Hiring :: Digital & GenAI Analyst
2 weeks ago
AI Developer:
Primary Skills Below are the skills required:
- Programming Languages: Python, R, Java, C++, JavaScript
- Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
- Deep Learning: Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers
- Natural Language Processing (NLP): Text Preprocessing, Sentiment Analysis, Named Entity Recognition (NER), Language Models (e.g., GPT, BERT)
- Computer Vision: Object Detection, Image Classification, OpenCV
- Data Engineering: Data Cleaning, Feature Engineering, Data Visualization (Matplotlib, Seaborn, Plotly)
- Cloud Platforms: AWS (SageMaker, Lambda), Google Cloud AI, Azure AI
- Big Data Tools: Apache Spark, Hadoop
• Model Deployment:
• Flask, FastAPI, Docker, Kubernetes - Mathematics and Statistics: Linear Algebra, Probability, Optimization Techniques
- Version Control:
• Git, GitHub, GitLab
Secondary Skills Below are the skills required:
- DevOps:
•CI/CD Pipelines, Jenkins, Terraform - Database Management: SQL, NoSQL (MongoDB, Cassandra)
- Reinforcement Learning: Q-Learning, Deep Q-Networks
- Edge AI: AI on IoT Devices, TensorFlow Lite, NVIDIA Jetson
- Agile Methodologies: Scrum, Kanban
- Visualization Tools: Tableau, Power BI
- Ethics in AI: Bias Mitigation, Explainable AI (XAI)
- Robotics: ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping)
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