Junior AI Specialist

You will join a cross-functional AI unit that partners with product, design, and cloud operations. The group experiments fast, values clean code, and champions remote collaboration across time zones.  

Your Impact  

– Transform raw data into deployable models that power real-time decisions.  

– Prototype algorithms that reduce operational costs and increase customer engagement.  

– Document workflows so future engineers can iterate quickly.  

– Present insights to non-technical stakeholders, translating statistics into strategy.  

Day-to-Day Tasks  

– Clean, explore, and visualize structured and unstructured datasets.  

– Train supervised and unsupervised models using TensorFlow, PyTorch, or Scikit-learn.  

– Debug model drift, tune hyperparameters, and push updates to a CI/CD pipeline.  

– Integrate RESTful microservices with existing product APIs.  

– Pair-program with senior data scientists during code reviews—continuous learning guaranteed.  

– Write crisp technical notes, unit tests, and experiment logs.  

– Collaborate with UX researchers to validate predictive outputs.  

Required Skills  

– 1+ year academic or internship experience in Python 3.x for data science.  

– Solid grasp of linear algebra, probability, and gradient-based optimization.  

– Familiarity with cloud notebooks (Jupyter, Colab) and Git version control.  

– Ability to explain confusion matrices, ROC curves, and cross-validation.  

– Clear, concise English communication; you tailor explanations to any audience.  

Preferred Plus  

– Coursework or projects in natural language processing or computer vision.  

– Exposure to Docker, Kubernetes, or serverless functions.  

– Knowledge of MLOps tools such as MLflow or Weights & Biases.  

– Participation in Kaggle competitions or open-source contributions.