Job Description
We are looking to hire Junior Data Scientists, who are eager to be part of the AI revolution and learn.
Experience Required : 0-1 Year, since our team will be training you during the probation phase. And the probation phase is paid too.
Responsibilities
- Data Scraping: Collaborate with the team to gather and extract relevant data from various sources, ensuring data accuracy and quality.
- Backend development: Contribute to the development of backend services using FastAPI/Django, leverage Django features such as models to define the structure of the database and facilitate seamless data flow and integration.
- Machine Learning Pipeline: Assist in building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model selection, training, and evaluation.
- Natural Language Processing (NLP): Engage with large text datasets and implement NLP techniques, such as sentiment analysis, text classification, and entity recognition.
- Deep Learning with PyTorch: Learn and apply deep learning concepts using PyTorch, contributing to the development of models for various applications.
- Model Interpretability: Work on techniques to interpret and explain model predictions, ensuring transparency and trust in the models' decisions.
- Collaboration: Collaborate with cross-functional teams, including data engineers, software developers, and domain experts, to drive impactful data-driven solutions.
Qualifications
- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- Proficiency in Python programming is a must.
- Familiarity with Pandas or SQL, or good understanding of how data manipulation works.
- Basic understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Demonstrated interest in data science and machine learning through personal projects, or related experience.