Machine Learning Engineer
Machine Learning Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
We are looking for an enthusiastic and motivated Machine Learning Engineer (Mid / Senior level) who would like to develop their skills at a SaaS company.
The team works cross-functionally with all areas of the business. As part of the ML Team you will report to our ML Team Lead and work together to streamline and operationalise the deployment of Machine Learning and AI products.
You will be involved in every aspect of the process - from idea generation business analysis and technical design to software development across various technologies. Its fun you get closer to the business and know more about what they do not just how.
Qualifications :
- BS or MS in Computer Science Mathematics Machine Learning or a related technical field
- 2 years of industry experience in the area of Machine Learning Engineering and Data Science
- Familiarity with key Machine Learning concepts and understanding of ML models lifecycle
- Advanced skills in Python and SQL
- Experience with Generative AI LLM and Langchain / Google ADK
- Strong analytical and excellent problem solving skills
Nice to have
- Familiarity with data / machine learning services in any cloud vendor (preferably GCP)
- Experience with developing streaming and batch data processing pipelines using cloud based architectures
- Experience with ML models deployment as web applications
- Strong written and verbal communications skills in both English and Polish
Additional Information :
Benefits:
- 5 weeks of vacation per year ( 1 week extra)
- 4 My Days per year
- Hybrid office
- Flexible working hours
- Udemy for business account
- Meal allowance up to 28.000 CZK/year (12390 CZK/day)
- Cafeteria 1000 CZK/month (MultiSport Card available)
- Phone tariff (unlimited calls texts messages within the EU 20GB of Internet)
- Employee Referral Program
- Sabbatical leave
- Repurchase of hardware
Moreover we offer:
- Above standard working equipment
- Company mobile phone (selection from Android/iPhone)
- Company laptop (Windows/macOS)
- Coffee tea snacks and breakfasts in the office
- Company events and team buildings
- Gifts for work anniversaries promotion or childbirth
- Friendly and open culture
And last but not least you can rely on:
- Transparent framework for career growth reinforced by annual performance evaluations
- Trust and autonomy with no micro-management
- Learning from senior colleagues and opportunities to collaborate with professionals from various industries
- Opportunities to attend conferences to keep skills up-to-date
- Usage of AI tools and access to elaborate tailored AI training
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
