation pipelines
- Partner with data quality teams to develop data evaluation pipelines
- Partner with data quality teams to develop monitoring solutions
- Partner with data quality teams to develop dashboards
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
- Terraform
- Kubernetes
- Spark
- Vector databases
- NoSQL
Benefits
Social Impact
- Veeva charitable giving program
Healthcare & Fitness
- Fitness reimbursement
Other Benefits
- Life insurance
Retirement Plans
- Pension fund
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Veeva Systems and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Veeva Systems
Industry
Pharmaceuticals
Description
The company is a pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.
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