AI Full stack Developer

Remote: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Bachelor's or Master’s degree in Computer Science, Engineering, or related field., Strong proficiency in Python and experience with AI/ML libraries like TensorFlow or PyTorch., Experience with frontend frameworks such as Angular or React., Familiarity with backend frameworks like Flask, Django, or FastAPI..

Key responsibilities:

  • Develop and maintain full-stack AI applications using Python and Angular/React.
  • Build RESTful APIs and integrate machine learning models into production systems.
  • Collaborate with data scientists and product teams to deliver intelligent features.
  • Optimize application performance and ensure scalability.

Zealogics Inc logo
Zealogics Inc Information Technology & Services SME https://www.zealogics.com/
501 - 1000 Employees
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Job description

We are seeking a talented and motivated AI Full Stack Developer to join our team. You will be responsible for designing, developing, and deploying scalable AI-driven applications. The ideal candidate has strong backend experience with Python and proficiency in frontend frameworks like Angular or React.

Key Responsibilities:
  • Develop and maintain full-stack AI applications using Python and Angular/React.
  • Build RESTful APIs and integrate machine learning models into production systems.
  • Collaborate with data scientists and product teams to deliver intelligent features.
  • Optimize application performance and ensure scalability.
  • Write clean, maintainable, and testable code.
Required Skills:
  • Strong proficiency in Python and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with frontend frameworks: Angular or React.
  • Familiarity with backend frameworks like Flask, Django, or FastAPI.
  • Knowledge of databases (SQL/NoSQL) and cloud platforms (AWS, Azure, GCP).
  • Understanding of CI/CD pipelines and containerization (Docker, Kubernetes).
Preferred Qualifications:
  • Experience deploying ML models in production.
  • Familiarity with MLOps practices.
  • Bachelor's or Master’s degree in Computer Science, Engineering, or related field.

Required profile

Experience

Level of experience: Entry-level / graduate
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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