Senior MLOps Engineer (pharma)
⚲ Warszawa
28 560 - 31 920 PLN netto (B2B)
Wymagania
- Machine Learning
- AWS
- IaC
- CI/CD
- Docker
- cloud-native Kubernetes
- kubeflow
- MLflow
- Amazon SageMaker
- Python
Opis stanowiska
For our client operating in the pharmaceutical industry, we are looking for a Senior ML Ops to work on enhancing and maintaining machine learning operations and infrastructure.
Work Mode: Remote from the territory of PolandExpectations
• 4+ years of experience in Git, Linux fundamentals, and Bash scripting
• 4+ years of experience in Python programming
• Strong experience with container concepts: Docker & Kubernetes
• Strong experience in designing & implementing Continuous Integration / Continuous Delivery pipelines (e.g., GitLab, Argo CD)
• Strong experience in infrastructure automation: Configuration Management, Infrastructure as Code (e.g., Ansible, Terraform, AWS CloudFormation)
• Strong experience with cloud infrastructure & services (AWS, GCP, Azure)
• Strong experience with cloud-native Kubernetes services (e.g., Amazon EKS, GKE, AKS)
• Experience with monitoring, logging, and alerting tools
• 1+ year of experience in any of the Machine Learning areas (e.g., Computer Vision, NLP, Predictive Modelling)
• 1+ year of experience in the productisation of Machine Learning solutions
• 1+ year of experience working with MLOps tools (e.g., MLflow, Kubeflow, Amazon SageMaker)
• Good understanding of Data Science basics (e.g., train/test model data sets, overfitting, classification, clustering)
• Understanding of DevOps concepts and Agile practices
• Experience in working with software development teams on a daily basis
• Superior troubleshooting approach
• Good communication skills
• English at least at B2 level
We offer
• Ongoing support from a dedicated agent, taking care of your project continuity, client contact, necessary formalities, work comfort and development,
• Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors,
• Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle,
• Spectacular integration events, both for you (e.g., annual Kick-Off trip, Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres),
• Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients,
• Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years,
• A complete benefits package, including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad.
Work Mode: Remote from the territory of PolandExpectations
• 4+ years of experience in Git, Linux fundamentals, and Bash scripting
• 4+ years of experience in Python programming
• Strong experience with container concepts: Docker & Kubernetes
• Strong experience in designing & implementing Continuous Integration / Continuous Delivery pipelines (e.g., GitLab, Argo CD)
• Strong experience in infrastructure automation: Configuration Management, Infrastructure as Code (e.g., Ansible, Terraform, AWS CloudFormation)
• Strong experience with cloud infrastructure & services (AWS, GCP, Azure)
• Strong experience with cloud-native Kubernetes services (e.g., Amazon EKS, GKE, AKS)
• Experience with monitoring, logging, and alerting tools
• 1+ year of experience in any of the Machine Learning areas (e.g., Computer Vision, NLP, Predictive Modelling)
• 1+ year of experience in the productisation of Machine Learning solutions
• 1+ year of experience working with MLOps tools (e.g., MLflow, Kubeflow, Amazon SageMaker)
• Good understanding of Data Science basics (e.g., train/test model data sets, overfitting, classification, clustering)
• Understanding of DevOps concepts and Agile practices
• Experience in working with software development teams on a daily basis
• Superior troubleshooting approach
• Good communication skills
• English at least at B2 level
We offer
• Ongoing support from a dedicated agent, taking care of your project continuity, client contact, necessary formalities, work comfort and development,
• Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors,
• Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle,
• Spectacular integration events, both for you (e.g., annual Kick-Off trip, Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres),
• Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients,
• Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years,
• A complete benefits package, including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad.
🔍 Dekoder Ogłoszenia
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Senior MLOps Engineer (pharma)
Stanowisko 'Senior' może oznaczać dużą odpowiedzialność i samodzielność, ale także potencjalnie brak wsparcia ze strony bardziej doświadczonych kolegów.
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enhancing and maintaining machine learning operations and infrastructure
Może oznaczać zarówno rozwijanie nowych rozwiązań, jak i głównie utrzymywanie istniejącej, potencjalnie przestarzałej infrastruktury.
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1+ year of experience in any of the Machine Learning areas
Wymagane jest tylko minimalne doświadczenie w ML, co może sugerować, że główny nacisk kładziony jest na aspekty MLOps, a nie głębokie ML.
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Good understanding of Data Science basics
To ogólne stwierdzenie może oznaczać potrzebę podstawowej wiedzy, a niekoniecznie głębokiego zrozumienia zaawansowanych koncepcji.
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Superior troubleshooting approach
Oczekuje się od kandydata umiejętności samodzielnego rozwiązywania problemów, co może oznaczać częste występowanie trudnych błędów.