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IT AI Roles
16 hours ago
Job Descriptions
AI Engineer
Design, develop, and deploy machine learning models.
- Preprocess and analyze large datasets to extract meaningful insights.
- Optimize existing machine learning models for performance and scalability.
- Collaborate with data scientists and software engineers to integrate AI solutions into products.
- Stay updated with the latest advancements in AI/ML technologies.
- Having great programming skills in Python, R, or Java.
- Experience with machine learning frameworks like TensorFlow or PyTorch.
- Knowledge of data preprocessing and feature engineering techniques.
AI Data
Analyze complex datasets to identify trends and patterns.
- Develop predictive models and algorithms.
- Communicate findings to stakeholders through visualizations and reports.
- Collaborate with cross-functional teams to implement data-driven solutions.
- Continuously improve models based on new data and feedback.
- Proficient in data analysis tools and programming languages.
- Strong understanding of statistical methods and machine learning algorithms.
- Experience with data visualization tools like Tableau or Power BI
Requirement:
- Programming Languages: Proficiency in Python, R, Java, Flask/FastAPI, C++, or other relevant languages.
- Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Keras, or similar frameworks.
- Data Manipulation and Analysis: Skills in using tools like Pandas, NumPy, and SQL.
- Cloud Platforms: Experience with AWS, Google Cloud, Azure, or other cloud services.
- AI Algorithms: Knowledge of neural networks, natural language processing, computer vision, and reinforcement learning.
- Software Development: Understanding of software engineering principles, version control (Git), and CI/CD pipelines
- Bachelor's Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.