Junior Python AI Engineer Foresight
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Job Location:
Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Key Responsibilities
Production-Grade Python: Write clean modular and efficient Python code. You will refactor research scripts into production-ready software (Classes APIs Logging).
Model Training & Debugging: Train Deep Learning models using PyTorch/TensorFlow. You must know how to debug a model that isnt learning (e.g. analyzing loss curves adjusting learning rates fixing vanishing gradients).
Data Engineering: Write efficient scripts (Pandas/NumPy) to clean normalize and pipeline complex vehicle data.
Deployment: Wrap your models in REST APIs (FastAPI/Flask) and ensure they run efficiently in a Docker container.
Growth: Learn Semantic Web technologies (RDF SPARQL) on the job to help us build the next generation of Neuro-symbolic AI.
Must-Have Skills
Python Mastery: 2 years of coding. You understand OOP (Classes/Inheritance) Decorators Generators and how to write memory-efficient code.
Deep Learning Frameworks: Hands-on experience with PyTorch or TensorFlow. You can write a custom training loop from scratch.
Problem Solving: You can look at raw data and determine the right algorithmic approach (Classification vs. Regression vs. Clustering).
Nice to Have
Experience with Graph Databases (Neo4j).
Familiarity with Cloud platforms (AWS/Azure).
Understanding of Transformers or LLM architectures
Required Experience:
Senior IC
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
