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:

2. Python Programming: Python 3.x

3. Environment Management: Anaconda, Miniconda, Virtualenv
4. Package Management: pip, conda 2. *Data Handling and Preprocessing:
5. Data Handling: pandas, NumPy
6. Data Visualization: Matplotlib, Seaborn, Plotly, Tableau or Power BI for creating detailed reports and dashboards.
7. Data Augmentation: imgaug, Albumentations

8. Database Connectivity: SQLAlchemy, pymongo (MongoDB), psycopg2 (PostgreSQL)

9. *Machine Learning and Deep Learning:

10. Machine Learning Libraries: scikit-learn

11. Deep Learning Frameworks: TensorFlow, Keras, PyTorch
12. Pre-trained Models and Transfer Learning: TensorFlow Hub, PyTorch Hub, Hugging Face Transformers

13. Model Deployment: TensorFlow Serving, TorchServe

14. *Computer Vision:

15. Image Processing: OpenCV, Pillow

16. Object Detection and Recognition: YOLO, SSD, Faster R- CNN
17. Facial Recognition: dlib, face_recognition, OpenFace
18. Audio Processing (for Noise Level Monitoring):
19. Audio Libraries: librosa, PyDub

20. Speech Recognition: SpeechRecognition, Google Cloud Speech-to-Text

21. *Data Storage and Management:

22. Databases: MongoDB (NoSQL), PostgreSQL (SQL)

23. Cloud Storage: AWS S3, Google Cloud Storage, Azure Blob Storage

24. *Backend Development:

25. Web Frameworks: Flask, Django, FastAPI

26. API Development: Flask-RESTful, Django REST Framework, FastAPI

27. Frontend Development:

28. Frontend Frameworks: , , Angular o Visualization Libraries: ,

29. DevOps and Deployment:
30. Containerization: Docker
31. Orchestration: Kubernetes

32. CI/CD: Jenkins, GitHub Actions, GitLab CI

33. Cloud Platforms:

34. Cloud Providers: AWS, Google Cloud Platform, Microsoft Azure

35. AI/ML Services: AWS SageMaker, Google AI Platform, Azure Machine Learning.

36. Monitoring and Logging:

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

38. Security and Compliance:

39. Data Encryption: cryptography, PyCrypto

40. Authentication and Authorization: OAuth (Authlib), JWT (JSON Web Tokens)

41. Compliance Tools: Differential Privacy Libraries (TensorFlow Privacy)

42. *Documentation:

43. Documentation Tools: Sphinx, MkDocs

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

45. Testing: pytest, unittest

46. Static Type Checking: mypy

47. Project Management and Collaboration:

48. Version Control: Git, GitHub/GitLab/Bitbucket

49. Project Management Tools: Jira, Trello, Asana o Communication Tools: Slack, Microsoft Teams

50. AI Ethics and Compliance:

51. 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

Benefits:

• Flexible schedule
• Work from home

Work Location: Remote