Demonstrates expertise in developing and deploying machine learning and AI solutions, with a strong foundation in Python and experience in LLM and NLP applications. Proficient in building scalable AI systems and collaborating effectively with engineering teams.

Highest-signal resume keywords

Machine Learning DevelopmentNatural Language Processing (NLP)Deep Learning Frameworks (TensorFlow, PyTorch)SQL and NoSQL DatabasesFluency in Ukrainian

Tech Stack

Tools & technologies

AWSAzureCloudDockerNoSQLPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

Develop and deploy machine learning and AI solutions
Build scalable, production-grade AI systems
Apply LLM-based systems and modern NLP applications
Collaborate with senior engineers to build scalable and reliable AI-driven products
Make high-quality financial research accessible and data-driven

Requirements

What you’ll need

3+ years of commercial experience as a Data Science / AI Engineer
Strong Python skills and solid software engineering fundamentals
1+ year of experience with LLM and NLP-related tasks
Understanding of modern deep learning architectures
Experience with at least one deep learning framework (TensorFlow or PyTorch)
Experience with SQL and NoSQL databases
Good knowledge of Docker
Strong knowledge of object-oriented programming
Fluency in Ukrainian
Upper-Intermediate or higher level of English (spoken and written)
Nice to Have: Hands-on experience with RAG pipelines and vector databases
Nice to Have: Experience training or fine-tuning LLMs
Nice to Have: Experience with cloud platforms (AWS, Google Cloud, Azure)
Nice to Have: Participation in Kaggle or similar competitions

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonMachine LearningNatural Language ProcessingDeep LearningObject-Oriented ProgrammingSQLNoSQLDockerLLM ExperienceRAG Pipelines

Tools & Technologies

TensorFlowPyTorchAWSGoogle CloudAzure

Industry Keywords

AI SolutionsFinancial ResearchData-Driven ProductsScalable SystemsKaggle Competitions