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.

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