The Opportunity
As a Data Scientist / Machine Learning Engineer on our team, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modeling techniques. You'll analyze structured and unstructured data, establish automated processes for large-scale modeling, perform exploratory analysis, and collaborate with peers on data acquisition and exploration, demonstrating a strong sense of ownership and urgency.
Responsibilities
1. Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;
2. Come up withsolutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;
3. Establish efficient, automated processes for large-scale modeling;
4. Become part of a highly skilled and geographically distributed team;
5. Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;
6. Strong senseof ownership, urgency and drive.
Qualifications
7. Relevant experience in data science/ machine learning development
8. Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.
9. Proficiency in Python.
10. Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).
11. Strong understanding of machine learning algorithms, processes, tools and platforms.
12. Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow.
13. Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work)
14. Ability to work on distributed cloud platforms
15. Fluent English
Bonus Points:
16. Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow.
17. Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work)
Why Poatek / WillowTree?
In addition to being part of an international and innovative consultancy company, you will have:
18. Flexible hours and autonomy
19. Work with cutting edge technologies
20. Partner with global and relevant brands in the market
21. Collaborative team and learning ecosystem
22. Career development plan & growth
23. Internacional travel opportunities (optional)
Some of our benefits:
24. Health and dental plan
25. Life insurance
26. Monthly voucher for meals, culture, education, health and mobility
27. Child care assistance and more!