Job Description
Job Description :
AI Trainee - (Mathematics)
We are looking for a highly motivated and mathematically-inclined
AI Trainee to join our team. This is an entry-level position designed for individuals with a
passion for artificial intelligence and a strong foundation in mathematics. You will play a crucial role in building the next generation of AI systems by applying your analytical skills to real-world challenges.
Responsibilities
- Assist in the development and implementation of AI and Machine Learning models.
- Apply advanced mathematical and statistical concepts, including linear algebra, calculus, probability, and optimization theory, to solve complex problems.
- Help prepare and preprocess large datasets, ensuring their quality and integrity.
- Collaborate with senior team members to understand project requirements and translate them into technical tasks.
- Research and analyze various machine learning algorithms and techniques to identify the most effective solutions for specific challenges.
- Contribute to the evaluation and validation of AI models, and help interpret model outputs.
- Participate in code reviews and learn best practices for building scalable and efficient AI systems.
- Document the development process, model architecture, and experimental results.
- Stay updated with the latest research and developments in the field of AI and Machine Learning.
Requirements
Qualifications:
- Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
- Demonstrably strong foundation in mathematics, particularly in areas like linear algebra, multivariable calculus, probability, and statistics.
- Familiarity with at least one programming language, preferably Python.
- Basic understanding of machine learning concepts and algorithms.
- Excellent problem-solving and analytical skills.
- A strong desire to learn and a proactive attitude.
- Excellent written and verbal communication skills.
- Ability to work effectively both independently and as part of a team.
Preferred Qualifications
- Coursework or projects involving machine learning, data science, or artificial intelligence.
- Experience with numerical libraries such as NumPy and SciPy.
- Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch is a plus.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn).
About Company / Benefits
BENEFITS :-
Food Coupon
Medical insurance
NPS
Provident Fund
Gratuity
Team lunch
Marraige Gift cards
Ownership
