Middle Data Scientist (Generative AI)

SoftServe; Poland; On-site; PLN 180,000 - 260,000; Full time

Job summary

SoftServe is seeking a data scientist/ML engineer to develop Generative AI and ML solutions as part of our AI and Data Science Center of Excellence, a team of 170+ experts. You will work on NLP pipelines, RAG applications, and agentic workflows alongside experienced researchers and engineers to deliver measurable client impact.

Responsibilities include building ML pipelines, deploying models in cloud environments (AWS, Azure, GCP), and collaborating with cross-functional teams.

Qualifications

• At least 3 years of experience in data science or ML with hands-on model development.
• Master's degree in Computer Science or a related field.
• Proficiency in Python and frameworks like PyTorch or TensorFlow.
• Experience with Generative AI, NLP techniques, transformer models and LLMs.
• Familiarity with LangGraph or CrewAI for multi-agent applications.
• Experience with cloud AI/ML services (AWS, Azure, GCP) and ML lifecycle.

Responsibilities

• Develop and apply Generative AI and ML solutions across NLP, RAG, and agentic workflows.
• Build and maintain ML pipelines from data analysis to deployment.
• Collaborate with data scientists, engineers, and stakeholders across client projects.
• Contribute to agentic workflows using LangGraph or CrewAI.
• Document findings and translate insights for technical and non-technical audiences.

Skills

Python

ML pipelines

Data analysis

English proficiency

Communication

Education

Master's degree in Computer Science

Tools

PyTorch

TensorFlow

LangGraph

CrewAI

AWS

Azure

GCP

Big Data tools

Job description

About The Role

In this role, you will develop and apply Generative AI and machine learning solutions — from NLP pipelines and RAG applications to agentic workflows — as part of SoftServe's AI and Data Science Center of Excellence, a team of 170+ experts, including Data Scientists, ML Engineers, and Architects. Working alongside experienced researchers and engineers, you'll contribute to data-driven projects that deliver measurable impact for clients.

About The Role

In this role, you will develop and apply Generative AI and machine learning solutions — from NLP pipelines and RAG applications to agentic workflows — as part of SoftServe's AI and Data Science Center of Excellence, a team of 170+ experts, including Data Scientists, ML Engineers, and Architects. Working alongside experienced researchers and engineers, you'll contribute to data-driven projects that deliver measurable impact for clients.

Responsibilities

• Implement and contribute to Generative AI and agentic solutions — including RAG pipelines, intelligent assistants, and NLP applications — working alongside senior team members
• Build and maintain ML pipelines covering data analysis, experiment design, model training, and deployment, supporting reliability and reproducibility in production
• Collaborate with Data Scientists, Engineers, and stakeholders to understand requirements and contribute to production-ready ML solutions across diverse client projects
• Contribute to agentic workflows using frameworks such as LangGraph or CrewAI, supporting the development of multi-agent systems and autonomous AI applications
• Apply deep learning techniques in Python with PyTorch or TensorFlow to experiment, prototype, and iterate on solutions across NLP and generative AI domains
• Work with Big Data tools and cloud platforms (AWS, GCP, or Azure) to support data-driven experimentation, feature engineering, and analysis tasks
• Document and communicate experimental findings, translating data-driven insights into clear, actionable conclusions for both technical and non-technical audiences

Requirements

• At least 3 years of experience in data science or machine learning, with hands‑on exposure to building and experimenting with ML models
• Master's degree in Computer Science or a related field
• Solid Python proficiency with experience in PyTorch or TensorFlow for model development and experimentation
• Foundational knowledge of Generative AI and NLP techniques, including transformer models and LLMs such as GPT or Claude
• Familiarity with agentic AI concepts and frameworks, such as LangGraph or CrewAI, for building multi‑agent applications
• Exposure to cloud‑based AI/ML services on AWS, Azure, or GCP, and understanding of the ML development lifecycle
• Familiarity with Big Data tools and data processing in cloud environments
• Strong analytical and communication skills
• Upper‑intermediate or higher proficiency in English, both spoken and written

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.