Junior Applied Scientist – Artificial Intelligence

You join a multidisciplinary research squad that ships real-world AI solutions for finance, healthcare, gaming, retail, and government projects. Expect to blend coding, statistics, and critical thinking as you translate business questions into deployable models.

What You’ll Do

- Write clean, testable Python to build and refine machine learning pipelines.  

- Analyze structured and unstructured data—discover patterns, validate hypotheses, visualize insights.  

- Debug training bottlenecks, profile performance, and fine-tune hyperparameters.  

- Document experiments, metrics, and findings in reproducible notebooks.  

- Maintain and version datasets with modern MLOps tools (DVC, Weights & Biases, MLflow).  

- Collaborate with senior scientists, data engineers, and product managers to deliver end-to-end solutions.  

- Proactively optimize models for speed, fairness, and interpretability.  

- Contribute to literature reviews and support publication of internal research notes.  

What You Bring

- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, or related STEM field.  

- 0–2 years of hands-on experience with Python and popular AI libraries (PyTorch, TensorFlow, scikit-learn).  

- Solid grasp of supervised and unsupervised learning, experimental design, and applied statistics.  

- Familiarity with SQL, Pandas, and data visualization frameworks such as Matplotlib or Seaborn.  

- Comfort using Git, CLI tools, and Linux environments.  

- Strong problem-solving instincts, logical reasoning, and an eye for reproducibility.  

- Clear written and verbal communication—you explain complex ideas in plain English.  

- Adaptability to shifting priorities; you thrive in a fast iteration loop.  

Why This Team

Research spirit, production mindset—you experience both academic rigor and agile delivery. You’ll engage with mentorship programs, weekly reading groups, and code reviews that speed up your learning curve. Above all, you will see your Artificial Intelligence models making measurable impact for millions of users.