AI Computer Vision Intern

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.

Job Types: Full-time, Internship

Pay: ₹10,000.00 - ₹15,000.00 per month

Work Location: In person