AI Apprentice – Entry-Level Artificial Intelligence Job

You’ll step into a mid-sized US product company whose core mission is transforming raw data into actionable intelligence. A flat structure, transparent feedback loops, and a culture that values psychological safety give newcomers freedom to question assumptions and ship bold ideas.

What You’ll Do  

- Clean, normalize, and label large data sets to improve model accuracy.  

- Write clear, modular Python scripts that automate repetitive preprocessing tasks.  

- Prototype simple neural networks in TensorFlow and track their performance metrics.  

- Debug predictive algorithms, identify bottlenecks, and suggest refinements.  

- Document experiments, decisions, and results for future replication.  

- Cooperate with data scientists, DevOps engineers, and product managers during agile sprints.  

- Present weekly learnings to cross-functional peers—communication counts.  

- Explore cutting-edge AI tools, libraries, and frameworks, sharing insights with the wider guild.  

Required Skills & Qualifications  

- Bachelor’s degree in Computer Science, Data Science, or related STEM field.  

- Solid grasp of Python fundamentals, including list comprehensions and pandas DataFrames.  

- Introductory knowledge of machine-learning concepts: supervised vs. unsupervised, overfitting, cross-validation.  

- Familiarity with TensorFlow or PyTorch; willingness to deepen expertise quickly.  

- Basic statistics: mean, variance, probability distributions.  

- Comfort navigating Linux command line and Git version control.  

- Analytical mindset, tenacity in debugging, and appetite for continuous learning.  

- Clear written and verbal English; feedback-oriented collaboration style.  

Tech Stack You’ll Explore  

- Python 3.12, TensorFlow 2.x, Keras, NumPy, pandas.

- JupyterLab, MLflow, Weights & Biases.  

- Docker, Kubernetes, RESTful APIs.  

- PostgreSQL, Redis, Apache Airflow.  

Growth & Mentorship  

Expect daily code reviews, fortnightly one-to-ones, and tailored learning paths covering prompt engineering, generative models, and AI ethics. Successful apprentices often transition into Junior Machine Learning Engineer roles within 9-12 months.

Why You’ll Thrive Here  

- Remote-first policy with optional on-site hackathons.  

- Slack-based communities of practice for rapid knowledge exchange.  

- Internal demo days that celebrate experimentation—unfinished prototypes welcome!  

- Recognition program rewarding intellectual curiosity as much as shipped features.