Q
Data Scientist
RemoteFull-timeData ScienceIT Consulting
Develop and deploy generative AI, machine learning, and data science solutions for enterprise clients. The role is remote and includes technical discussions and pre-sales activities.
Responsibilities
- Design and deploy end-to-end machine learning, deep learning, and generative AI solutions, including data analysis, feature engineering, model development, and performance monitoring
- Develop RAG pipelines and LLM-based applications; integrate LLM APIs and vector databases and optimize system performance
- Apply AI algorithms and statistical analysis to structured and unstructured data
- Deploy scalable solutions using Docker, cloud platforms, and Linux in collaboration with DevOps teams
- Participate in technical discussions and pre-sales activities
Requirements
- At least 3 years of experience in machine learning or data science
- Experience delivering end-to-end machine learning solutions in cloud production environments
- Bachelor’s or master’s degree in computer science, data science, statistics, mathematics, or a related field
- Proficiency in Python and common machine learning libraries
- Experience with RAG systems and LLM-based solutions
- Experience with Docker and cloud environments
- Experience working in client-facing environments
Nice to have
- Master’s degree or Ph.D. in a relevant field
- Experience with Kubernetes, CI/CD, or MLOps
- Experience monitoring machine learning models in production
- Experience presenting technical solutions to clients in English and Hebrew
Benefits
- Career growth in an innovative environment
- Close collaboration with clients
- Work in a learning-driven, values-led organization