Lead/Senior Data Scientist (NLP) @ Sigmoidal at Sigmoidal #vacancy #remote

  • English proficiency, preferably at a B2/C1 level
  • At least 5+ years of experience in Data Science
  • A passion for pursuing solid best practices in Data Science
  • Hey!

    Are you ready to unleash your genius and make an impact like never before? Here is your opportunity!

    We’re looking for specialists with comprehensive experience in ML/AI projects, background in NLP and MLOps and a strategic mindset – to think critically about business challenges.

    We offer:

    • Salary of 25 000 – 35 000 PLN net + VAT, or its equivalent in USD
    • Direct B2B contract with Sigmoidal.

    What is our tech stack?

    • (programming language) Python
    • (main libraries) OpenAI, HuggingFace, pandas, numpy, PyTorch, OpenCV
    • (tools & integration software) Snowflake, Docker
    • (programming environment) Visual Studio Code, PyCharm
    • (cloud services) AWS

    ,[Drive the entire process of model development, advocating for best practices to ensure efficient software delivery management., Implement comprehensive end-to-end ML pipelines, ensuring seamless integration and automation of all stages to facilitate efficient and scalable workflows., Engage in collaborative efforts within a diverse, cross-functional team, actively sharing information and ideas, while effectively partnering with colleagues worldwide., Occasionally, take on a leadership role in supporting and guiding team members., Transform business challenges into well-defined projects, ensuring timely and effective delivery., Serve as a proactive communicator, eagerly sharing your work with both technical and non-technical audiences., Effectively articulate ideas and play a pivotal role in driving the adoption of AI throughout the organization.] Requirements: AI, Python, Machine learning, Data science, AWS, NLP

OpenCV OpenAI Natural language processing (NLP) pandas Artificial intelligence (AI) Data Science Amazon Web Services (AWS) Hugging Face snowflake-cloud-data-platform MLOps Docker NumPy Machine Learning Visual Studio Code PyCharm PyTorch

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