Senior Full Stack Developer (Python + React + Data Science)

About the Role:

Senior Full Stack Developer

Key Responsibilities:

• Design, develop, and maintain full-stack web applications using

  React

  (frontend) and

  Python

  (Flask/Django/FastAPI) for the backend.
• Collaborate with cross-functional teams to translate product requirements into scalable, maintainable code.
• Integrate and deploy

  machine learning models

  and

  data pipelines

  into production applications.
• Perform data preprocessing, analysis, and visualization to support product features and decision-making.
• Optimize front-end performance and ensure responsive, user-friendly UI/UX.
• Build and maintain RESTful APIs and work with cloud-based services (AWS/GCP/Azure).
• Ensure high code quality through unit testing, code reviews, and automated CI/CD pipelines.
• Mentor junior developers and contribute to architecture discussions.

Must-Have Skills:

• Strong proficiency in

  Python

  and its frameworks Flask, Django, or FastAPI.
• Solid hands-on experience with

  React.js

  , Redux, and modern front-end development.
• Good understanding of

  data structures

  ,

  algorithms

  , and

  OOP

  principles.
• Experience working on

  data science projects

  including model training, evaluation, and deployment.
• Familiarity with libraries such as

  Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch

  .
• Experience building and consuming

  RESTful APIs

  .
• Proficient in working with

  SQL

  and

  NoSQL databases

  (e.g., PostgreSQL, MongoDB).
• Familiar with

  Git

  , Docker, and cloud platforms (e.g., AWS Lambda, EC2, S3, etc.).

Good to Have:

• Knowledge of

  MLOps tools

  (e.g., MLflow, Kubeflow, Airflow).
• Exposure to

  container orchestration

  (e.g., Kubernetes).
• Experience with

  streaming data

  or

  real-time analytics

  (Kafka, Spark, etc.).
• Understanding of

  CI/CD pipelines

  and DevOps practices.

Qualifications:

• Bachelors/Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of relevant industry experience with at least 2 years in data-driven projects.