R&D center WINSTARS.AI

Joined in 2019
71% answers
WINSTARS.AI is an Data Science R&D centre located in the engineering hub of Vinnytsia (Ukraine). We also have representative offices in the USA, Germany and Austria. And our scientists and engineers work all over the world.

Since we are not a large company, we specialize in several areas of data science. But our main expertise works in the Health Care, Energy, Defense and Agricultural sectors.

More information about us and our project on our website or on the Internet.
  • · 120 views · 13 applications · 8d

    Data Scientist

    Full Remote · Ukraine · 1.5 years of experience · English - B2
    ​Winstars.AI is a research and development center comprising scientists, engineers, and visionaries dedicated to leveraging advanced technologies to enhance global efficiency and security. Since 2016, we have been committed to transforming ambitious...

    ​Winstars.AI is a research and development center comprising scientists, engineers, and visionaries dedicated to leveraging advanced technologies to enhance global efficiency and security. Since 2016, we have been committed to transforming ambitious projects into reality, creating our own products, and supporting others in their development.

    We are looking for a highly skilled Data Scientist with a strong background in Python, NLP, machine learning, and deep learning frameworks, as well as experience in computer vision tasks. This role offers an opportunity to work on innovative AI-driven projects in a dynamic and experienced team.

     

    THAT WOULD BE WONDERFUL IF YOU HAVE:

    • At least Bachelor’s degree in Computer Science or related field;
    • At least 1,5 years of real-world experience in implementing data science and NLP projects;
    • Strong Python knowledge;
    • Strong knowledge of classical algorithms and data structures;
    • Strong knowledge in linear algebra, geometry, calculus, probability theory and statistics;
    • Experience with Machine Learning libraries like NumPy, Pandas, ScikitLearn;
    • Experience with NLP and Time Series forecasting;

    • Experience with generative models (e.g., GPT, Gemini) is a strong advantage;

    • Experience with LLMs (e.g., for sentiment analysis, prompt tuning), OpenAI API (incl. fine-tuning and structured output);
    • Practical experience with at least one Deep Learning framework like Keras, Tensorflow, PyTorch;

    • Basic Git proficiency;
    • English — Upper-Intermediate.

     

    WOULD BE A PLUS:

    • Experience with LangChain and RAG pipelines;

    • Good knowledge and experience with some of the well-known neural networks architectures such as: Yolo, U-Net, MobileNet, ResNet, R-CNN;
    • Active Kaggle participation;
    • Docker;
    • Microsoft Azure or AWS.

     

    ADVANTAGES FOR A CANDIDATE:

    • Stable and competitive salary.
    • Official employment under a gig contract.
    • Work in a cool & experienced team.
    • Useful & exciting project.
    • Up to 26 Days Off per year at your convenience.
    • Convenient office in Vinnytsia or an opportunity to work remotely.
    • Review of working conditions and position based on performance, productivity and development in accordance with a skills assessment program.
    • Excellent opportunities and prospects for professional growth in a company with a 9-year history.

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  • · 25 views · 2 applications · 23d

    Senior MLOps

    Full Remote · Ukraine · 5 years of experience · English - B2
    ​Winstars.AI is a research and development center comprising scientists, engineers, and visionaries dedicated to leveraging advanced technologies to enhance global efficiency and security. We are looking for a highly skilled Senior MLOps Specialist with...

    ​Winstars.AI is a research and development center comprising scientists, engineers, and visionaries dedicated to leveraging advanced technologies to enhance global efficiency and security. 


    We are looking for a highly skilled Senior MLOps Specialist with expertise in Python, cloud computing, machine learning, and large-scale data processing.

     

    THAT WOULD BE WONDERFUL IF YOU HAVE:

    • Hands-on experience with AWS services such as S3, AWS Batch, EC2, and Lambda for processing large-scale data.
    • Experience in building and deploying scalable MLOps pipelines, including model deployment, versioning, and experiment tracking (e.g., using ClearML or similar tools).
    • Proficiency in Python, with solid knowledge of libraries and frameworks used for data processing and machine learning.
    • Expertise in automating data ingestion and quality control (QC) processes, specifically with medical data formats like DICOM, C-Arm images, and radiology reports.
    • Experience in distributed data processing on platforms like AWS Batch (Spot) for large-scale processing and predictions.
    • Familiarity with PostgreSQL for storing and managing metadata, and building services for metadata enrichment and prediction results.
    • Experience working with regulatory frameworks such as FDA-compliant environments (21 CFR Part 11) and handling HIPAA/PHI data in accordance with industry standards.
    • Strong understanding of data governance, access control, and audit trails, especially in clinical and healthcare-related environments.
    • Upper-intermediate+ in English;

     

    WOULD BE A PLUS:

    • Active Kaggle participation;
    • Experience in Computer Vision

     

     

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