Senior/Staff Python Developer (Machine Learning Team)
Kraków
NR REF.: 1185521
Your new company
For our client, a company that provides SaaS products related to sales, customer support, and other customer communications, we are looking for a Senior/Staff Python Developer (Machine Learning Team).
Your new role
The team is responsible for developing tools and infrastructure needed through all phases of the ML model life cycle. From exploration and design to production deployment and maintenance. We are here to support ML teams in helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. The Client is looking for a Senior/Staff Python Developer to build the ML platform which provides robust infrastructure to transform models into products for 145,000+ customers. The ideal candidate will have experience as a software engineer or MLOps engineer, a desire to work in ML/AI domain and a deep interest in developing complex systems and automating the simple ones.
What you’ll be doing
- Build software to move machine learning from experiment to production
- Work closely with Data Science, ML Engineers and Product teams to build ML platform and to increase ML adoption across the company
- Actively contribute to discussions about technical designs and standards.
- Champion initiatives to improve the scalability and robustness of our platforms
- Design, prototype, and refine scalable infrastructure
- Build really cool products with a great team
What you'll need to succeed Basic Qualifications:
- At least 5 years building scalable and stable software applications
- Proficiency in at least one of our core languages: Python or Java
- Experience with AWS infrastructure
- Experience or knowledge of Docker and Kubernetes
- A self-managed and dedicated approach with the ability to work independently.
- Strong problem-solving capabilities as well as the flexibility (of working style) to deal with changing and conflicting priorities.
- Experience or knowledge of Infrastructure as Code tools (e.g. Terraform)
- Experience building and deploying machine learning models. Strong understanding of end-to-end machine learning pipelines and components.
- Familiarity with data engineering tools e.g. Spark
- Familiarity with AI/ML workflows and associated tooling. E.g. Sagemaker, ML Flow, Metaflow
Tech Stack
- Code is written in Python, Java, Scala and Go
- Servers live in AWS
- Team manages infrastructure using AWS CloudFormation, Terraform
- Data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora and streamed through Kafka
- Services are deployed to Kubernetes using Docker
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
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