AI/ML Intern
Full-Time – Remote – 6 months(Conversion to Permanent Employment based on performance)
About the Role:
We are looking for an enthusiastic and motivated AI/ML Intern to join our team. The intern will work closely with our AI and Data Science teams to develop, test, and implement cutting-edge machine learning models and solutions. This is a hands-on role where you will gain practical experience in AI/ML, contribute to real-world projects, and sharpen your technical and analytical skills.
Key Responsibilities:
- Collaborate with the AI/ML team to develop machine learning models and algorithms.
- Assist in data collection, cleaning, preprocessing, and exploration for model training.
- Implement and evaluate different machine learning techniques, including supervised, unsupervised, and reinforcement learning.
- Optimize and fine-tune models for better accuracy and performance.
- Research and prototype innovative AI/ML solutions for challenging problems.
- Document workflows, experiments, and results effectively.
- Stay updated with the latest trends and advancements in AI and machine learning.
Qualifications and Skills:
Technical Skills:
- Strong foundation in Python and libraries such as TensorFlow, PyTorch, NumPy, and Scikit-learn.
- Basic understanding of machine learning concepts, algorithms, and workflows.
- Knowledge of data manipulation and visualization tools (e.g., Pandas, Matplotlib, Seaborn).
- Familiarity with deep learning concepts and frameworks is a plus.
- Exposure to cloud platforms (AWS, Azure, or Google Cloud) is advantageous.
Educational Background:
- Completed a degree in Computer Science, Data Science, Mathematics, or a related field.
Soft Skills:
- Strong analytical and problem-solving skills.
- Eagerness to learn and adapt to new challenges.
- Ability to work both independently and collaboratively in a team environment.
What You’ll Gain:
- Hands-on experience with real-world AI/ML projects.
- Mentorship from experienced professionals in the AI field.
- Exposure to industry-standard tools and technologies.
- An opportunity to innovate and contribute to impactful solutions.
- A potential pathway to a full-time position based on performance.