AI/ML Intern

Role & responsibilities

Key Responsibilities:

• Assist in collecting, cleaning, and preprocessing large datasets.
  
• Support the development, training, and evaluation of machine learning and deep learning models.
  
• Perform exploratory data analysis (EDA) to extract actionable insights.
  
• Implement AI/ML algorithms for tasks such as classification, regression, clustering, NLP, or computer vision.
  
• Collaborate with software and research teams to integrate models into applications.
  
• Document code, experiments, and findings for reproducibility.
  
• Stay updated with emerging trends in AI/ML and suggest innovative solutions.
  

Required Skills & Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, or related field.
  
• Strong programming skills in Python and experience with libraries like NumPy, Pandas, Matplotlib, and Scikit-learn.
  
• Understanding of machine learning algorithms (supervised, unsupervised, and deep learning).
  
• Familiarity with frameworks such as TensorFlow, PyTorch, or Keras.
  
• Basic knowledge of SQL and data handling techniques.
  
• Strong analytical, problem-solving, and communication skills.
  

What Youll Gain:

• Hands-on experience in real-world AI/ML projects.
  
• Mentorship from experienced engineers and data scientists.
  
• Opportunity to contribute to innovative solutions in AI/ML.
  
• Certificate of internship completion and potential for full-time opportunities at Adiance Technologies.
  

Preferred candidate profile

• Experience with NLP, Computer Vision, or Generative AI.
  
• Exposure to cloud platforms (AWS, GCP, Azure).
  
• Familiarity with Git/GitHub and version control.
  
• Participation in AI/ML projects, hackathons, or research.