Ai/ml Intern

Year    CH, IN, India

Job Description

We are looking for a passionate

AI/ML Engineer

with strong analytical thinking and interest in Machine Learning, Artificial Intelligence, and Data Science. The candidate will work on building machine learning models, developing data pipelines, and supporting research and experimentation tasks.

Key Responsibilities



Assist in building, training, and validating machine learning models Work with large datasets for data cleaning, exploration, and preprocessing Support model deployment and testing Implement ML algorithms and optimize performance Work with Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch Research new AI/ML techniques and tools Collaborate with development and data engineering teams Prepare reports and present model findings

Required Skills



Strong understanding of Machine Learning concepts (Regression, Classification, etc.) Good programming skills in

Python

Knowledge of algorithms, statistics, and data structures Familiar with ML frameworks: Scikit-learn TensorFlow/PyTorch (basic level is fine) Knowledge of SQL or data querying Good problem-solving and analytical skills

Good to Have



Knowledge of Deep Learning (CNN/RNN, NLP, Transformers) Experience with Jupyter Notebook, GitHub Understanding of cloud platforms (AWS, GCP, Azure) Hackathons, ML projects, internships

Educational Qualification



B.Tech / B.E / M.Tech / M.Sc (Computer Science, IT, AI, Data Science or related fields)

Experience



0-1 year (Freshers can apply)

Projects / internship experience in AI/ML preferred

Soft Skills



Good communication Logical thinking Willingness to learn and explore new technologies
Job Type: Fresher

Pay: ₹10,000.00 - ₹20,000.00 per month

Work Location: In person

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Job Detail

  • Job Id
    JD4893838
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    CH, IN, India
  • Education
    Not mentioned
  • Experience
    Year