AI Research Engineer
Training Basket
At a glance
Job description
Research and develop new AI and Machine Learning algorithms and models.
Design, train, test, and optimize machine learning and deep learning models.
Explore advanced AI technologies, including Generative AI and Large Language Models (LLMs).
Perform data collection, preprocessing, cleaning, and feature engineering.
Conduct experiments to evaluate model performance and accuracy.
Implement research papers and convert theoretical concepts into practical solutions.
Work with NLP, Computer Vision, and Deep Learning techniques.
Optimize algorithms for performance, scalability, and efficiency.
Collaborate with engineering and research teams to develop AI-based solutions.
Document research findings, experiments, and technical results.
Stay updated with the latest developments in AI, ML, and emerging technologies.
Requirements
Strong programming knowledge in Python.
Read full description
Understanding of Machine Learning algorithms and concepts.
Knowledge of Deep Learning and Neural Networks.
Experience with libraries such as NumPy, Pandas, Scikit-learn.
Knowledge of TensorFlow or PyTorch.
Understanding of Statistics, Linear Algebra, Probability, and Calculus.
Knowledge of Data Preprocessing and Feature Engineering.
Understanding of model training, evaluation, and optimization.
Familiarity with NLP and Computer Vision concepts.
Strong analytical, mathematical, and problem-solving skills.
Key skills
- AI
- Computer Vision
- Deep Learning
- Feature Engineering
- Generative AI
- Llm
- Machine Learning
- Neural Networks
- NLP
- Numpy
Important dates
How to apply
- 1
Open the official careers page on trainingbasket.zohorecruit.com.
- 2
Create an account and fill in your education and contact details.
- 3
Upload your resume as a PDF under the size the form asks for.
Photos to PDF - 4
Submit and note your application ID for the test and interview emails.