Uttar Pradesh Algorithm developer Jobs – 125 Open Jobs Today

AI/ML Developer Intern
Augurs Technologies Pvt. Ltd —Lucknow, Uttar Pradesh
- Full-time
- Computer Science
- Software troubleshooting
- Research
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17h

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AI/ML Developer Intern
Augurs Technologies Pvt. Ltd —Lucknow, Uttar Pradesh
Hands-on exposure to AI/ML projects, tools, and industry practices. Assist in developing and implementing machine learning models and AI-based solutions.
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17h
Full-Stack Developer Intern (Python & React)
Fusionpact Career —Noida, Uttar Pradesh
Experience: 1–4 Years (Open to strong freshers with excellent project experience). You will be involved in the complete development lifecycle — from API design…
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AI/ML Developer Intern

Augurs Technologies Pvt. Ltd -
Lucknow, Uttar Pradesh

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Job details

Fresher | Full-time | Internship
17 hours ago

Qualifications

TensorFlow
Image processing
Computer Science
Software troubleshooting
PyTorch
Computer vision
NumPy
Git
Research
Master's degree
SQL
Pandas
OOP
Analysis skills
Bachelor's degree
Machine learning
Deep learning
Natural language processing
GitHub
Data science
Training & development
Data visualization
AI
Communication skills
Python

Full job description

Job Description: AI/ML Developer Intern

Position: AI/ML Developer Intern
Duration: 6 Months
Location: On-site – Gomti Nagar, Lucknow
Company: Augurs Technologies

Augurs Technologies is looking for enthusiastic and passionate AI/ML Developer Interns who are eager to build their careers in Artificial Intelligence and Machine Learning. This internship provides an excellent opportunity to gain hands-on experience in developing, testing, and implementing AI/ML solutions while working alongside experienced professionals in a collaborative environment.

Key Responsibilities

Assist in developing and implementing machine learning models and AI-based solutions.
Collaborate with the development team to understand project requirements and contribute to AI/ML implementations.
Perform data preprocessing, cleaning, and analysis to prepare datasets for model training.
Develop, train, test, and optimize machine learning models.
Assist in evaluating model performance and improving accuracy.
Work with Python libraries and frameworks used in AI/ML development.
Participate in research and experimentation with emerging AI/ML technologies.
Integrate AI/ML models into applications and support deployment activities.
Debug, troubleshoot, and resolve technical issues related to models and implementations.
Stay updated with the latest trends and advancements in Artificial Intelligence and Machine Learning.

Required Skills

Basic understanding of Artificial Intelligence and Machine Learning concepts.
Knowledge of Python programming and object-oriented programming concepts.
Familiarity with data handling and analysis using libraries such as NumPy and Pandas.
Basic understanding of machine learning algorithms and model evaluation techniques.
Knowledge of data preprocessing and feature engineering concepts.
Familiarity with ML frameworks/libraries such as Scikit-learn, TensorFlow, or PyTorch.
Basic understanding of SQL and database concepts.
Understanding of Git/GitHub version control.
Strong analytical, problem-solving, and research skills.
Good communication and teamwork abilities.

Preferred Qualifications

Pursuing or recently completed a Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Experience with academic, personal, or freelance AI/ML projects is a plus.
Familiarity with deep learning concepts and neural networks.
Basic knowledge of Natural Language Processing (NLP) or Computer Vision.
Understanding of data visualization tools and techniques.
Familiarity with cloud platforms and model deployment concepts.

What You'll Gain

Real-world experience in Artificial Intelligence and Machine Learning development.
Hands-on exposure to AI/ML projects, tools, and industry practices.
Mentorship from experienced professionals.
Opportunity to work on live projects and enhance technical skills.
Exposure to machine learning workflows, model development, and implementation.
Internship Completion Certificate upon successful completion of the internship.
Opportunity for future career growth and employment opportunities based on individual performance and organizational requirements.

Work Location: In person

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