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.
Application Question(s):
- Internship duration: 6 months. No stipend will be provided for the first 4 months. Based on performance and progress, a stipend of ₹7,000 per month may be offered from the 5th month onwards. High-performing candidates may also be considered for a full-time opportunity.
Are you comfortable with it?
Education:
Location:
- Gurugram, Haryana (Preferred)
Work Location: In person
