Job Description

About the Company

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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

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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

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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

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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

Benefits:

Flexible schedule Work from home
Work Location: Remote