Senior DataScience Engineer (Machine Learning, AI)

TL;DR

Senior Data Scientist (Machine Learning): Designing and implementing machine learning and deep learning models for predictive analytics and classification tasks with an accent on developing and fine-tuning NLP solutions, including Large Language Models. Focus on advanced data analysis, writing efficient and scalable code using Python and PySpark, and building and deploying models with AWS services like SageMaker, Glue, and Lambda.

Location: Remote from Ukraine (Kyiv, Lviv, Odesa, Rivne)

Company

hirify.global Engineering is a global leader in engineering services, providing R&D and digital technology expertise to innovative companies across various industries.

What you will do

• Design and implement machine learning and deep learning models for predictive analytics and classification tasks.
• Develop and fine-tune NLP solutions, including Large Language Models (LLMs).
• Perform advanced data analysis to uncover insights and support strategic decision-making.
• Write efficient and scalable code using Python and PySpark for data processing and modeling.
• Query and manipulate large datasets using SQL.
• Build and deploy models using AWS services such as SageMaker, Glue, and Lambda.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in Machine Learning, Deep Learning, and NLP/LLMs.
• Strong programming skills in Python and PySpark.
• Proficiency in SQL and data manipulation techniques.
• Demonstrated ability to perform complex data analysis and communicate findings effectively.
• Hands-on experience with AWS services, especially SageMaker, Glue, and Lambda.

Nice to have

• Experience with MLOps and model deployment in production environments.
• Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Understanding of big data technologies and distributed computing frameworks.

Culture & Benefits

• Health insurance from the first days, regardless of the probationary period.
• Christmas holidays from December 25 to December 31.
• Opportunities for professional growth and development.
• Collaborative and innovative work environment.
• Flexible working arrangements.
• Support for Superhumans center and Veteran HUB.