Nelia Mandeliuk

Recruiter

Nelia Mandeliuk

nmandeliuk@binariks.com

nmandeliuk@binariks.com

Middle Data Scientist

Binariks is looking for a highly motivated Middle Data Scientist to join the team.

Project Description

Customer

USA

Office Location

Remote

Product

Our client focuses on automating on-premise in-network cyber monitoring, threat analysis, and alerting at scale, with patent-pending technology designed to address the increasing threat of cyber attacks.

What We’re Looking For

  • Good understanding of supervised and unsupervised learning, classical NLP techniques, and LLMs.
  • Experience using LLM APIs
  • Experience in fine-tuning and hosting open-source generative AI LLMs
  • Demonstrated experience in building LLM chatbots and implementing related techniques (RAG, vector databases, knowledge graphs)
  • Proficiency with major machine learning and deep learning libraries and frameworks: TensorFlow, PyTorch, scikit-learn
  • Experience with Python backend frameworks: Flask, FastAPI
  • Good problem-solving skills and the ability to work independently and as part of a team
  • Upper-intermediate or higher level of English proficiency

Your Responsibilities

  • Develop and apply machine learning models using supervised and unsupervised techniques
  • Utilize classical NLP techniques and work with large language models (LLMs)
  • Fine-tune and host open-source generative AI LLMs (e.g., LLama, Mistral)
  • Work with machine learning and deep learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn
  • Develop backend systems using Python frameworks (Flask, FastAPI)
  • Collaborate with cross-functional teams to integrate AI/ML solutions into the cybersecurity platform.
  • Stay updated with the latest AI/ML advancements and apply them to enhance the solution

Will be a plus

  • Understanding of networking protocols


Your Benefits

  • 18 days of paid annual leave

    18 days of paid annual leave

  • 10 sick leaves

    10 sick leaves

  • Additional days off for special occasions

    Additional days off for special occasions

  • Medical Care

    Medical Care

  • Health check-up

    Health check-up

  • English Class

    English Class

  • Play Room

    Play Room

  • IT Cluster membership

    IT Cluster membership

  • Business Trip

    Business Trip

  • Tech Talks

    Tech Talks

  • Training & Conferences

    Training & Conferences

  • Certification

    Certification

  • Accounting

    Accounting

  • Corporate currency

    Corporate currency

  • Work From Anywhere

    Work From Anywhere

  • 18 days of paid annual leave

    18 days of paid annual leave

  • 10 sick leaves

    10 sick leaves

  • Additional days off for special occasions

    Additional days off for special occasions

  • Medical Care

    Medical Care