#vacancy #remote

ML/DS Engineer (Full-Time / Part-Time)

At Historica https://www.historica.org/, we are building an interactive application for exploring history through a dynamic map. We need a highly skilled ML/DS Engineer to develop AI-driven solutions that analyze and process historical data - covering topics from politics and religion to epidemics - and to build recommendation systems and boundary-generation models.

Key Responsibilities
- Research, design, and implement machine learning solutions (classic ML and deep learning).

- Continuously integrate emerging ML/DS/AI techniques (CNN, RNN, GAN, etc.) into our platform.

- Collaborate closely with the team to deliver reliable and scalable models.

- Contribute to data pipelines, ensuring high-quality data management and MLOps practices.

- Innovate and maintain state-of-the-art solutions for user-facing features (historical question-answering, recommendation engines).

Requirements
- 3+ years of experience in machine learning engineering (classic ML and deep learning).

- Strong Python, SQL, TensorFlow/PyTorch, scikit-learn skills; familiarity with LLM/RAG and NLU.

- Hands-on experience with ML research (Arxiv publications are a plus).

- Sound knowledge of data structures, algorithms, and software design principles.

- Familiarity with cloud platforms (AWS/Google Cloud) is preferred.

- Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, or related field.

- DevOps/MLOps (CI/CD, containerization) experience is a plus.

https://t.me/aserbinova