Machine Learning Intern

9Envoy Technologies Pvt. Ltd.

0 years

0 Lacs

raipur

Posted:9 hours ago| Platform: GlassDoor logo

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Skills Required

learning development model data processing deployment engineering analysis test ml reliability automation ai algorithms training evaluation metrics tensorflow keras git communication vision aws azure flask fastapi

Work Mode

On-site

Job Type

Part Time

Job Description

We are seeking Machine Learning Interns to join us. This internship offers an exceptional opportunity to gain hands-on experience in real-world machine learning development, model building, data processing, and deployment workflows.

Job Description:

Perform data cleaning, feature engineering, exploratory data analysis, and model validation.
Develop, train, test, and deploy ML and predictive models using industry-standard tools and frameworks.
Collaborate with the team to ensure model accuracy, reliability, and scalability.
Assist in optimizing ML workflows, pipelines, and automation processes.
Assist in documenting experiments, results, and deployment procedures.
Stay updated with the latest trends, techniques, and best practices in machine learning and AI.

Required Skills & Qualifications:

Bachelor’s in Computer Science, Data Science, AI/ML, or related fields.
Good understanding of machine learning fundamentals, algorithms, and statistical concepts.
Hands-on experience with Python, NumPy, Pandas, Scikit-learn, or similar ML libraries.
Basic knowledge of data preprocessing, model training, evaluation metrics, and visualization.
Must have hands on with either of TensorFlow, Keras, or PyTorch .
Understanding of version control (Git) and Jupyter Notebooks.
Strong analytical, problem-solving, and communication skills.
Eagerness to learn, adapt, and contribute in a fast-paced environment.

Preferred Skills (Good to Have)

Understanding of MLOps concepts and tools.
Knowledge of NLP, Computer Vision, or Deep Learning.
Exposure to cloud platforms like AWS, Azure, or Google Cloud.
Experience with ML model deployment using Flask, FastAPI, or similar frameworks.

Job Type: Internship

Work Location: In person

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