Middle Data Scientist

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

Project Description

Customer

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