Machine Learning Engineer
Python
Machine Learning Engineer
GlobalLogic
Kraków
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Office
Tech stack
AI
Machine Learning
Python
AWS / Cloud
Job description
We are looking for Machine Learning Engineer who desires to work on Agile development for SAAS solution that provides customers with the ability to manage payments to third-party lawyers and law firms. Main clients are top American insurance companies, so this work is focused on the US market. The software allows to take control of legal expenses and improve litigation management process.
Requirements
- Good understanding of Machine Learning algorithms and problems
- Advanced skills in Python (production level programming)
- Basic skills and experience in both Relational and NoSQL databases
- An eye for details and identifying problems
- Readiness for business trips to the US
Nice to have
- Experience with AWS cloud
- Experience in Machine Learning
- Experience in using Jupyter Notebook
- Practical experience with Agile/SCRUM methodologies and practice
Responsibilities
- Analyze requirements
- Design applications functionalities
- Implement design
- Collaborate with customer's engineers and teams in Kharkiv/Kyiv/Krakow/US
- Work closely with AWS consultant, learn from him and be ready to apply that knowledge in practice
We Offer
- Exciting Projects: With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
- Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
- Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.
- Professional Development: We develop paths suited to your individual talents through international knowledge exchanges and professional certification opportunities.
- Excellent Benefits: We provide our employees with private medical care, sports facilities cards, group life insurance, travel insurance, relocation package, food subsidies, and cultural activities.
- Fun Perks: We want you to feel comfortable in your work, which is why we create a good working environment with relax zones, host social and teambuilding activities and stock our kitchen with delicious teas and coffees!