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AI Computer Vision Intern

CogniForge Technologies
Gurugram, Haryana

Quick apply

Job details

Fresher | Full-time | Internship
₹5,000 a month
5 days ago

Qualifications

Jira
TensorFlow
CI/CD
Power BI
Image processing
Azure
Computer Science
React
Kubernetes
D3.js
Computer vision
NumPy
Encryption
Slack
Trello
NoSQL
Git
Google Cloud Platform
MongoDB
Tableau
Master's degree
SQL
Pandas
AWS
Analysis skills
Project management
Docker
Bachelor's degree
Machine learning
JavaScript
PostgreSQL
Continuous integration
Back-end development
REST
Angular
Django
OpenCV
GitHub
APIs
S3
JSON
Data science
Keras
Flask
AI
Jenkins
GitLab
Communication skills
Python
Data Science

Full job description

About the Company:
CogniForge Technologies is an innovative technology company dedicated to transforming through advanced AI solutions. Our AI-based monitoring system aims to enhance safety, efficiency, and productivity by integrating cutting-edge AI technologies with existing infrastructure.

Job Overview:

We are seeking a highly skilled and motivated AI Intern to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and computer vision. They will be responsible for developing and implementing AI algorithms.

Key Responsibilities:

Develop AI Algorithms: Design, develop, and implement AI algorithms for various monitoring system features.
Machine Learning Models: Train, validate, and deploy machine learning models.
Data Analysis: Analyze large datasets to improve algorithm accuracy and performance.
Integration: Work closely with the engineering team to integrate AI algorithms with existing systems and software platforms.
Research & Development: Stay updated with the latest AI research and technologies, apply new findings to improve our system.
Performance Optimization: Continuously monitor and optimize the performance of AI models to ensure high accuracy and efficiency.
Documentation: Maintain thorough documentation of AI models, algorithms, and development processes.
Compliance: Ensure all AI applications comply with relevant legal and ethical standards, particularly around data privacy and security.

Required Skills and Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Experience: Minimum 1-2 years of experience in AI/ML development. o Proven track record of developing and deploying machine learning models in real-world applications.

Technical Skills:

1. *Programming and Environment Setup:

Python Programming: Python 3.x
Environment Management: Anaconda, Miniconda, Virtualenv
Package Management: pip, conda 2. *Data Handling and Preprocessing:
Data Handling: pandas, NumPy
Data Visualization: Matplotlib, Seaborn, Plotly, Tableau or Power BI for creating detailed reports and dashboards.
Data Augmentation: imgaug, Albumentations
Database Connectivity: SQLAlchemy, pymongo (MongoDB), psycopg2 (PostgreSQL)

3. *Machine Learning and Deep Learning:

Machine Learning Libraries: scikit-learn
Deep Learning Frameworks: TensorFlow, Keras, PyTorch
Pre-trained Models and Transfer Learning: TensorFlow Hub, PyTorch Hub, Hugging Face Transformers
Model Deployment: TensorFlow Serving, TorchServe

4. *Computer Vision:

Image Processing: OpenCV, Pillow
Object Detection and Recognition: YOLO, SSD, Faster R- CNN
Facial Recognition: dlib, face_recognition, OpenFace
Audio Processing (for Noise Level Monitoring):
Audio Libraries: librosa, PyDub
Speech Recognition: SpeechRecognition, Google Cloud Speech-to-Text

6. *Data Storage and Management:

Databases: MongoDB (NoSQL), PostgreSQL (SQL)
Cloud Storage: AWS S3, Google Cloud Storage, Azure Blob Storage

7. *Backend Development:

Web Frameworks: Flask, Django, FastAPI
API Development: Flask-RESTful, Django REST Framework, FastAPI

8. Frontend Development:

Frontend Frameworks: React.js, Vue.js, Angular o Visualization Libraries: D3.js, Chart.js
DevOps and Deployment:
Containerization: Docker
Orchestration: Kubernetes
CI/CD: Jenkins, GitHub Actions, GitLab CI

10. Cloud Platforms:

Cloud Providers: AWS, Google Cloud Platform, Microsoft Azure
AI/ML Services: AWS SageMaker, Google AI Platform, Azure Machine Learning.

11. Monitoring and Logging:

Logging: Loguru, Logging (Python's standard library) o Monitoring: Prometheus, Grafana

12. Security and Compliance:

Data Encryption: cryptography, PyCrypto
Authentication and Authorization: OAuth (Authlib), JWT (JSON Web Tokens)
Compliance Tools: Differential Privacy Libraries (TensorFlow Privacy)

13. *Documentation:

Documentation Tools: Sphinx, MkDocs

14. *Code Quality and Testing: o Linting: pylint, flake8

Testing: pytest, unittest
Static Type Checking: mypy

15. Project Management and Collaboration:

Version Control: Git, GitHub/GitLab/Bitbucket
Project Management Tools: Jira, Trello, Asana o Communication Tools: Slack, Microsoft Teams

16. AI Ethics and Compliance:

Ethics Frameworks: Fairness Indicators (TensorFlow), AI Fairness 360 (IBM)

Analytical Skills:

Excellent problem-solving skills with the ability to analyze complex data sets.

Soft Skills:

Strong communication and teamwork abilities.
Ability to work independently and manage multiple tasks efficiently.
Attention to detail and a strong commitment to quality.

Pay: ₹5,000.00 per month

Application Question(s):

Are you comfortable with 5000 per month as stipend?

Education:

Bachelor's (Required)

Location:

Gurugram, Haryana (Preferred)

Work Location: In person

Quick apply

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