IBM Data Engineer 

Lithuania, Vilnius County, Vilnius 

513582953

You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.

Your primary responsibilities include:
• Designing and developing challenging solutions that automate various aspects of data acquisition, ingestion, storage, access and transformation of data.
• You will leverage a variety of machine learning techniques to solve data related challenges.

• Education in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics)
• Coursework in mathematics, statistics, machine learning, and data mining, feature engineering
• High level of comfort with various data types and structures: structured versus unstructured data
• Experience in data cleaning, validation, integration
• Strong understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc.
• Well versed/ good understanding of Python programming language
Toolbox: Pandas, Scikit-learn, Numpy, Matplotlib, Github, TensorFlow, Flask• Basic understanding of Large Language models.
• Experience of applying advanced analytics and predictive modelling techniques in a professional context
• Experience of working within an Agile environment
• Experience with SQL and NoSQL databases
• Experience with Azure, AWS, GCP or IBM cloud platforms is a plus
• Experience with models from Hugging Face, FastAPI, Transormers, Pydantic, OpenCV

• Private health insurance, life insurance, critical illness insurance
• To be part of international projects based on your experience, career goals and personal aspirations
• Dynamic work in projects for customers from Fortune 500 companies list
• Premium, full life-cycle work experience on high-profile IT solutions with direct impact on people and businesses
• Personalized professional growth, mentoring, training and clear career progression
• Flexible work & life balance
• Hybrid work model
• Competitive salary and additional bonuses.
• Monthly salary for this position is from 2000 EUR gross to 5300 EUR gross.
* The final offer will be dependent on qualifications, professional experience and competencies.