AI Engineer - Hyderabad

Key Skills

1. Programming Languages:
• Proficiency in Python, R, Java, or C++.
• Knowledge of scripting for data manipulation and analysis.
2. AI/ML Expertise:
• Familiarity with algorithms like decision trees, neural networks, and clustering.
• Experience with deep learning frameworks like TensorFlow, PyTorch, and Keras.
3. Mathematics and Statistics:
• Strong understanding of linear algebra, calculus, probability, and statistics.
• Ability to design and evaluate complex models.
4. Software Engineering:
• Knowledge of version control (e.g., Git), containerization (Docker), and CI/CD pipelines.
• Experience in building scalable and maintainable codebases.
5. Data Management:
• Expertise in working with SQL, NoSQL databases, and data pipelines.
• Ability to handle unstructured data from images, videos, or text.
6. Cloud Computing:
• Familiarity with AI services on AWS, Google Cloud, or Microsoft Azure.
• Knowledge of edge AI and deploying models on devices.
7. Problem Solving:
• Ability to identify technical challenges and find innovative solutions.

Tools and Technologies

• AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
• Data Manipulation: Pandas, NumPy, Matplotlib, Seaborn
• Cloud Platforms: AWS SageMaker, Google AI Platform, Azure ML
• Big Data Tools: Hadoop, Spark
• Version Control and Collaboration: Git, GitHub, Bitbucket
• Containerization: Docker, Kubernetes
• APIs and Integration: RESTful APIs, Flask, FastAPI