What are the responsibilities and job description for the Junior AI Analyst position at Augment Jobs?
Position Overview
As a Junior AI Analyst, you will support the AI team in developing, implementing, and optimizing machine learning models and data-driven solutions. You will work closely with senior analysts and engineers to analyze data, build models, and extract actionable insights to drive business decisions.
Key Responsibilities
As a Junior AI Analyst, you will support the AI team in developing, implementing, and optimizing machine learning models and data-driven solutions. You will work closely with senior analysts and engineers to analyze data, build models, and extract actionable insights to drive business decisions.
Key Responsibilities
- Data Analysis: Collect, clean, and preprocess data from various sources to prepare for analysis and modeling.
- Model Development: Assist in the development and training of machine learning models, including supervised and unsupervised learning techniques.
- Performance Evaluation: Evaluate model performance using appropriate metrics and refine models to improve accuracy and efficiency.
- Reporting: Generate and present reports on model performance, data trends, and insights to stakeholders.
- Collaboration: Work with cross-functional teams to understand business needs and translate them into technical requirements for AI solutions.
- Research: Stay current with advancements in AI and machine learning technologies, applying new techniques and tools to improve existing processes.
- Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
- Experience: 1-2 years of experience in a data analysis or AI-related role. Internships or academic projects related to AI are also considered.
- Skills:
- Proficiency in programming languages such as Python or R.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
- Knowledge of SQL for data querying and manipulation.
- Experience with version control systems (e.g., Git).
- Competitive salary and performance-based bonuses.
- Comprehensive benefits package including health, dental, and vision insurance.
- Opportunities for professional development and career advancement.
- A collaborative and innovative work environment.
- Flexible working hours and remote work options.
