Senior NLP Data Scientist/ Developer

your Jared; Warszawa; Hybrid; PLN 388,000 - 646,000; Full time

Benefits offered by this job

Hybrid work model

Sports compensation

14 days paid vacation

Corporate events

Job summary

Pivotics is seeking a Senior NLP Data Scientist/Developer to lead cutting-edge AI initiatives in medical, retail, and manufacturing domains. You will drive end-to-end NLP solutions—from research to production—focusing on deep learning, transformers, and prompt engineering.

This role demands Python prowess, hands-on ML/NLP experience, and ability to communicate across diverse teams. The position offers flexible remote work, full-time employment, and opportunities to stay current with SOTA

Qualifications

• Bachelor degree in Computer Science.
• Strong background in DL/NLP and practical ML problem solving.
• Experience with sentiment analysis, NER, and chatbots.
• Proficient Python programming.
• Ability to translate business problems into ML tasks.
• Excellent communication and teamwork.
• At least 1 year experience building ML/NLP systems.
• Fluent English.

Responsibilities

• Work on DL-based NLP projects across domains.
• Develop end-to-end ML/NLP solutions.
• Collaborate with customers to translate problems.
• Deliver production-ready models.
• Provide NLP expertise to the DA team.

Skills

Python

Deep Learning

NLP

Transformers

ML/NLP deployment

English fluency

Communication

C++ knowledge

Problem solving

Education

Bachelor degree in Computer Science

Master’s or Ph.D. in NLP/Data Science/CS

Tools

PyTorch

TensorFlow

Keras

Job description

Senior NLP Data Scientist/Developer

Warsaw/Wroclaw, Poland
Madrid, Spain

Pivotics is an AI software design and implementation company with the headquarters based in San Diego, California and its R&D offices located in the EU and which is focused on AI/ DL products realization.

Job Description:

We are seeking a Senior NLP Data Scientist/Developer to work on cutting-edge AI technology projects in the Medical, Retail, and Manufacturing fields. The ideal candidate must be familiar with all aspects of NLP models, including Deep Learning, transformers, LLM, Prompt Engineering and generative AI.

Key qualifications:

• Bachelor degree in Computer Science
• Mathematical background, experience in solving applied problems using Deep Learning technologies, NLP in particular
• Knowledge of a variety of Natural Language Processing techniques and their real-world applications (sentiment analysis, transformers, etc., task-oriented dialog systems)
• Proficiency in modern Python language
• Ability to extract solvable sub-tasks from the big common project goal, formulate a problem in ML terms, evaluate the result
• Ability to deliver full-cycle data science product – from task statement and research to the model, ready for production implementation
• Ability to work with research papers and SOTA in the field, select appropriate algorithms that suit best for the task solving
• Excellent communication and interpersonal skills
• Strong problem solving, time-management, organizational and project-management skills
• Interest and ability to work in a close, interdependent team of data analysts and business owners
• At least 1 year industry experience building ML/NLP systems
• Solid software engineering skills for prototyping
• Fluent English speaker (upper-intermediate and higher).

Additional requirements (a plus):

• Master’s or Ph.D. in Natural Language Processing, Data Science, Linguistics, Computer Science or another quantitative field
• C++ knowledge
• Knowledge of one of the Deep Learning frameworks: PyTorch, Tensorflow, Keras
• Ability to work with Big Data
• Production experience solving named entity recognition tasks, sentiment analysis, developing chat-bots

Responsibilities:

• The NLP project will be based on deep learning and related to the majority of tasks in the field, including topic modeling, information retrieval, classification, named entity recognition etc.
• Apply Natural Language Processing techniques and statistical analysis to extract and validate data
• Work closely with customer to convert business problems to data science tasks
• Deliver full-cycle data science product
• Provide NLP expertise to the company DA team

Cooperation Terms:

Work schedule: flexible and remote work schedule
Contracts: B2B
Terms: Full-time employment / ability to work from any EU location

Benefits & perks:

• Friendly and united international team of colleagues
• Hybrid/office/ remote working model
• Flexible time schedule
• Variety of knowledge sharing, training and self-development opportunities
• Sports compensation
• 14 days of paid vacation
• Corporate events' celebrations, outdoor activities