We're looking for Experienced Machine Learning Specialist

Pracovné podmienky

• Miesto výkonu práce: Remote work
• Typ pracovného pomeru: full-time, trade licence
• Nástup: ASAP

Odmeňovanie

2 800 - 3 500 EUR/month

Final agreement depends on your skill-set and experience. This is the subject of a partnership agreement during the selection process.

Informácie o pozícii

We are looking for experienced ML Specialist/Data Science Engineer to help us grow. If you want to be part of international project, this is the position for you.

Focusing on data pipelines, you will play a critical role in developing, deploying, and optimizing cloud based solutions. This position requires experience and proficiency with Python and cloud services to drive business value and enhance user experiences across our platforms.

Responsibilities

• Directing the data mining, data gathering, and data processing in large volume; creating appropriate data models.
• Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
• Defining requirements and scope of data analyses; presenting and reporting possible business insights to colleagues/management using data visualization technologies.
• Evaluating and conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
• Determining the root cause of organizational problems and creating alternative solutions that resolve these problems.

Benefits

• 6 extra days off: 3x days and 3x sick days
• Referral bonus
• Financial contribution to Pension plan
• Education support (certificates, courses, trainings)
• Bonuses at every smashing life events
• Flexible working arrangements
• Transparent approach and communication
• Supporting your ideas

Requirements

• University education (Bachelor's degree)
• Educational specialization: IT
• English - Upper intermediate (B2)
• Experience in the position/sector: 4 years
• Proven experience with Python.
• Experience with cloud services, Cloud ELT/ETL, and SQL.
• Working knowledge and experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.